Generated by All in One SEO v5.0.0.1, this is an llms.txt file, used by LLMs to index the site.

# Code Codence | Learn. Grow. Succeed.

Affordable Courses in Data Science and Design Training

## Sitemaps

- [XML Sitemap](https://codecodence.com/sitemap.xml): Contains all public & indexable URLs for this website.

## Posts

- [Blog](https://codecodence.com/blog/) - Explore expert articles on AI, coding, app development, and tech education. Stay updated with Code Codence’s latest insights, tips, and industry trends.

## Pages

- [Home](https://codecodence.com/) - Learn best job oriented course in Python, AI, Data Analytics & Web Development at Code Codence. Job-focused training, real projects & expert mentors in India.
- [About Us](https://codecodence.com/about-us/) - Discover Code Codence – a trusted platform provide expert-led online courses in AI, Data Science, Data Analytics, Python, and more to empower learners future.
- [Contact](https://codecodence.com/contact/) - Have questions or need support? Reach out to the Code Codence team for course details, collaborations, or service inquiries. We're here to help!
- [Integrated Add-On](https://codecodence.com/integrated-add-on/) - Streamline operations with Code Codence’s add-on services and automation consulting. Optimize workflows, boost efficiency, and scale your business smarter.
- [Web Development](https://codecodence.com/web-development/) - Get responsive, fast, and scalable websites built to perform. Code Codence offers expert web development solutions tailored to your business goals.
- [Student-Centric Design](https://codecodence.com/student-centric-design/) - Create better learning experiences with student-focused design. Code Codence delivers tailored solutions that engage, empower, and elevate student outcomes.
- [Strategic Content & Automation Services](https://codecodence.com/strategic-content-automation-services/) - Automate your content workflow with smart strategies. Boost engagement, save time, and drive growth with Code Codence's expert automation services.
- [Skill & Career Support](https://codecodence.com/skill-career-support/) - Get expert career advice and skill support tailored for students and professionals . Explore tech careers, training, and future opportunities at Code Codence.
- [Project Support & Development](https://codecodence.com/project-support-development/) - Get expert help with project development and support at Code Codence. Boost your skills, complete academic or professional projects, and deliver real results.
- [Portfolio Masonry 2](https://codecodence.com/portfolio-masonry-2/) - Explore a gallery of real-world projects built by Code Codence students. See practical applications of Data Science, AI, Python & more.
- [Portfolio Masonry](https://codecodence.com/portfolio-masonry/) - Explore Code Codence’s portfolio gallery of tech projects, designs, and digital solutions. See our work in book, courses desing, and more—all in one place.
- [Performance & Platform Marketing](https://codecodence.com/performance-platform-marketing/) - Drive measurable growth with Code Codence’s performance marketing. Expert strategies for SEO, Google Ads, Meta Ads, and platform-specific digital campaigns.
- [Maintenance](https://codecodence.com/maintenance/) - We’re currently performing scheduled maintenance. The Code Codence website will be back online shortly. Thanks for your patience and understanding.
- [Logo Design](https://codecodence.com/logo-design/) - Create a memorable brand identity with professional logo design by Code Codence. Unique, versatile, and impactful logos customized to your business vision.
- [Landing Page Website](https://codecodence.com/landing-page-website/) - Get high-converting landing pages designed to capture leads and drive action. Code Codence builds fast, responsive, and goal-focused landing page websites.
- [Instructors](https://codecodence.com/instructors-2/) - Explore expert instructors at Code Codence. Learn from certified professionals in AI, development, design, and tech courses—designed for real-world success.
- [Graphic Design & Branding](https://codecodence.com/graphic-design-branding/) - Build a strong visual identity with Code Codence. We offer custom logo design, brand kits, marketing graphics, and complete branding solutions for businesses.
- [FAQs](https://codecodence.com/faqs/) - Find answers to frequently asked questions (FAQs) about our courses, services, payments, and platform. Get quick support and clear guidance at Code Codence.
- [Ecommerce Website Designing](https://codecodence.com/ecommerce-website-designing/) - Build scalable e‑commerce stores with secure payments, custom design, & conversion‑optimized layouts. Partner with Code Codence for your online retail success.
- [Dynamic Website Designing](https://codecodence.com/dynamic-website-designing/) - Get interactive, user-friendly, and responsive websites designed by Code Codence. We build dynamic web solutions tailored to your brand and business needs.
- [Digital Marketing](https://codecodence.com/digital-marketing/) - Boost your online presence with expert digital marketing services by Code Codence. SEO, social media, PPC, % strategy services tailored to your business goals.
- [Corporate & Startup Services](https://codecodence.com/corporate-startup-services/) - Empower your business with custmized tech solutions by Code Codence. We offer development, AI tools, and training services for startups and enterprises.
- [Checkout](https://codecodence.com/lp-checkout/) - Complete your course or service purchase with our secure and easy checkout process. Fast, safe, and hassle-free at Code Codence.
- [Become an Instructor](https://codecodence.com/become-an-instructor/) - Join Code Codence as an instructor and turn your expertise into impact. Teach online courses in tech, coding, design, and more—at your own pace.
- [Become A Teacher](https://codecodence.com/lp-become-a-teacher/) - Share your tech skills and inspire students globally. Join Code Codence as an instructor and teach courses in AI, development, design, and more.
- [App Development](https://codecodence.com/app-development/) - Get custom mobile app development services with Code Codence. We build scalable Android, iOS, and cross-platform apps tailored to your business goals.
- [All Courses](https://codecodence.com/courses/) - Explore professional tech courses by Code Codence. Learn AI, web development, Python, and more with expert mentors. Enroll now to boost your tech career.
- [AI-Based Business Solutions](https://codecodence.com/ai-based-business-solutions/) - Transform your business with smart AI-based solutions from Code Codence. We deliver AI strategies that drive automation, growth, and smarter decision-making.
- [AI Tools Development](https://codecodence.com/ai-tools-development/) - Build intelligent, custom AI tools with Code Codence. We design and develop powerful AI solutions to automate, analyze, and optimize business operations.
- [Account](https://codecodence.com/account/) - Access your Code Codence account to manage services, view orders, and track academic or technical projects. Login or register for personalized support.
- [Academic & Student Services](https://codecodence.com/academic-student-services/) - Explore Code Codence's Academic & Student Services, offering tech training, project support, and career guidance for students across all technical domains.
- [Cancellation Policy](https://codecodence.com/cancellation-policy/) - Understand Code Codence’s course and service cancellation policy. Learn about valid timelines, conditions, and procedures for successful cancellations.
- [Refund Policy](https://codecodence.com/refund-policy/) - Review Code Codence’s refund policy for online courses and services. Learn about eligibility, timelines, and support for smooth refund processing.
- [Privacy Policy](https://codecodence.com/privacy-policy/) - Learn how Code Codence collects, uses, and protects your personal data. Our privacy policy ensures a secure and transparent online learning experience.
- [Terms And Conditions](https://codecodence.com/terms-conditions/) - Read the terms and conditions of Code Codence to understand user responsibilities, course access, refund policy, and platform usage guidelines.
- [Digital Marketing Services](https://codecodence.com/digital-marketing-services/)
- [Social Media Optimization(SMO)](https://codecodence.com/social-media-optimizationsmo/) - 🚧 Service Coming Soon We’re working hard to bring this service to you! Stay tuned — something amazing is on the way. For updates or inquiries, feel free to contact us or follow us on our social media channels. Thank you for your patience and support!
- [Search Engine Optimization(SEO)](https://codecodence.com/search-engine-optimizationseo/) - 🚧 Service Coming Soon We’re working hard to bring this service to you! Stay tuned — something amazing is on the way. For updates or inquiries, feel free to contact us or follow us on our social media channels. Thank you for your patience and support!
- [Website Development & Designing](https://codecodence.com/website-development-designing/) - 🚧 Service Coming Soon We’re working hard to bring this service to you! Stay tuned — something amazing is on the way. For updates or inquiries, feel free to contact us or follow us on our social media channels. Thank you for your patience and support!
- [Static Website Designing](https://codecodence.com/static-website-designing/) - 🚧 Service Coming Soon We’re working hard to bring this service to you! Stay tuned — something amazing is on the way. For updates or inquiries, feel free to contact us or follow us on our social media channels. Thank you for your patience and support!
- [Shop](https://codecodence.com/shop/)
- [User Register](https://codecodence.com/user-register/)
- [User Login](https://codecodence.com/user-login/)
- [Forgot Password](https://codecodence.com/forgot-password/)
- [Reset Password](https://codecodence.com/reset-password/)
- [User Account](https://codecodence.com/user-account/)
- [Profile](https://codecodence.com/lp-profile/) - This shortcode LP Profile only use on the page Profile
- [Instructors](https://codecodence.com/instructors/)
- [Instructor](https://codecodence.com/instructor/)
- [Term Conditions](https://codecodence.com/lp-term-conditions/)
- [Instructor](https://codecodence.com/instructor-2/)
- [LP Become A Teacher](https://codecodence.com/lp-become-a-teacher-2/)
- [Courses](https://codecodence.com/courses-2/)
- [LP Profile](https://codecodence.com/lp-profile-2/)
- [LP Checkout](https://codecodence.com/lp-checkout-2/)
- [Gallery](https://codecodence.com/gallery/)
- [Profile](https://codecodence.com/profile/)

## Events

- [🎯 Master Data Science Workshop](https://codecodence.com/events/🎯-master-data-science-workshop/) - 📖 Workshop Description Join our exclusive 2-hour Live Data Science Workshop and unlock the knowledge you need to grow your career. Designed for both students and professionals, this hands-on session will guide you through real-world case studies, data tools, career options, salary trends, and much more. This is your opportunity to gain practical experience and
- [Applying Natural Laws to Technology and Society](https://codecodence.com/events/applying-natural-laws-to-technology-and-society/) - Morbi accumsan ipsum velit. Nam nec tellus a odio tincidunt auctor a ornare odio. Sed non mauris itae erat conuat
- [Managing Time for Study](https://codecodence.com/events/managing-time-for-study/) - Morbi accumsan ipsum velit. Nam nec tellus a odio tincidunt auctor a ornare odio. Sed non mauris itae erat conuat
- [Roundtable discussion on STEAM education](https://codecodence.com/events/roundtable-discussion-on-steam-education/) - Morbi accumsan ipsum velit. Nam nec tellus a odio tincidunt auctor a ornare odio. Sed non mauris itae erat conuat
- [Education Autumn Tour](https://codecodence.com/events/education-autumn-tour/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
- [Change career to teaching](https://codecodence.com/events/change-career-to-teaching/) - Morbi accumsan ipsum velit. Nam nec tellus a odio tincidunt auctor a ornare odio. Sed non mauris itae erat conuat
- [Autumn Science Lectures](https://codecodence.com/events/autumn-science-lectures/) - Morbi accumsan ipsum velit. Nam nec tellus a odio tincidunt auctor a ornare odio. Sed non mauris itae erat conuat
- [Build Education Website Using WordPress](https://codecodence.com/events/build-education-website-using-wordpress/) - Tech you how to build a complete Learning Management System with WordPress and LearnPress.
- [Elegant Light Box Paper Cut Dioramas](https://codecodence.com/events/elegant-light-box-paper-cut-dioramas-1/) - Morbi accumsan ipsum velit. Nam nec tellus a odio tincidunt auctor a ornare odio. Sed non mauris itae erat conuat

## Courses

- [Full Stack Development Using Java](https://codecodence.com/courses/web-designing-web-development/full-stack-development-using-java/) - Join the best Full Stack Web Development Course in Delhi NCR & India. Master Java, Front-End & Back-End skills with live projects and expert mentors.
- [Full Stack Development Using Python](https://codecodence.com/courses/web-designing-web-development/full-stack-develent-using-python/) - Master frontend & backend with Python. Build full stack apps, gain real-world skills, and launch your career with Code Codence’s Full Stack Development Course.
- [Excel- Basics to Advance](https://codecodence.com/courses/data-analytics/excel-basics-to-advance/) - Learn Excel from basics to advanced. Gain skills in formulas, data analysis, and reporting with Code Codence’s expert-led Excel training in Delhi NCR.
- [Data Science With Gen AI](https://codecodence.com/courses/data-science/data-science-with-gen-ai/) - Master Python, ML & Data Science With Gen AI in one advanced program. 100% placement support, real-world projects & certification internships at Code Codence.
- [Data Science Using Python](https://codecodence.com/courses/data-science/data-science-using-python/) - Join our online Data Science Course with certification led by experts and 100% placement assistance. Become data scientist and machine learning engineer.
- [MySQL](https://codecodence.com/courses/database/mysql/) - Learn MySQL from basics to advanced in Delhi NCR. Build strong database skills for real-world applications with expert learning. Enroll now at Code Codence.
- [Artificial Intelligence Using Python](https://codecodence.com/courses/data-science/data-science-using-pythoncopy/) - Join the Best Artificial Intelligence Course in Delhi NCR. Learn AI using Python with expert mentors, live projects, and job-ready certification.
- [Business Analytics](https://codecodence.com/courses/data-analytics/business-analytics/) - Join the top Business Analytics Course in Delhi, Noida & India. Master Excel, Power BI & Data Visualization with live projects- career guidance in Code Codence.
- [Power BI](https://codecodence.com/courses/data-science/power-bi/) - Get career-ready with Code Codence’s Power BI training in Delhi NCR. Learn data visualization, DAX, and real-world reporting to excel in business analytics.
- [Tableau](https://codecodence.com/courses/data-analytics/tableau/) - Learn Tableau to create stunning dashboards and unlock data insights. Join Code Codence’s expert-led training and become a data visualization pro.
- [Machine Learning & Deep Learning](https://codecodence.com/courses/data-science/machine-learning-deep-learning/) - Code Codence - Machine Learning Training Institute in Noida. Learn AI, build real-world models, and boost your career with expert-led training.
- [Python Programming Course](https://codecodence.com/courses/programming-language/python-programming-course/) - Master Python programming from scratch to advanced. Build real-world skills with industry-ready training. Join Code Codence’s Python course today!
- [Data Analytics Using Python](https://codecodence.com/courses/data-science/data-analytics-using-pythoncopy/) - Learn Data Analytics Using Python from basics to advanced. Gain practical skills & become job-ready with Code Codence’s expert-designed online course.

## Lessons

- [Module 1: Introduction to Power BICopy](https://codecodence.com/lessons/module-1-introduction-to-power-bicopy-3/) - Topics: Introduction to Business Intelligence (BI) and Various BI Tools Overview of Power BI and Its Components Installing Power BI Desktop
- [Module 2: Data VisualizationCopy](https://codecodence.com/lessons/module-2-data-visualizationcopy-3/) - Topics: Understanding Power View and Power Map Visualization Techniques and Formatting Creating Various Charts: Column, Pie, Donut, Scatter, Funnel Charts Geographical Data Visualization Using Maps Implementing Drill Down and Drill Through Utilizing Bookmarks and Selection Pane Comparing Volume and Value-Based Analytics Using Filter Pane and Slicers Implementing Hierarchies in Drill Down Analysis Syncing Slicers and
- [Module 3: Power BI Service, Publishing & SharingCopy](https://codecodence.com/lessons/module-3-power-bi-service-publishing-sharingcopy-3/) - Topics: Introduction to Power BI Service and Workspaces Creating and Configuring Dashboards Understanding Dashboard Themes Differentiating Reports vs. Dashboards Sharing Reports and Dashboards
- [Module 4: Data TransformationCopy](https://codecodence.com/lessons/module-4-data-transformationcopy-3/) - Topics: Shaping Data Using Power Query Editor Formatting and Transforming Data Understanding Data Types and Best Practices Working with Parameters Merging and Appending Queries Grouping, Duplicating, and Referencing Tables Pivoting, Un-pivoting, and Custom Columns Replacing Data, Splitting Columns, and Moving Columns Promoting Rows as Column Headers
- [Module 5: Data Modeling & DAXCopy](https://codecodence.com/lessons/module-5-data-modeling-daxcopy-3/) - Topics: Understanding Relationships and Creating Relationships Cardinality and Cross Filter Direction Introduction to DAX and Its Syntax Using DAX Functions for Calculated Columns, Measures, and Tables Learning Table, Information, Logical, Text, Iterator, and Time Intelligence Functions (YTD, QTD, MTD) Cumulative Values, Calculated Tables, and Ranking
- [Module 1: Tableau OverviewCopy](https://codecodence.com/lessons/module-1-tableau-overviewcopy-3/) - Topics: Introduction to Tableau Environment Setup Getting Started with Tableau Navigation and Design Flow Understanding File Types and Data Types Utilizing "Show Me" Feature Data Terminology in Tableau
- [Module 2: Data SourcesCopy](https://codecodence.com/lessons/module-2-data-sourcescopy-3/) - Topics: Custom Data Views Connecting to Data Sources Extracting Data Field Operations Editing Metadata Data Joining and Blending
- [Module 3: WorksheetsCopy](https://codecodence.com/lessons/module-3-worksheetscopy-3/) - Topics: Adding and Renaming Worksheets Saving and Deleting Worksheets Reordering Worksheets Creating Paged Workbooks
- [Module 4: CalculationsCopy](https://codecodence.com/lessons/module-4-calculationscopy-3/) - Topics: Operators and Functions Numeric, String, and Date Calculations Table Calculations Level of Detail (LOD) Expressions
- [Module 5: Sorting & FilteringCopy](https://codecodence.com/lessons/module-5-sorting-filteringcopy-3/) - Topics: Basic Sorting and Filtering Quick, Context, Condition, and Top Filters Filter Operations
- [Module 6: Data VisualizationCopy](https://codecodence.com/lessons/module-6-data-visualizationcopy-3/) - Topics: Creating Various Chart Types: Bar, Line, Pie, and Crosstab Charts Scatter, Bubble, Bullet, Box, Tree Map, Bump, Gantt, Histogram, Waterfall, and Motion Charts Building Dashboards
- [Module 7: ProjectsCopy](https://codecodence.com/lessons/module-7-projectscopy-3/) - Topics: Create one project using Python & SQL Design one interactive dashboard using Tableau
- [Module 1: Introduction to VBACopy](https://codecodence.com/lessons/module-1-introduction-to-vbacopy-3/) - Topics: Overview of VBA Importance of VBA in Data Analytics and Data Science Understanding the VBA Environment in Excel Navigating the VBA Editor
- [Module 2: Automating Data Tasks with MacrosCopy](https://codecodence.com/lessons/module-2-automating-data-tasks-with-macroscopy-3/) - Topics: Recording and Editing Macros How to Record Macros for Data Automation Editing and Improving Recorded Macros Best Practices for Macro Recording in Data Workflows
- [Module 3: Fundamental VBA Programming ConceptsCopy](https://codecodence.com/lessons/module-3-fundamental-vba-programming-conceptscopy-3/) - Topics: Basic Programming in VBA Variables, Data Types, and Constants Control Structures: If Statements, Loops (For, While) Writing Functions and Subroutines for Data Operations
- [Module 4: Working with Excel ObjectsCopy](https://codecodence.com/lessons/module-4-working-with-excel-objectscopy-3/) - Topics: Excel Object Model for Data Analysis Manipulating Workbooks, Worksheets, and Ranges Handling Data in Cells: Input, Formatting, and Output Creating and Modifying Charts through VBA
- [Module 5: Data Cleaning and TransformationCopy](https://codecodence.com/lessons/module-5-data-cleaning-and-transformationcopy-3/) - Topics: Automating Data Preparation Tasks Importing and Exporting Data with VBA Techniques for Data Cleaning: Removing Duplicates, Handling Missing Values Using VBA to Transform Data for Analysis
- [Module 6: Advanced Data Manipulation TechniquesCopy](https://codecodence.com/lessons/module-6-advanced-data-manipulation-techniquescopy-3/) - Topics: Leveraging VBA for Complex Data Tasks Automating Data Filtering and Sorting Using Arrays and Collections for Efficient Data Management Creating Pivot Tables and Reports via VBA
- [Module 7: User-Defined Functions (UDFs) for Data AnalysisCopy](https://codecodence.com/lessons/module-7-user-defined-functions-udfs-for-data-analysiscopy-3/) - Topics: Creating Custom Functions Writing User-Defined Functions for Specific Analytical Needs Utilizing UDFs in Excel Formulas Practical Examples of UDFs for Data Science Applications
- [Module 8: Data Visualization and ReportingCopy](https://codecodence.com/lessons/module-8-data-visualization-and-reportingcopy-3/) - Topics: Enhancing Reporting with VBA Automating the Creation of Dashboards and Reports Formatting Charts and Tables Programmatically Exporting Reports to Different Formats (PDF, Word)
- [Module 1: Introduction to Artificial Neural NetworksCopy](https://codecodence.com/lessons/module-1-introduction-to-artificial-neural-networkscopy-4/) - Topics: What is Artificial Neural Network (ANN)? How Neural Networks Work? Perceptron Multilayer Perceptron Feedforward Backpropagation
- [Module 2: Introduction to Deep LearningCopy](https://codecodence.com/lessons/module-2-introduction-to-deep-learningcopy-4/) - Topics: What is Deep Learning? Deep Learning Packages Deep Learning Applications Building Deep Learning Environment Installing TensorFlow Locally Understanding Google Colab
- [Module 3: TensorFlow BasicsCopy](https://codecodence.com/lessons/module-3-tensorflow-basicscopy-4/) - Topics: What is TensorFlow? TensorFlow 1.x vs. TensorFlow 2.x Variables and Constants Scalars, Vectors, Matrices Operations Using TensorFlow Difference Between TensorFlow and NumPy Operations Computational Graph
- [Module 4: OptimizersCopy](https://codecodence.com/lessons/module-4-optimizerscopy-4/) - Topics: What Do Optimizers Do? Gradient Descent (Full Batch and Mini Batch) Stochastic Gradient Descent Learning Rate, Epoch
- [Module 5: Activation FunctionsCopy](https://codecodence.com/lessons/module-5-activation-functionscopy-4/) - Topics: What Do Activation Functions Do? Sigmoid Function Hyperbolic Tangent Function (Tanh) ReLU (Rectified Linear Unit) Softmax Function Vanishing Gradient Problem
- [Module 6: Building Artificial Neural NetworksCopy](https://codecodence.com/lessons/module-6-building-artificial-neural-networkscopy-4/) - Topics: Using Scikit-learn Implementation Using TensorFlow Understanding MNIST Dataset Initializing Weights and Biases Gradient Tape Defining Loss/Cost Function Training the Neural Network Minimizing Loss by Adjusting Weights and Biases
- [Module 7: Modern Deep Learning Optimizers and RegularizationCopy](https://codecodence.com/lessons/module-7-modern-deep-learning-optimizers-and-regularizationcopy-4/) - Topics: SGD with Momentum RMSprop AdaGrad Adam Dropout Layers and Regularization Batch Normalization
- [Module 8: Building Deep Neural Networks Using KerasCopy](https://codecodence.com/lessons/module-8-building-deep-neural-networks-using-kerascopy-4/) - Topics: What is Keras? Keras Fundamentals for Deep Learning Keras Sequential Model and Functional API Solve a Linear Regression and Classification Problem with Example Saving and Loading a Keras Model
- [Module 9: Convolutional Neural Networks (CNNs)Copy](https://codecodence.com/lessons/module-9-convolutional-neural-networks-cnnscopy-4/) - Topics: Introduction to CNN CNN Architecture Convolutional Operations Pooling, Stride, and Padding Operations Data Augmentation Building, Training, and Evaluating First CNN Model Model Performance Optimization Autoencoders for CNN Transfer Learning and Object Detection Using Pre-trained CNN Models (LeNet,AlexNet, VGG16, ResNet50, YOLO Algorithm)
- [Module 10: Word EmbeddingCopy](https://codecodence.com/lessons/module-10-word-embeddingcopy-4/) - Topics: What is Word Embedding? Word2Vec Embedding (CBOW, Skipgram) Keras Embedding Layers Visualizing Word Embedding (Google Word2Vec, GloVe Embedding)
- [Module 11: Recurrent Neural Networks (RNNs)Copy](https://codecodence.com/lessons/module-11-recurrent-neural-networks-rnnscopy-4/) - Topics: Introduction to RNN RNN Architecture Implementing Basic RNN in TensorFlow Need for LSTM and GRU Deep RNN/LSTM/GRU Text Classification Using LSTM Prediction for Time Series Problem Seq-2-Seq ModelingEncoder-Decoder Model
- [Module 12: Generative Adversarial Networks (GANs)Copy](https://codecodence.com/lessons/module-12-generative-adversarial-networks-ganscopy-4/) - Topics: Introduction to GAN Generator Discriminator Types of GAN Implementing GAN Using Neural Network
- [Module 13: Speech Recognition APIsCopy](https://codecodence.com/lessons/module-13-speech-recognition-apiscopy-4/) - Topics: Text to Speech Speech to Text Automating Tasks Using Voice Voice Search on Web
- [Choose (Any 2)Copy](https://codecodence.com/lessons/choose-any-2copy-4/) - Topics: Stock Price Prediction Using LSTM Object Detection Attendance System Using Face Recognition Facial Expression and Age Prediction Neural Machine Translation Handwritten Digits & Letters Prediction Number Plate Recognition Gender Classification My Assistant for Desktop Cat vs. Dog Image Classification
- [Module 1: Excel Basics and CustomizationCopy](https://codecodence.com/lessons/module-1-excel-basics-and-customizationcopy-3/) - Topics: Overview of Excel Understanding the Excel Interface Customizing Common Options Absolute and Relative Cell References Protecting and Unprotecting Worksheets and Cells
- [Module 2: Advanced Functions and FormulasCopy](https://codecodence.com/lessons/module-2-advanced-functions-and-formulascopy-3/) - Topics: Conditional Expressions Writing IF Statements Using Logical Functions: AND, OR, NOT Lookup and Reference Functions VLOOKUP, HLOOKUP, MATCH, INDEX VLOOKUP with Exact and Approximate Matches Nested VLOOKUPs and Dynamic Ranges Data Consolidation using VLOOKUP
- [Module 3: Data Validation TechniquesCopy](https://codecodence.com/lessons/module-3-data-validation-techniquescopy-3/) - Topics: Validating Input Setting Valid Ranges for Cells Creating Lists of Valid Values Custom Validation with Formulas
- [Module 4: Data Organization and AnalysisCopy](https://codecodence.com/lessons/module-4-data-organization-and-analysiscopy-3/) - Topics: Sorting and Filtering Sorting Tables (Multiple-level and Custom Sorting) Filtering Data (AutoFilter and Advanced Filter) Advanced Data Analysis Techniques Using Subtotals and Multiple-level Subtotals Creating and Customizing Pivot Tables Using Pivot Tables for Data Consolidation Creating Pivot Charts
- [Module 5: Power Functions for Data AnalyticsCopy](https://codecodence.com/lessons/module-5-power-functions-for-data-analyticscopy-3/) - Topics: Statistical and Lookup Functions Math Function and Statistics function Applying Text Functions and Date Functions Using Database Functions for Data Management
- [Module 6: Data Visualization TechniquesCopy](https://codecodence.com/lessons/module-6-data-visualization-techniquescopy-3/) - Topics: Creating Charts Types of Charts: Bar, Line, Pie, and Combination Charts Formatting Charts for Presentation Using Secondary Axis in Charts Sharing Charts Dynamically with PowerPoint and MS Word
- [Module 7: Macros and AutomationCopy](https://codecodence.com/lessons/module-7-macros-and-automationcopy-3/) - Topics: Understanding Macros o Creating and Editing Macros Using Relative and Absolute References in Macros Automating Repetitive Tasks with Macros
- [Module 8: What-If Analysis ToolsCopy](https://codecodence.com/lessons/module-8-what-if-analysis-toolscopy-3/) - Topic: Exploring Analysis Features Goal Seek for Optimal Value Search Data Tables for Sensitivity Analysis Scenario Manager for Comparing Different Scenarios
- [Module 9: New Features and Enhancements in ExcelCopy](https://codecodence.com/lessons/module-9-new-features-and-enhancements-in-excelcopy-3/) - Topics: Leveraging New Functionalities Overview of Sparklines and Data Charts Understanding Other Recent Features and Their Applications
- [Module 1: Introduction to Machine LearningCopy](https://codecodence.com/lessons/module-1-introduction-to-machine-learningcopy-4/) - Topics: Introduction to Machine Learning Traditional vs. Machine Learning Programming Real-Life Examples Based on ML Steps of ML Programming Data Preprocessing Revised Terminology Related to ML
- [Module 2: Supervised LearningCopy](https://codecodence.com/lessons/module-2-supervised-learningcopy-4/) - Classification Regression KNN Classification Math Behind KNN KNN Implementation Understanding Hyperparameters Performance Metrics Regression Math Behind Regression Simple Linear Regression Multiple Linear Regression Polynomial Regression Boston Price Prediction Cost or Loss Functions Mean Absolute Error Mean Squared Error Root Mean Squared Error Least Square Error Regularization Logistic Regression for Classification Theory of Logistic Regression Binary
- [Module 3: Unsupervised LearningCopy](https://codecodence.com/lessons/module-3-unsupervised-learningcopy-4/) - Topics: Clustering K-Means Clustering Hierarchical Clustering Elbow Technique Silhouette Coefficient Dendrogram
- [Module 4: Support Vector Machines (SVM)Copy](https://codecodence.com/lessons/module-4-support-vector-machines-svmcopy-4/) - Topics: Theory of SVM SVM Implementation Kernel, Gamma, Alpha
- [Module 5: Decision Tree ClassificationCopy](https://codecodence.com/lessons/module-5-decision-tree-classificationcopy-4/) - Topics: Theory of Decision TreeNode Splitting Implementation with Iris Dataset Visualizing the Tree
- [Module 6: Ensemble LearningCopy](https://codecodence.com/lessons/module-6-ensemble-learningcopy-4/) - Topics: Random Forest Bagging and Boosting Voting Classifier
- [Module 7: Model Selection TechniquesCopy](https://codecodence.com/lessons/module-7-model-selection-techniquescopy-4/) - Topics: Cross Validation Grid and Random Search for Hyperparameter Tuning
- [Module 8: Recommendation SystemsCopy](https://codecodence.com/lessons/module-8-recommendation-systemscopy-4/) - Topics: Content-Based Technique Collaborative Filtering Technique Evaluating Similarity Based on Correlation Classification-Based Recommendations
- [Module 9: Text AnalysisCopy](https://codecodence.com/lessons/module-9-text-analysiscopy-4/) - Topics: Install NLTK Tokenizing Words Tokenizing Sentences Stop Words Customization Stemming and Lemmatization Feature Extraction Sentiment Analysis CountVectorizer TfidfVectorizer Naive Bayes Algorithms
- [Module 10: Dimensionality ReductionCopy](https://codecodence.com/lessons/module-10-dimensionality-reductioncopy-4/) - Topics: Principal Component Analysis (PCA)
- [Module 11: OpenCVCopy](https://codecodence.com/lessons/module-11-opencvcopy-4/) - Topics: Reading Images Understanding Grayscale Images Resizing Images Understanding Haar Classifiers Face and Eye Classification How to Use Webcam in OpenCV Building Image Dataset Capturing Video Face Classification in Video
- [Module 1: Introduction to StatisticsCopy](https://codecodence.com/lessons/module-1-introduction-to-statisticscopy-3/) - Topics: o Importance of Statistics in Data Analytics and Data Scienceo Overview of Descriptive vs. Inferential Statistics
- [Module 2: Understanding Population and SamplesCopy](https://codecodence.com/lessons/module-2-understanding-population-and-samplescopy-3/) - Topics: o Definitions: Population vs. Sampleo Sampling Techniques: Random Sampling Stratified Sampling Convenience Samplingo Sample Size Determination and Its Importance
- [Module 3: Measures of Central Tendency and DispersionCopy](https://codecodence.com/lessons/module-3-measures-of-central-tendency-and-dispersioncopy-3/) - Topics: Measures of Central Tendency: Arithmetic Mean: Calculation and Use Median: Significance in Data Analysis Mode: Applications in Categorical Data Measures of Dispersion: Range, Variance, and Standard Deviation Interquartile Range (IQR) and its Relevance in Outlier Detection
- [Module 4: Probability and Probability DistributionsCopy](https://codecodence.com/lessons/module-4-probability-and-probability-distributionscopy-3/) - Topics: Basics of Probability: Events and Their Types Conditional Probability and Bayes’ Theorem Common Probability Distributions: Normal Distribution: Properties and Applications Binomial Distribution: Understanding Success/Failure Experiments Poisson Distribution: Modeling Count Data Central Limit Theorem: Importance in Statistical Inference
- [Module 5: Hypothesis TestingCopy](https://codecodence.com/lessons/module-5-hypothesis-testingcopy-3/) - Topics: Understanding Null and Alternative Hypotheses Types of Errors: Type I and Type II Errors Common Tests: T-Test: One-sample, Independent, and Paired Z-Test: When to Use it ANOVA: Analysis of Variance for Comparing Means Chi-Square Test: For Categorical Data P-Values and Significance Levels: Interpretation in Data Analysis
- [Module 1: NumPy for Numerical ComputingCopy](https://codecodence.com/lessons/module-1-numpy-for-numerical-computingcopy-3/) - Topic: Introduction to NumPy: What is NumPy? Installing NumPy NumPy Arrays: Creating Arrays: 1D, 2D, 3D Array Indexing and Slicing Array Reshaping Numerical Operations: Element-wise Operations Mathematical Functions (sum, mean, median, standard deviation) Array Broadcasting Linear Algebra: Matrix Operations (dot product, transpose) Eigenvalues and Eigenvectors Random Number Generation: Creating Random Samples
- [Module 2: Pandas for Data ManipulationCopy](https://codecodence.com/lessons/module-2-pandas-for-data-manipulationcopy-3/) - Topics: Introduction to Pandas: What is Pandas? Installing Pandas Data Structures: Series: Creating, Indexing, and Slicing DataFrame: Creating from CSV, Excel, and other formats Data Manipulation: Data Cleaning: Handling Missing Values, Duplicates Filtering and Selecting Data Merging and Joining DataFrames Grouping and Aggregating Data Time Series Analysis: Working with DateTime Objects Resampling and Time Series
- [Module 3: Data Visualization with MatplotlibCopy](https://codecodence.com/lessons/module-3-data-visualization-with-matplotlibcopy-3/) - Topics: Introduction to Matplotlib: What is Matplotlib? Installing Matplotlib Basic Plotting: Creating Line Plots, Scatter Plots, Bar Charts Customizing Plots: Titles, Labels, Legends Advanced Plotting: Subplots and Axes Histograms, Box Plots, and Pie Charts Annotations and Text in Plots Saving and Displaying Figures: Saving Figures to Different Formats (PNG, PDF) Interactive Plotting with Jupyter Notebooks
- [Module 4:Data Visualization with SeabornCopy](https://codecodence.com/lessons/module-4data-visualization-with-seaborncopy-3/) - Topics: Introduction to Seaborn: What is Seaborn? Installing Seaborn Creating Statistical Plots: Visualizing Distributions: Histograms, KDE Plots Categorical Data Visualization: Box Plots, Violin Plot Pair Plots and Pairwise Relationships Advanced Visualization: Heatmaps and Correlation Matrices Facet Grids for Multivariate Analysis Styling and Aesthetics: Customizing Themes and Color Palettes Enhancing Plot Aesthetics for Presentations
- [Module 5: Practical Applications and Case StudiesCopy](https://codecodence.com/lessons/module-5-practical-applications-and-case-studiescopy-3/) - Topics: Integrating Libraries: Using NumPy with Pandas Visualization with Matplotlib and Seaborn Case Study 1: Data Cleaning and Analysis Real-world dataset: Data loading, cleaning, and exploration Visualizing insights with Matplotlib and Seaborn Case Study 2: Exploratory Data Analysis (EDA) Performing EDA on a given dataset using all four libraries Presenting findings with visualizations
- [Module 1: SQL BasicsCopy](https://codecodence.com/lessons/module-1-sql-basicscopy-6/) - Topics: o Introduction to SQLo Importance of SQL in Data Analytics and Data Scienceo Overview of SQL Syntax
- [Module 2: DML, DDL & DQLCopy](https://codecodence.com/lessons/module-2-dml-ddl-dqlcopy-6/) - Topics: DDL (Data Definition Language): Create, Alter, Drop Creating Tables and Defining Data Types Altering Table Structure Dropping Tables DML (Data Manipulation Language): Insert, Update, Delete, Merge Bulk Insert Operations DQL (Data Query Language): Select Statements and Queries Filtering Data Using WHERE Clause
- [Module 3: SQL ConstraintsCopy](https://codecodence.com/lessons/module-3-sql-constraintscopy-6/) - Topics: o Not Null, Unique Constraintso Primary Key, Foreign Key, Composite Keyo Check Constraintso Default Values
- [Module 4: Querying DataCopy](https://codecodence.com/lessons/module-4-querying-datacopy-4/) - Topics: o Select Distincto SQL Operatorso SQL Likeo SQL Order Byo SQL Aliaseso SQL Views
- [Module 5: SQL JoinsCopy](https://codecodence.com/lessons/module-5-sql-joinscopy-6/) - Topics: o Inner Joino Left (Outer) Joino Right (Outer) Joino Full (Outer) Joino Cross Joino Self Joino Use Cases of Joins in Data Analytics
- [Module 6: SQL FunctionsCopy](https://codecodence.com/lessons/module-6-sql-functionscopy-6/) - Topics: String Functions: Char_Length Concat Lower, Upper Reverse Substring Trim Numeric Functions: Max, Min, Sum Avg, Count, Abs Round, Floor, Ceil Date Functions: Curdate, Curtime, Now Date Manipulation Functions (Date_Add, Date_Sub) Extracting Year, Month, Day from Dates
- [Module 7: Aggregate Functions and GroupingCopy](https://codecodence.com/lessons/module-7-aggregate-functions-and-groupingcopy-6/) - Topics: o Using Aggregate Functionso Group By Clauseo Having Clauseo Analyzing Data with Aggregate Functions
- [Module 8: Subqueries and Nested QueriesCopy](https://codecodence.com/lessons/module-8-subqueries-and-nested-queriescopy-6/) - Topics: o Introduction to Subquerieso Correlated vs. Non-correlated Subquerieso Using Subqueries in Select, Insert, Update, and Delete Statements
- [Module 9: Window FunctionsCopy](https://codecodence.com/lessons/module-9-window-functionscopy-6/) - Topics: o Introduction to Window Functionso Using ROW_NUMBER(), RANK(), DENSE_RANK()o Window Aggregates (SUM() OVER(), AVG() OVER())o Use Cases for Window Functions in Data Analysis
- [Module 10: Indexing and Performance OptimizationCopy](https://codecodence.com/lessons/module-10-indexing-and-performance-optimizationcopy-6/) - Topics: o Importance of Indexing in SQLo Types of Indexes (Unique, Composite)o Analyzing Query Performanceo Using EXPLAIN to Understand Query Execution Plans
- [Module 11: Data Warehousing ConceptsCopy](https://codecodence.com/lessons/module-11-data-warehousing-conceptscopy-6/) - Topics: o Introduction to Data Warehousingo ETL Processes (Extract, Transform, Load)o Star Schema and Snowflake Schemao Data Marts and Their Importance
- [Module 1: Introduction to PythonCopy](https://codecodence.com/lessons/module-1-introduction-to-pythoncopy-5/) - Topics: o Why Python o Application Areas of Python o Python Implementations (Cpython, Jython, IronPython, PyPy) o Python Versions o Installing Python o Python Interpreter Architecture o Python Byte Code Compiler o Python Virtual Machine (PVM)
- [Module 2: Writing and Executing Your First Python ProgramCopy](https://codecodence.com/lessons/module-2-writing-and-executing-your-first-python-programcopy-5/) - Topics: o Using Interactive Mode o Using Script Mode o General Text Editor and Command Window o IDLE Editor and IDLE Shell o Understanding the print() function o How to compile a Python program explicitly
- [Module 3: Python Language FundamentalsCopy](https://codecodence.com/lessons/module-3-python-language-fundamentalscopy-5/) - Topics: o Character Set o Keywords o Comments o Variables o Literals o Operators o Reading input from console o Parsing strings to int, float
- [Module 5: Python Conditional StatementsCopy](https://codecodence.com/lessons/module-5-python-conditional-statementscopy-5/) - Topics: o If Statement o If-Else Statement o If-Elif Statement o If-Elif-Else Statement o Nested If Statement o Ternary Operator o Match Case Statements
- [Module 6: Looping StatementsCopy](https://codecodence.com/lessons/module-6-looping-statementscopy-5/) - Topics: o While Loop o For Loop o Nested Loops o Pass, Break, and Continue keywords
- [Module 4: Standard Data TypesCopy](https://codecodence.com/lessons/module-4-standard-data-typescopy-5/) - Topics: o int, float, complex o bool, NoneType o str, list, tuple o dict, set, frozenset
- [Module 7: String HandlingCopy](https://codecodence.com/lessons/module-7-string-handlingcopy-5/) - Topics: o What is a stringo String representationso Unicode Stringo String Functions, Methodso String Repetition and Concatenationo String Indexing and Slicingo String Formatting
- [Module 8: Python ListCopy](https://codecodence.com/lessons/module-8-python-listcopy-5/) - Topics: o Creating and Accessing Lists o Indexing and Slicing Lists o List Methods o Nested Lists o List Comprehension
- [Module 10: Python SetCopy](https://codecodence.com/lessons/module-10-python-setcopy-4/) - Topics: o How to create a set o Iteration Over Sets o Python Set Methods o Python Frozenset
- [Module 9: Python TupleCopy](https://codecodence.com/lessons/module-9-python-tuplecopy-5/) - Topics: o Creating Tuple o Accessing Tuple o Immutability of Tuple
- [Module 11: Python DictionaryCopy](https://codecodence.com/lessons/module-11-python-dictionarycopy-5/) - Topics: o Creating a Dictionary o Dictionary Methods o Accessing values from Dictionary o Updating Dictionary o Iterating Dictionary o Dictionary Comprehension
- [Module 12: Python FunctionsCopy](https://codecodence.com/lessons/module-12-python-functionscopy-5/) - Topics: o Defining a Function o Calling a Function o Types of Functions o Function vs. Method o Function Arguments o Positional Arguments, Keyword Arguments o Default Arguments, Non-default Arguments o Arbitrary Arguments, Keyword Arbitrary Arguments o Function Return Statement o Nested Function o Function as Argument o Function as Return Statement o Decorator Function
- [Module 13: Modules & PackagesCopy](https://codecodence.com/lessons/module-13-modules-packagescopy-5/) - Topics: o Why Modules o Script vs. Module o Importing Module o Standard & Third Party Modules o Why Packages o Understanding pip Utility
- [Module 14: File I/OCopy](https://codecodence.com/lessons/module-14-file-i-ocopy-5/) - Topics: o Introduction to File Handling o File Modes o Functions and Methods Related to File Handling o Understanding with Block
- [Module 15: Object Oriented ProgrammingCopy](https://codecodence.com/lessons/module-15-object-oriented-programmingcopy-5/) - Topics: o Procedural vs. Object Oriented Programming o OOP Principles o Defining a Class & Object Creation o Inheritance o Encapsulation o Polymorphism o Abstraction o Garbage Collection o Iterator & Generator
- [Module 16: Exception HandlingCopy](https://codecodence.com/lessons/module-16-exception-handlingcopy-5/) - Topics: o Difference Between Syntax Errors and Exceptions o Keywords Used in Exception Handling o try, except, finally, raise, assert o Types of Except Blocks o User-defined Exceptions
- [Module 17: Regular Expressions (Regex)Copy](https://codecodence.com/lessons/module-17-regular-expressions-regexcopy-5/) - Topics: o Need for Regular Expressions o re Module o Functions/Methods Related to Regex o Meta Characters & Special Sequences
- [Module 1: Introduction to Power BICopy](https://codecodence.com/lessons/module-1-introduction-to-power-bicopy-2/) - Topics: Introduction to Business Intelligence (BI) and Various BI Tools Overview of Power BI and Its Components Installing Power BI Desktop
- [Module 2: Data VisualizationCopy](https://codecodence.com/lessons/module-2-data-visualizationcopy-2/) - Topics: Understanding Power View and Power Map Visualization Techniques and Formatting Creating Various Charts: Column, Pie, Donut, Scatter, Funnel Charts Geographical Data Visualization Using Maps Implementing Drill Down and Drill Through Utilizing Bookmarks and Selection Pane Comparing Volume and Value-Based Analytics Using Filter Pane and Slicers Implementing Hierarchies in Drill Down Analysis Syncing Slicers and
- [Module 3: Power BI Service, Publishing & SharingCopy](https://codecodence.com/lessons/module-3-power-bi-service-publishing-sharingcopy-2/) - Topics: Introduction to Power BI Service and Workspaces Creating and Configuring Dashboards Understanding Dashboard Themes Differentiating Reports vs. Dashboards Sharing Reports and Dashboards
- [Module 4: Data TransformationCopy](https://codecodence.com/lessons/module-4-data-transformationcopy-2/) - Topics: Shaping Data Using Power Query Editor Formatting and Transforming Data Understanding Data Types and Best Practices Working with Parameters Merging and Appending Queries Grouping, Duplicating, and Referencing Tables Pivoting, Un-pivoting, and Custom Columns Replacing Data, Splitting Columns, and Moving Columns Promoting Rows as Column Headers
- [Module 5: Data Modeling & DAXCopy](https://codecodence.com/lessons/module-5-data-modeling-daxcopy-2/) - Topics: Understanding Relationships and Creating Relationships Cardinality and Cross Filter Direction Introduction to DAX and Its Syntax Using DAX Functions for Calculated Columns, Measures, and Tables Learning Table, Information, Logical, Text, Iterator, and Time Intelligence Functions (YTD, QTD, MTD) Cumulative Values, Calculated Tables, and Ranking
- [Module 1: Tableau OverviewCopy](https://codecodence.com/lessons/module-1-tableau-overviewcopy-2/) - Topics: Introduction to Tableau Environment Setup Getting Started with Tableau Navigation and Design Flow Understanding File Types and Data Types Utilizing "Show Me" Feature Data Terminology in Tableau
- [Module 2: Data SourcesCopy](https://codecodence.com/lessons/module-2-data-sourcescopy-2/) - Topics: Custom Data Views Connecting to Data Sources Extracting Data Field Operations Editing Metadata Data Joining and Blending
- [Module 3: WorksheetsCopy](https://codecodence.com/lessons/module-3-worksheetscopy-2/) - Topics: Adding and Renaming Worksheets Saving and Deleting Worksheets Reordering Worksheets Creating Paged Workbooks
- [Module 4: CalculationsCopy](https://codecodence.com/lessons/module-4-calculationscopy-2/) - Topics: Operators and Functions Numeric, String, and Date Calculations Table Calculations Level of Detail (LOD) Expressions
- [Module 5: Sorting & FilteringCopy](https://codecodence.com/lessons/module-5-sorting-filteringcopy-2/) - Topics: Basic Sorting and Filtering Quick, Context, Condition, and Top Filters Filter Operations
- [Module 6: Data VisualizationCopy](https://codecodence.com/lessons/module-6-data-visualizationcopy-2/) - Topics: Creating Various Chart Types: Bar, Line, Pie, and Crosstab Charts Scatter, Bubble, Bullet, Box, Tree Map, Bump, Gantt, Histogram, Waterfall, and Motion Charts Building Dashboards
- [Module 7: ProjectsCopy](https://codecodence.com/lessons/module-7-projectscopy-2/) - Topics: Create one project using Python & SQL Design one interactive dashboard using Tableau
- [Module 1: Introduction to VBACopy](https://codecodence.com/lessons/module-1-introduction-to-vbacopy-2/) - Topics: Overview of VBA Importance of VBA in Data Analytics and Data Science Understanding the VBA Environment in Excel Navigating the VBA Editor
- [Module 2: Automating Data Tasks with MacrosCopy](https://codecodence.com/lessons/module-2-automating-data-tasks-with-macroscopy-2/) - Topics: Recording and Editing Macros How to Record Macros for Data Automation Editing and Improving Recorded Macros Best Practices for Macro Recording in Data Workflows
- [Module 3: Fundamental VBA Programming ConceptsCopy](https://codecodence.com/lessons/module-3-fundamental-vba-programming-conceptscopy-2/) - Topics: Basic Programming in VBA Variables, Data Types, and Constants Control Structures: If Statements, Loops (For, While) Writing Functions and Subroutines for Data Operations
- [Module 4: Working with Excel ObjectsCopy](https://codecodence.com/lessons/module-4-working-with-excel-objectscopy-2/) - Topics: Excel Object Model for Data Analysis Manipulating Workbooks, Worksheets, and Ranges Handling Data in Cells: Input, Formatting, and Output Creating and Modifying Charts through VBA
- [Module 5: Data Cleaning and TransformationCopy](https://codecodence.com/lessons/module-5-data-cleaning-and-transformationcopy-2/) - Topics: Automating Data Preparation Tasks Importing and Exporting Data with VBA Techniques for Data Cleaning: Removing Duplicates, Handling Missing Values Using VBA to Transform Data for Analysis
- [Module 6: Advanced Data Manipulation TechniquesCopy](https://codecodence.com/lessons/module-6-advanced-data-manipulation-techniquescopy-2/) - Topics: Leveraging VBA for Complex Data Tasks Automating Data Filtering and Sorting Using Arrays and Collections for Efficient Data Management Creating Pivot Tables and Reports via VBA
- [Module 7: User-Defined Functions (UDFs) for Data AnalysisCopy](https://codecodence.com/lessons/module-7-user-defined-functions-udfs-for-data-analysiscopy-2/) - Topics: Creating Custom Functions Writing User-Defined Functions for Specific Analytical Needs Utilizing UDFs in Excel Formulas Practical Examples of UDFs for Data Science Applications
- [Module 8: Data Visualization and ReportingCopy](https://codecodence.com/lessons/module-8-data-visualization-and-reportingcopy-2/) - Topics: Enhancing Reporting with VBA Automating the Creation of Dashboards and Reports Formatting Charts and Tables Programmatically Exporting Reports to Different Formats (PDF, Word)
- [Module 1: Introduction to Artificial Neural NetworksCopy](https://codecodence.com/lessons/module-1-introduction-to-artificial-neural-networkscopy/) - Topics: What is Artificial Neural Network (ANN)? How Neural Networks Work? Perceptron Multilayer Perceptron Feedforward Backpropagation
- [Module 2: Introduction to Deep LearningCopy](https://codecodence.com/lessons/module-2-introduction-to-deep-learningcopy/) - Topics: What is Deep Learning? Deep Learning Packages Deep Learning Applications Building Deep Learning Environment Installing TensorFlow Locally Understanding Google Colab
- [Module 3: TensorFlow BasicsCopy](https://codecodence.com/lessons/module-3-tensorflow-basicscopy/) - Topics: What is TensorFlow? TensorFlow 1.x vs. TensorFlow 2.x Variables and Constants Scalars, Vectors, Matrices Operations Using TensorFlow Difference Between TensorFlow and NumPy Operations Computational Graph
- [Module 4: OptimizersCopy](https://codecodence.com/lessons/module-4-optimizerscopy/) - Topics: What Do Optimizers Do? Gradient Descent (Full Batch and Mini Batch) Stochastic Gradient Descent Learning Rate, Epoch
- [Module 5: Activation FunctionsCopy](https://codecodence.com/lessons/module-5-activation-functionscopy/) - Topics: What Do Activation Functions Do? Sigmoid Function Hyperbolic Tangent Function (Tanh) ReLU (Rectified Linear Unit) Softmax Function Vanishing Gradient Problem
- [Module 6: Building Artificial Neural NetworksCopy](https://codecodence.com/lessons/module-6-building-artificial-neural-networkscopy/) - Topics: Using Scikit-learn Implementation Using TensorFlow Understanding MNIST Dataset Initializing Weights and Biases Gradient Tape Defining Loss/Cost Function Training the Neural Network Minimizing Loss by Adjusting Weights and Biases
- [Module 7: Modern Deep Learning Optimizers and RegularizationCopy](https://codecodence.com/lessons/module-7-modern-deep-learning-optimizers-and-regularizationcopy/) - Topics: SGD with Momentum RMSprop AdaGrad Adam Dropout Layers and Regularization Batch Normalization
- [Module 8: Building Deep Neural Networks Using KerasCopy](https://codecodence.com/lessons/module-8-building-deep-neural-networks-using-kerascopy/) - Topics: What is Keras? Keras Fundamentals for Deep Learning Keras Sequential Model and Functional API Solve a Linear Regression and Classification Problem with Example Saving and Loading a Keras Model
- [Module 9: Convolutional Neural Networks (CNNs)Copy](https://codecodence.com/lessons/module-9-convolutional-neural-networks-cnnscopy/) - Topics: Introduction to CNN CNN Architecture Convolutional Operations Pooling, Stride, and Padding Operations Data Augmentation Building, Training, and Evaluating First CNN Model Model Performance Optimization Autoencoders for CNN Transfer Learning and Object Detection Using Pre-trained CNN Models (LeNet,AlexNet, VGG16, ResNet50, YOLO Algorithm)
- [Module 10: Word EmbeddingCopy](https://codecodence.com/lessons/module-10-word-embeddingcopy/) - Topics: What is Word Embedding? Word2Vec Embedding (CBOW, Skipgram) Keras Embedding Layers Visualizing Word Embedding (Google Word2Vec, GloVe Embedding)
- [Module 11: Recurrent Neural Networks (RNNs)Copy](https://codecodence.com/lessons/module-11-recurrent-neural-networks-rnnscopy/) - Topics: Introduction to RNN RNN Architecture Implementing Basic RNN in TensorFlow Need for LSTM and GRU Deep RNN/LSTM/GRU Text Classification Using LSTM Prediction for Time Series Problem Seq-2-Seq ModelingEncoder-Decoder Model
- [Module 12: Generative Adversarial Networks (GANs)Copy](https://codecodence.com/lessons/module-12-generative-adversarial-networks-ganscopy/) - Topics: Introduction to GAN Generator Discriminator Types of GAN Implementing GAN Using Neural Network
- [Module 13: Speech Recognition APIsCopy](https://codecodence.com/lessons/module-13-speech-recognition-apiscopy/) - Topics: Text to Speech Speech to Text Automating Tasks Using Voice Voice Search on Web
- [Choose (Any 2)Copy](https://codecodence.com/lessons/choose-any-2copy/) - Topics: Stock Price Prediction Using LSTM Object Detection Attendance System Using Face Recognition Facial Expression and Age Prediction Neural Machine Translation Handwritten Digits & Letters Prediction Number Plate Recognition Gender Classification My Assistant for Desktop Cat vs. Dog Image Classification
- [Module 1: Excel Basics and CustomizationCopy](https://codecodence.com/lessons/module-1-excel-basics-and-customizationcopy-2/) - Topics: Overview of Excel Understanding the Excel Interface Customizing Common Options Absolute and Relative Cell References Protecting and Unprotecting Worksheets and Cells
- [Module 2: Advanced Functions and FormulasCopy](https://codecodence.com/lessons/module-2-advanced-functions-and-formulascopy-2/) - Topics: Conditional Expressions Writing IF Statements Using Logical Functions: AND, OR, NOT Lookup and Reference Functions VLOOKUP, HLOOKUP, MATCH, INDEX VLOOKUP with Exact and Approximate Matches Nested VLOOKUPs and Dynamic Ranges Data Consolidation using VLOOKUP
- [Module 3: Data Validation TechniquesCopy](https://codecodence.com/lessons/module-3-data-validation-techniquescopy-2/) - Topics: Validating Input Setting Valid Ranges for Cells Creating Lists of Valid Values Custom Validation with Formulas
- [Module 4: Data Organization and AnalysisCopy](https://codecodence.com/lessons/module-4-data-organization-and-analysiscopy-2/) - Topics: Sorting and Filtering Sorting Tables (Multiple-level and Custom Sorting) Filtering Data (AutoFilter and Advanced Filter) Advanced Data Analysis Techniques Using Subtotals and Multiple-level Subtotals Creating and Customizing Pivot Tables Using Pivot Tables for Data Consolidation Creating Pivot Charts
- [Module 5: Power Functions for Data AnalyticsCopy](https://codecodence.com/lessons/module-5-power-functions-for-data-analyticscopy-2/) - Topics: Statistical and Lookup Functions Math Function and Statistics function Applying Text Functions and Date Functions Using Database Functions for Data Management
- [Module 6: Data Visualization TechniquesCopy](https://codecodence.com/lessons/module-6-data-visualization-techniquescopy-2/) - Topics: Creating Charts Types of Charts: Bar, Line, Pie, and Combination Charts Formatting Charts for Presentation Using Secondary Axis in Charts Sharing Charts Dynamically with PowerPoint and MS Word
- [Module 7: Macros and AutomationCopy](https://codecodence.com/lessons/module-7-macros-and-automationcopy-2/) - Topics: Understanding Macros o Creating and Editing Macros Using Relative and Absolute References in Macros Automating Repetitive Tasks with Macros
- [Module 8: What-If Analysis ToolsCopy](https://codecodence.com/lessons/module-8-what-if-analysis-toolscopy-2/) - Topic: Exploring Analysis Features Goal Seek for Optimal Value Search Data Tables for Sensitivity Analysis Scenario Manager for Comparing Different Scenarios
- [Module 9: New Features and Enhancements in ExcelCopy](https://codecodence.com/lessons/module-9-new-features-and-enhancements-in-excelcopy-2/) - Topics: Leveraging New Functionalities Overview of Sparklines and Data Charts Understanding Other Recent Features and Their Applications
- [Module 1: Introduction to Machine LearningCopy](https://codecodence.com/lessons/module-1-introduction-to-machine-learningcopy/) - Topics: Introduction to Machine Learning Traditional vs. Machine Learning Programming Real-Life Examples Based on ML Steps of ML Programming Data Preprocessing Revised Terminology Related to ML
- [Module 2: Supervised LearningCopy](https://codecodence.com/lessons/module-2-supervised-learningcopy/) - Classification Regression KNN Classification Math Behind KNN KNN Implementation Understanding Hyperparameters Performance Metrics Regression Math Behind Regression Simple Linear Regression Multiple Linear Regression Polynomial Regression Boston Price Prediction Cost or Loss Functions Mean Absolute Error Mean Squared Error Root Mean Squared Error Least Square Error Regularization Logistic Regression for Classification Theory of Logistic Regression Binary
- [Module 3: Unsupervised LearningCopy](https://codecodence.com/lessons/module-3-unsupervised-learningcopy/) - Topics: Clustering K-Means Clustering Hierarchical Clustering Elbow Technique Silhouette Coefficient Dendrogram
- [Module 4: Support Vector Machines (SVM)Copy](https://codecodence.com/lessons/module-4-support-vector-machines-svmcopy/) - Topics: Theory of SVM SVM Implementation Kernel, Gamma, Alpha
- [Module 5: Decision Tree ClassificationCopy](https://codecodence.com/lessons/module-5-decision-tree-classificationcopy/) - Topics: Theory of Decision TreeNode Splitting Implementation with Iris Dataset Visualizing the Tree
- [Module 6: Ensemble LearningCopy](https://codecodence.com/lessons/module-6-ensemble-learningcopy/) - Topics: Random Forest Bagging and Boosting Voting Classifier
- [Module 7: Model Selection TechniquesCopy](https://codecodence.com/lessons/module-7-model-selection-techniquescopy/) - Topics: Cross Validation Grid and Random Search for Hyperparameter Tuning
- [Module 8: Recommendation SystemsCopy](https://codecodence.com/lessons/module-8-recommendation-systemscopy/) - Topics: Content-Based Technique Collaborative Filtering Technique Evaluating Similarity Based on Correlation Classification-Based Recommendations
- [Module 9: Text AnalysisCopy](https://codecodence.com/lessons/module-9-text-analysiscopy/) - Topics: Install NLTK Tokenizing Words Tokenizing Sentences Stop Words Customization Stemming and Lemmatization Feature Extraction Sentiment Analysis CountVectorizer TfidfVectorizer Naive Bayes Algorithms
- [Module 10: Dimensionality ReductionCopy](https://codecodence.com/lessons/module-10-dimensionality-reductioncopy/) - Topics: Principal Component Analysis (PCA)
- [Module 11: OpenCVCopy](https://codecodence.com/lessons/module-11-opencvcopy/) - Topics: Reading Images Understanding Grayscale Images Resizing Images Understanding Haar Classifiers Face and Eye Classification How to Use Webcam in OpenCV Building Image Dataset Capturing Video Face Classification in Video
- [Module 1: Introduction to StatisticsCopy](https://codecodence.com/lessons/module-1-introduction-to-statisticscopy-2/) - Topics: o Importance of Statistics in Data Analytics and Data Scienceo Overview of Descriptive vs. Inferential Statistics
- [Module 2: Understanding Population and SamplesCopy](https://codecodence.com/lessons/module-2-understanding-population-and-samplescopy-2/) - Topics: o Definitions: Population vs. Sampleo Sampling Techniques: Random Sampling Stratified Sampling Convenience Samplingo Sample Size Determination and Its Importance
- [Module 3: Measures of Central Tendency and DispersionCopy](https://codecodence.com/lessons/module-3-measures-of-central-tendency-and-dispersioncopy-2/) - Topics: Measures of Central Tendency: Arithmetic Mean: Calculation and Use Median: Significance in Data Analysis Mode: Applications in Categorical Data Measures of Dispersion: Range, Variance, and Standard Deviation Interquartile Range (IQR) and its Relevance in Outlier Detection
- [Module 4: Probability and Probability DistributionsCopy](https://codecodence.com/lessons/module-4-probability-and-probability-distributionscopy-2/) - Topics: Basics of Probability: Events and Their Types Conditional Probability and Bayes’ Theorem Common Probability Distributions: Normal Distribution: Properties and Applications Binomial Distribution: Understanding Success/Failure Experiments Poisson Distribution: Modeling Count Data Central Limit Theorem: Importance in Statistical Inference
- [Module 5: Hypothesis TestingCopy](https://codecodence.com/lessons/module-5-hypothesis-testingcopy-2/) - Topics: Understanding Null and Alternative Hypotheses Types of Errors: Type I and Type II Errors Common Tests: T-Test: One-sample, Independent, and Paired Z-Test: When to Use it ANOVA: Analysis of Variance for Comparing Means Chi-Square Test: For Categorical Data P-Values and Significance Levels: Interpretation in Data Analysis
- [Module 1: NumPy for Numerical ComputingCopy](https://codecodence.com/lessons/module-1-numpy-for-numerical-computingcopy-2/) - Topic: Introduction to NumPy: What is NumPy? Installing NumPy NumPy Arrays: Creating Arrays: 1D, 2D, 3D Array Indexing and Slicing Array Reshaping Numerical Operations: Element-wise Operations Mathematical Functions (sum, mean, median, standard deviation) Array Broadcasting Linear Algebra: Matrix Operations (dot product, transpose) Eigenvalues and Eigenvectors Random Number Generation: Creating Random Samples
- [Module 2: Pandas for Data ManipulationCopy](https://codecodence.com/lessons/module-2-pandas-for-data-manipulationcopy-2/) - Topics: Introduction to Pandas: What is Pandas? Installing Pandas Data Structures: Series: Creating, Indexing, and Slicing DataFrame: Creating from CSV, Excel, and other formats Data Manipulation: Data Cleaning: Handling Missing Values, Duplicates Filtering and Selecting Data Merging and Joining DataFrames Grouping and Aggregating Data Time Series Analysis: Working with DateTime Objects Resampling and Time Series
- [Module 3: Data Visualization with MatplotlibCopy](https://codecodence.com/lessons/module-3-data-visualization-with-matplotlibcopy-2/) - Topics: Introduction to Matplotlib: What is Matplotlib? Installing Matplotlib Basic Plotting: Creating Line Plots, Scatter Plots, Bar Charts Customizing Plots: Titles, Labels, Legends Advanced Plotting: Subplots and Axes Histograms, Box Plots, and Pie Charts Annotations and Text in Plots Saving and Displaying Figures: Saving Figures to Different Formats (PNG, PDF) Interactive Plotting with Jupyter Notebooks
- [Module 4:Data Visualization with SeabornCopy](https://codecodence.com/lessons/module-4data-visualization-with-seaborncopy-2/) - Topics: Introduction to Seaborn: What is Seaborn? Installing Seaborn Creating Statistical Plots: Visualizing Distributions: Histograms, KDE Plots Categorical Data Visualization: Box Plots, Violin Plot Pair Plots and Pairwise Relationships Advanced Visualization: Heatmaps and Correlation Matrices Facet Grids for Multivariate Analysis Styling and Aesthetics: Customizing Themes and Color Palettes Enhancing Plot Aesthetics for Presentations
- [Module 5: Practical Applications and Case StudiesCopy](https://codecodence.com/lessons/module-5-practical-applications-and-case-studiescopy-2/) - Topics: Integrating Libraries: Using NumPy with Pandas Visualization with Matplotlib and Seaborn Case Study 1: Data Cleaning and Analysis Real-world dataset: Data loading, cleaning, and exploration Visualizing insights with Matplotlib and Seaborn Case Study 2: Exploratory Data Analysis (EDA) Performing EDA on a given dataset using all four libraries Presenting findings with visualizations
- [Module 1: SQL BasicsCopy](https://codecodence.com/lessons/module-1-sql-basicscopy-2/) - Topics: o Introduction to SQLo Importance of SQL in Data Analytics and Data Scienceo Overview of SQL Syntax
- [Module 2: DML, DDL & DQLCopy](https://codecodence.com/lessons/module-2-dml-ddl-dqlcopy-2/) - Topics: DDL (Data Definition Language): Create, Alter, Drop Creating Tables and Defining Data Types Altering Table Structure Dropping Tables DML (Data Manipulation Language): Insert, Update, Delete, Merge Bulk Insert Operations DQL (Data Query Language): Select Statements and Queries Filtering Data Using WHERE Clause
- [Module 3: SQL ConstraintsCopy](https://codecodence.com/lessons/module-3-sql-constraintscopy-2/) - Topics: o Not Null, Unique Constraintso Primary Key, Foreign Key, Composite Keyo Check Constraintso Default Values
- [Module 4: Querying DataCopy](https://codecodence.com/lessons/module-4-querying-datacopy-3/) - Topics: o Select Distincto SQL Operatorso SQL Likeo SQL Order Byo SQL Aliaseso SQL Views
- [Module 5: SQL JoinsCopy](https://codecodence.com/lessons/module-5-sql-joinscopy-2/) - Topics: o Inner Joino Left (Outer) Joino Right (Outer) Joino Full (Outer) Joino Cross Joino Self Joino Use Cases of Joins in Data Analytics
- [Module 6: SQL FunctionsCopy](https://codecodence.com/lessons/module-6-sql-functionscopy-2/) - Topics: String Functions: Char_Length Concat Lower, Upper Reverse Substring Trim Numeric Functions: Max, Min, Sum Avg, Count, Abs Round, Floor, Ceil Date Functions: Curdate, Curtime, Now Date Manipulation Functions (Date_Add, Date_Sub) Extracting Year, Month, Day from Dates
- [Module 7: Aggregate Functions and GroupingCopy](https://codecodence.com/lessons/module-7-aggregate-functions-and-groupingcopy-2/) - Topics: o Using Aggregate Functionso Group By Clauseo Having Clauseo Analyzing Data with Aggregate Functions
- [Module 8: Subqueries and Nested QueriesCopy](https://codecodence.com/lessons/module-8-subqueries-and-nested-queriescopy-2/) - Topics: o Introduction to Subquerieso Correlated vs. Non-correlated Subquerieso Using Subqueries in Select, Insert, Update, and Delete Statements
- [Module 9: Window FunctionsCopy](https://codecodence.com/lessons/module-9-window-functionscopy-2/) - Topics: o Introduction to Window Functionso Using ROW_NUMBER(), RANK(), DENSE_RANK()o Window Aggregates (SUM() OVER(), AVG() OVER())o Use Cases for Window Functions in Data Analysis
- [Module 10: Indexing and Performance OptimizationCopy](https://codecodence.com/lessons/module-10-indexing-and-performance-optimizationcopy-2/) - Topics: o Importance of Indexing in SQLo Types of Indexes (Unique, Composite)o Analyzing Query Performanceo Using EXPLAIN to Understand Query Execution Plans
- [Module 11: Data Warehousing ConceptsCopy](https://codecodence.com/lessons/module-11-data-warehousing-conceptscopy-2/) - Topics: o Introduction to Data Warehousingo ETL Processes (Extract, Transform, Load)o Star Schema and Snowflake Schemao Data Marts and Their Importance
- [Module 1: Introduction to PythonCopy](https://codecodence.com/lessons/module-1-introduction-to-pythoncopy-3/) - Topics: o Why Python o Application Areas of Python o Python Implementations (Cpython, Jython, IronPython, PyPy) o Python Versions o Installing Python o Python Interpreter Architecture o Python Byte Code Compiler o Python Virtual Machine (PVM)
- [Module 2: Writing and Executing Your First Python ProgramCopy](https://codecodence.com/lessons/module-2-writing-and-executing-your-first-python-programcopy-3/) - Topics: o Using Interactive Mode o Using Script Mode o General Text Editor and Command Window o IDLE Editor and IDLE Shell o Understanding the print() function o How to compile a Python program explicitly
- [Module 3: Python Language FundamentalsCopy](https://codecodence.com/lessons/module-3-python-language-fundamentalscopy-3/) - Topics: o Character Set o Keywords o Comments o Variables o Literals o Operators o Reading input from console o Parsing strings to int, float
- [Module 5: Python Conditional StatementsCopy](https://codecodence.com/lessons/module-5-python-conditional-statementscopy-3/) - Topics: o If Statement o If-Else Statement o If-Elif Statement o If-Elif-Else Statement o Nested If Statement o Ternary Operator o Match Case Statements
- [Module 6: Looping StatementsCopy](https://codecodence.com/lessons/module-6-looping-statementscopy-3/) - Topics: o While Loop o For Loop o Nested Loops o Pass, Break, and Continue keywords
- [Module 4: Standard Data TypesCopy](https://codecodence.com/lessons/module-4-standard-data-typescopy-3/) - Topics: o int, float, complex o bool, NoneType o str, list, tuple o dict, set, frozenset
- [Module 7: String HandlingCopy](https://codecodence.com/lessons/module-7-string-handlingcopy-3/) - Topics: o What is a stringo String representationso Unicode Stringo String Functions, Methodso String Repetition and Concatenationo String Indexing and Slicingo String Formatting
- [Module 8: Python ListCopy](https://codecodence.com/lessons/module-8-python-listcopy-3/) - Topics: o Creating and Accessing Lists o Indexing and Slicing Lists o List Methods o Nested Lists o List Comprehension
- [Module 10: Python SetCopy](https://codecodence.com/lessons/module-10-python-setcopy-3/) - Topics: o How to create a set o Iteration Over Sets o Python Set Methods o Python Frozenset
- [Module 9: Python TupleCopy](https://codecodence.com/lessons/module-9-python-tuplecopy-3/) - Topics: o Creating Tuple o Accessing Tuple o Immutability of Tuple
- [Module 11: Python DictionaryCopy](https://codecodence.com/lessons/module-11-python-dictionarycopy-3/) - Topics: o Creating a Dictionary o Dictionary Methods o Accessing values from Dictionary o Updating Dictionary o Iterating Dictionary o Dictionary Comprehension
- [Module 12: Python FunctionsCopy](https://codecodence.com/lessons/module-12-python-functionscopy-3/) - Topics: o Defining a Function o Calling a Function o Types of Functions o Function vs. Method o Function Arguments o Positional Arguments, Keyword Arguments o Default Arguments, Non-default Arguments o Arbitrary Arguments, Keyword Arbitrary Arguments o Function Return Statement o Nested Function o Function as Argument o Function as Return Statement o Decorator Function
- [Module 13: Modules & PackagesCopy](https://codecodence.com/lessons/module-13-modules-packagescopy-3/) - Topics: o Why Modules o Script vs. Module o Importing Module o Standard & Third Party Modules o Why Packages o Understanding pip Utility
- [Module 14: File I/OCopy](https://codecodence.com/lessons/module-14-file-i-ocopy-3/) - Topics: o Introduction to File Handling o File Modes o Functions and Methods Related to File Handling o Understanding with Block
- [Module 15: Object Oriented ProgrammingCopy](https://codecodence.com/lessons/module-15-object-oriented-programmingcopy-3/) - Topics: o Procedural vs. Object Oriented Programming o OOP Principles o Defining a Class & Object Creation o Inheritance o Encapsulation o Polymorphism o Abstraction o Garbage Collection o Iterator & Generator
- [Module 16: Exception HandlingCopy](https://codecodence.com/lessons/module-16-exception-handlingcopy-3/) - Topics: o Difference Between Syntax Errors and Exceptions o Keywords Used in Exception Handling o try, except, finally, raise, assert o Types of Except Blocks o User-defined Exceptions
- [Module 17: Regular Expressions (Regex)Copy](https://codecodence.com/lessons/module-17-regular-expressions-regexcopy-3/) - Topics: o Need for Regular Expressions o re Module o Functions/Methods Related to Regex o Meta Characters & Special Sequences
- [Choose (Any 2)](https://codecodence.com/lessons/choose-any-2copy-3/) - Topics: Stock Price Prediction Using LSTM Object Detection Attendance System Using Face Recognition Facial Expression and Age Prediction Neural Machine Translation Handwritten Digits & Letters Prediction Number Plate Recognition Gender Classification My Assistant for Desktop Cat vs. Dog Image Classification
- [Module 1: Introduction to Artificial Neural Networks](https://codecodence.com/lessons/module-1-introduction-to-artificial-neural-networkscopy-3/) - Topics: What is Artificial Neural Network (ANN)? How Neural Networks Work? Perceptron Multilayer Perceptron Feedforward Backpropagation
- [Module 2: Introduction to Deep Learning](https://codecodence.com/lessons/module-2-introduction-to-deep-learningcopy-3/) - Topics: What is Deep Learning? Deep Learning Packages Deep Learning Applications Building Deep Learning Environment Installing TensorFlow Locally Understanding Google Colab
- [Module 3: TensorFlow Basics](https://codecodence.com/lessons/module-3-tensorflow-basicscopy-3/) - Topics: What is TensorFlow? TensorFlow 1.x vs. TensorFlow 2.x Variables and Constants Scalars, Vectors, Matrices Operations Using TensorFlow Difference Between TensorFlow and NumPy Operations Computational Graph
- [Module 4: Optimizers](https://codecodence.com/lessons/module-4-optimizerscopy-3/) - Topics: What Do Optimizers Do? Gradient Descent (Full Batch and Mini Batch) Stochastic Gradient Descent Learning Rate, Epoch
- [Module 5: Activation Functions](https://codecodence.com/lessons/module-5-activation-functionscopy-3/) - Topics: What Do Activation Functions Do? Sigmoid Function Hyperbolic Tangent Function (Tanh) ReLU (Rectified Linear Unit) Softmax Function Vanishing Gradient Problem
- [Module 6: Building Artificial Neural Networks](https://codecodence.com/lessons/module-6-building-artificial-neural-networkscopy-3/) - Topics: Using Scikit-learn Implementation Using TensorFlow Understanding MNIST Dataset Initializing Weights and Biases Gradient Tape Defining Loss/Cost Function Training the Neural Network Minimizing Loss by Adjusting Weights and Biases
- [Module 7: Modern Deep Learning Optimizers and Regularization](https://codecodence.com/lessons/module-7-modern-deep-learning-optimizers-and-regularizationcopy-3/) - Topics: SGD with Momentum RMSprop AdaGrad Adam Dropout Layers and Regularization Batch Normalization
- [Module 8: Building Deep Neural Networks Using Keras](https://codecodence.com/lessons/module-8-building-deep-neural-networks-using-kerascopy-3/) - Topics: What is Keras? Keras Fundamentals for Deep Learning Keras Sequential Model and Functional API Solve a Linear Regression and Classification Problem with Example Saving and Loading a Keras Model
- [Module 9: Convolutional Neural Networks (CNNs)](https://codecodence.com/lessons/module-9-convolutional-neural-networks-cnnscopy-3/) - Topics: Introduction to CNN CNN Architecture Convolutional Operations Pooling, Stride, and Padding Operations Data Augmentation Building, Training, and Evaluating First CNN Model Model Performance Optimization Autoencoders for CNN Transfer Learning and Object Detection Using Pre-trained CNN Models (LeNet,AlexNet, VGG16, ResNet50, YOLO Algorithm)
- [Module 10: Word Embedding](https://codecodence.com/lessons/module-10-word-embeddingcopy-3/) - Topics: What is Word Embedding? Word2Vec Embedding (CBOW, Skipgram) Keras Embedding Layers Visualizing Word Embedding (Google Word2Vec, GloVe Embedding)
- [Module 11: Recurrent Neural Networks (RNNs)](https://codecodence.com/lessons/module-11-recurrent-neural-networks-rnnscopy-3/) - Topics: Introduction to RNN RNN Architecture Implementing Basic RNN in TensorFlow Need for LSTM and GRU Deep RNN/LSTM/GRU Text Classification Using LSTM Prediction for Time Series Problem Seq-2-Seq ModelingEncoder-Decoder Model
- [Module 12: Generative Adversarial Networks (GANs)](https://codecodence.com/lessons/module-12-generative-adversarial-networks-ganscopy-3/) - Topics: Introduction to GAN Generator Discriminator Types of GAN Implementing GAN Using Neural Network
- [Module 13: Speech Recognition APIs](https://codecodence.com/lessons/module-13-speech-recognition-apiscopy-3/) - Topics: Text to Speech Speech to Text Automating Tasks Using Voice Voice Search on Web
- [Module 1: Introduction to Machine Learning](https://codecodence.com/lessons/module-1-introduction-to-machine-learningcopy-3/) - Topics: Introduction to Machine Learning Traditional vs. Machine Learning Programming Real-Life Examples Based on ML Steps of ML Programming Data Preprocessing Revised Terminology Related to ML
- [Module 2: Supervised Learning](https://codecodence.com/lessons/module-2-supervised-learningcopy-3/) - Classification Regression KNN Classification Math Behind KNN KNN Implementation Understanding Hyperparameters Performance Metrics Regression Math Behind Regression Simple Linear Regression Multiple Linear Regression Polynomial Regression Boston Price Prediction Cost or Loss Functions Mean Absolute Error Mean Squared Error Root Mean Squared Error Least Square Error Regularization Logistic Regression for Classification Theory of Logistic Regression Binary
- [Module 3: Unsupervised Learning](https://codecodence.com/lessons/module-3-unsupervised-learningcopy-3/) - Topics: Clustering K-Means Clustering Hierarchical Clustering Elbow Technique Silhouette Coefficient Dendrogram
- [Module 4: Support Vector Machines (SVM)](https://codecodence.com/lessons/module-4-support-vector-machines-svmcopy-3/) - Topics: Theory of SVM SVM Implementation Kernel, Gamma, Alpha
- [Module 5: Decision Tree Classification](https://codecodence.com/lessons/module-5-decision-tree-classificationcopy-3/) - Topics: Theory of Decision TreeNode Splitting Implementation with Iris Dataset Visualizing the Tree
- [Module 6: Ensemble Learning](https://codecodence.com/lessons/module-6-ensemble-learningcopy-3/) - Topics: Random Forest Bagging and Boosting Voting Classifier
- [Module 7: Model Selection Techniques](https://codecodence.com/lessons/module-7-model-selection-techniquescopy-3/) - Topics: Cross Validation Grid and Random Search for Hyperparameter Tuning
- [Module 8: Recommendation Systems](https://codecodence.com/lessons/module-8-recommendation-systemscopy-3/) - Topics: Content-Based Technique Collaborative Filtering Technique Evaluating Similarity Based on Correlation Classification-Based Recommendations
- [Module 9: Text Analysis](https://codecodence.com/lessons/module-9-text-analysiscopy-3/) - Topics: Install NLTK Tokenizing Words Tokenizing Sentences Stop Words Customization Stemming and Lemmatization Feature Extraction Sentiment Analysis CountVectorizer TfidfVectorizer Naive Bayes Algorithms
- [Module 10: Dimensionality Reduction](https://codecodence.com/lessons/module-10-dimensionality-reductioncopy-3/) - Topics: Principal Component Analysis (PCA)
- [Module 11: OpenCV](https://codecodence.com/lessons/module-11-opencvcopy-3/) - Topics: Reading Images Understanding Grayscale Images Resizing Images Understanding Haar Classifiers Face and Eye Classification How to Use Webcam in OpenCV Building Image Dataset Capturing Video Face Classification in Video
- [Module 1: Excel Basics and Customization](https://codecodence.com/lessons/module-1-excel-basics-and-customizationcopy-9/) - Topics: Overview of Excel Understanding the Excel Interface Customizing Common Options Absolute and Relative Cell References Protecting and Unprotecting Worksheets and Cells
- [Module 2: Advanced Functions and Formulas](https://codecodence.com/lessons/module-2-advanced-functions-and-formulascopy-9/) - Topics: Conditional Expressions Writing IF Statements Using Logical Functions: AND, OR, NOT Lookup and Reference Functions VLOOKUP, HLOOKUP, MATCH, INDEX VLOOKUP with Exact and Approximate Matches Nested VLOOKUPs and Dynamic Ranges Data Consolidation using VLOOKUP
- [Module 3: Data Validation Techniques](https://codecodence.com/lessons/module-3-data-validation-techniquescopy-9/) - Topics: Validating Input Setting Valid Ranges for Cells Creating Lists of Valid Values Custom Validation with Formulas
- [Module 4: Data Organization and Analysis](https://codecodence.com/lessons/module-4-data-organization-and-analysiscopy-9/) - Topics: Sorting and Filtering Sorting Tables (Multiple-level and Custom Sorting) Filtering Data (AutoFilter and Advanced Filter) Advanced Data Analysis Techniques Using Subtotals and Multiple-level Subtotals Creating and Customizing Pivot Tables Using Pivot Tables for Data Consolidation Creating Pivot Charts
- [Module 5: Power Functions for Data Analytics](https://codecodence.com/lessons/module-5-power-functions-for-data-analyticscopy-9/) - Topics: Statistical and Lookup Functions Math Function and Statistics function Applying Text Functions and Date Functions Using Database Functions for Data Management
- [Module 6: Data Visualization Techniques](https://codecodence.com/lessons/module-6-data-visualization-techniquescopy-9/) - Topics: Creating Charts Types of Charts: Bar, Line, Pie, and Combination Charts Formatting Charts for Presentation Using Secondary Axis in Charts Sharing Charts Dynamically with PowerPoint and MS Word
- [Module 7: Macros and Automation](https://codecodence.com/lessons/module-7-macros-and-automationcopy-9/) - Topics: Understanding Macros o Creating and Editing Macros Using Relative and Absolute References in Macros Automating Repetitive Tasks with Macros
- [Module 8: What-If Analysis Tools](https://codecodence.com/lessons/module-8-what-if-analysis-toolscopy-9/) - Topic: Exploring Analysis Features Goal Seek for Optimal Value Search Data Tables for Sensitivity Analysis Scenario Manager for Comparing Different Scenarios
- [Module 9: New Features and Enhancements in Excel](https://codecodence.com/lessons/module-9-new-features-and-enhancements-in-excelcopy-9/) - Topics: Leveraging New Functionalities Overview of Sparklines and Data Charts Understanding Other Recent Features and Their Applications
- [Module 1: Tableau Overview](https://codecodence.com/lessons/module-1-tableau-overviewcopy-8/) - Topics: Introduction to Tableau Environment Setup Getting Started with Tableau Navigation and Design Flow Understanding File Types and Data Types Utilizing "Show Me" Feature Data Terminology in Tableau
- [Module 2: Data Sources](https://codecodence.com/lessons/module-2-data-sourcescopy-8/) - Topics: Custom Data Views Connecting to Data Sources Extracting Data Field Operations Editing Metadata Data Joining and Blending
- [Module 3: Worksheets](https://codecodence.com/lessons/module-3-worksheetscopy-8/) - Topics: Adding and Renaming Worksheets Saving and Deleting Worksheets Reordering Worksheets Creating Paged Workbooks
- [Module 4: Calculations](https://codecodence.com/lessons/module-4-calculationscopy-8/) - Topics: Operators and Functions Numeric, String, and Date Calculations Table Calculations Level of Detail (LOD) Expressions
- [Module 5: Sorting & Filtering](https://codecodence.com/lessons/module-5-sorting-filteringcopy-8/) - Topics: Basic Sorting and Filtering Quick, Context, Condition, and Top Filters Filter Operations
- [Module 6: Data Visualization](https://codecodence.com/lessons/module-6-data-visualizationcopy-8/) - Topics: Creating Various Chart Types: Bar, Line, Pie, and Crosstab Charts Scatter, Bubble, Bullet, Box, Tree Map, Bump, Gantt, Histogram, Waterfall, and Motion Charts Building Dashboards
- [Module 7: Projects](https://codecodence.com/lessons/module-7-projectscopy-8/) - Topics: Create one project using Python & SQL Design one interactive dashboard using Tableau
- [Module 1: Introduction to Power BI](https://codecodence.com/lessons/module-1-introduction-to-power-bicopy-7/) - Topics: Introduction to Business Intelligence (BI) and Various BI Tools Overview of Power BI and Its Components Installing Power BI Desktop
- [Module 2: Data Visualization](https://codecodence.com/lessons/module-2-data-visualizationcopy-7/) - Topics: Understanding Power View and Power Map Visualization Techniques and Formatting Creating Various Charts: Column, Pie, Donut, Scatter, Funnel Charts Geographical Data Visualization Using Maps Implementing Drill Down and Drill Through Utilizing Bookmarks and Selection Pane Comparing Volume and Value-Based Analytics Using Filter Pane and Slicers Implementing Hierarchies in Drill Down Analysis Syncing Slicers and
- [Module 3: Power BI Service, Publishing & Sharing](https://codecodence.com/lessons/module-3-power-bi-service-publishing-sharingcopy-7/) - Topics: Introduction to Power BI Service and Workspaces Creating and Configuring Dashboards Understanding Dashboard Themes Differentiating Reports vs. Dashboards Sharing Reports and Dashboards
- [Module 4: Data Transformation](https://codecodence.com/lessons/module-4-data-transformationcopy-7/) - Topics: Shaping Data Using Power Query Editor Formatting and Transforming Data Understanding Data Types and Best Practices Working with Parameters Merging and Appending Queries Grouping, Duplicating, and Referencing Tables Pivoting, Un-pivoting, and Custom Columns Replacing Data, Splitting Columns, and Moving Columns Promoting Rows as Column Headers
- [Module 5: Data Modeling & DAX](https://codecodence.com/lessons/module-5-data-modeling-daxcopy-7/) - Topics: Understanding Relationships and Creating Relationships Cardinality and Cross Filter Direction Introduction to DAX and Its Syntax Using DAX Functions for Calculated Columns, Measures, and Tables Learning Table, Information, Logical, Text, Iterator, and Time Intelligence Functions (YTD, QTD, MTD) Cumulative Values, Calculated Tables, and Ranking
- [Module 1: Introduction to Power BI](https://codecodence.com/lessons/module-1-introduction-to-power-bicopy-5/) - Topics: Introduction to Business Intelligence (BI) and Various BI Tools Overview of Power BI and Its Components Installing Power BI Desktop
- [Module 2: Data Visualization](https://codecodence.com/lessons/module-2-data-visualizationcopy-5/) - Topics: Understanding Power View and Power Map Visualization Techniques and Formatting Creating Various Charts: Column, Pie, Donut, Scatter, Funnel Charts Geographical Data Visualization Using Maps Implementing Drill Down and Drill Through Utilizing Bookmarks and Selection Pane Comparing Volume and Value-Based Analytics Using Filter Pane and Slicers Implementing Hierarchies in Drill Down Analysis Syncing Slicers and
- [Module 3: Power BI Service, Publishing & Sharing](https://codecodence.com/lessons/module-3-power-bi-service-publishing-sharingcopy-5/) - Topics: Introduction to Power BI Service and Workspaces Creating and Configuring Dashboards Understanding Dashboard Themes Differentiating Reports vs. Dashboards Sharing Reports and Dashboards
- [Module 4: Data Transformation](https://codecodence.com/lessons/module-4-data-transformationcopy-5/) - Topics: Shaping Data Using Power Query Editor Formatting and Transforming Data Understanding Data Types and Best Practices Working with Parameters Merging and Appending Queries Grouping, Duplicating, and Referencing Tables Pivoting, Un-pivoting, and Custom Columns Replacing Data, Splitting Columns, and Moving Columns Promoting Rows as Column Headers
- [Module 5: Data Modeling & DAX](https://codecodence.com/lessons/module-5-data-modeling-daxcopy-5/) - Topics: Understanding Relationships and Creating Relationships Cardinality and Cross Filter Direction Introduction to DAX and Its Syntax Using DAX Functions for Calculated Columns, Measures, and Tables Learning Table, Information, Logical, Text, Iterator, and Time Intelligence Functions (YTD, QTD, MTD) Cumulative Values, Calculated Tables, and Ranking
- [Module 1: Tableau Overview](https://codecodence.com/lessons/module-1-tableau-overviewcopy-5/) - Topics: Introduction to Tableau Environment Setup Getting Started with Tableau Navigation and Design Flow Understanding File Types and Data Types Utilizing "Show Me" Feature Data Terminology in Tableau
- [Module 2: Data Sources](https://codecodence.com/lessons/module-2-data-sourcescopy-5/) - Topics: Custom Data Views Connecting to Data Sources Extracting Data Field Operations Editing Metadata Data Joining and Blending
- [Module 3: Worksheets](https://codecodence.com/lessons/module-3-worksheetscopy-5/) - Topics: Adding and Renaming Worksheets Saving and Deleting Worksheets Reordering Worksheets Creating Paged Workbooks
- [Module 4: Calculations](https://codecodence.com/lessons/module-4-calculationscopy-5/) - Topics: Operators and Functions Numeric, String, and Date Calculations Table Calculations Level of Detail (LOD) Expressions
- [Module 5: Sorting & Filtering](https://codecodence.com/lessons/module-5-sorting-filteringcopy-5/) - Topics: Basic Sorting and Filtering Quick, Context, Condition, and Top Filters Filter Operations
- [Module 6: Data Visualization](https://codecodence.com/lessons/module-6-data-visualizationcopy-5/) - Topics: Creating Various Chart Types: Bar, Line, Pie, and Crosstab Charts Scatter, Bubble, Bullet, Box, Tree Map, Bump, Gantt, Histogram, Waterfall, and Motion Charts Building Dashboards
- [Module 7: Projects](https://codecodence.com/lessons/module-7-projectscopy-5/) - Topics: Create one project using Python & SQL Design one interactive dashboard using Tableau
- [Module 1: Excel Basics and Customization](https://codecodence.com/lessons/module-1-excel-basics-and-customizationcopy-5/) - Topics: Overview of Excel Understanding the Excel Interface Customizing Common Options Absolute and Relative Cell References Protecting and Unprotecting Worksheets and Cells
- [Module 2: Advanced Functions and Formulas](https://codecodence.com/lessons/module-2-advanced-functions-and-formulascopy-5/) - Topics: Conditional Expressions Writing IF Statements Using Logical Functions: AND, OR, NOT Lookup and Reference Functions VLOOKUP, HLOOKUP, MATCH, INDEX VLOOKUP with Exact and Approximate Matches Nested VLOOKUPs and Dynamic Ranges Data Consolidation using VLOOKUP
- [Module 3: Data Validation Techniques](https://codecodence.com/lessons/module-3-data-validation-techniquescopy-5/) - Topics: Validating Input Setting Valid Ranges for Cells Creating Lists of Valid Values Custom Validation with Formulas
- [Module 4: Data Organization and Analysis](https://codecodence.com/lessons/module-4-data-organization-and-analysiscopy-5/) - Topics: Sorting and Filtering Sorting Tables (Multiple-level and Custom Sorting) Filtering Data (AutoFilter and Advanced Filter) Advanced Data Analysis Techniques Using Subtotals and Multiple-level Subtotals Creating and Customizing Pivot Tables Using Pivot Tables for Data Consolidation Creating Pivot Charts
- [Module 5: Power Functions for Data Analytics](https://codecodence.com/lessons/module-5-power-functions-for-data-analyticscopy-5/) - Topics: Statistical and Lookup Functions Math Function and Statistics function Applying Text Functions and Date Functions Using Database Functions for Data Management
- [Module 6: Data Visualization Techniques](https://codecodence.com/lessons/module-6-data-visualization-techniquescopy-5/) - Topics: Creating Charts Types of Charts: Bar, Line, Pie, and Combination Charts Formatting Charts for Presentation Using Secondary Axis in Charts Sharing Charts Dynamically with PowerPoint and MS Word
- [Module 7: Macros and Automation](https://codecodence.com/lessons/module-7-macros-and-automationcopy-5/) - Topics: Understanding Macros o Creating and Editing Macros Using Relative and Absolute References in Macros Automating Repetitive Tasks with Macros
- [Module 8: What-If Analysis Tools](https://codecodence.com/lessons/module-8-what-if-analysis-toolscopy-5/) - Topic: Exploring Analysis Features Goal Seek for Optimal Value Search Data Tables for Sensitivity Analysis Scenario Manager for Comparing Different Scenarios
- [Module 9: New Features and Enhancements in Excel](https://codecodence.com/lessons/module-9-new-features-and-enhancements-in-excelcopy-5/) - Topics: Leveraging New Functionalities Overview of Sparklines and Data Charts Understanding Other Recent Features and Their Applications
- [Module 1: SQL Basics](https://codecodence.com/lessons/module-1-sql-basicscopy-5/) - Topics: o Introduction to SQLo Importance of SQL in Data Analytics and Data Scienceo Overview of SQL Syntax
- [Module 2: DML, DDL & DQL](https://codecodence.com/lessons/module-2-dml-ddl-dqlcopy-5/) - Topics: DDL (Data Definition Language): Create, Alter, Drop Creating Tables and Defining Data Types Altering Table Structure Dropping Tables DML (Data Manipulation Language): Insert, Update, Delete, Merge Bulk Insert Operations DQL (Data Query Language): Select Statements and Queries Filtering Data Using WHERE Clause
- [Module 3: SQL Constraints](https://codecodence.com/lessons/module-3-sql-constraintscopy-5/) - Topics: o Not Null, Unique Constraintso Primary Key, Foreign Key, Composite Keyo Check Constraintso Default Values
- [Module 4: Querying Data](https://codecodence.com/lessons/module-4-querying-datacopycopy-3/) - Topics: o Select Distincto SQL Operatorso SQL Likeo SQL Order Byo SQL Aliaseso SQL Views
- [Module 5: SQL Joins](https://codecodence.com/lessons/module-5-sql-joinscopy-5/) - Topics: o Inner Joino Left (Outer) Joino Right (Outer) Joino Full (Outer) Joino Cross Joino Self Joino Use Cases of Joins in Data Analytics
- [Module 6: SQL Functions](https://codecodence.com/lessons/module-6-sql-functionscopy-5/) - Topics: String Functions: Char_Length Concat Lower, Upper Reverse Substring Trim Numeric Functions: Max, Min, Sum Avg, Count, Abs Round, Floor, Ceil Date Functions: Curdate, Curtime, Now Date Manipulation Functions (Date_Add, Date_Sub) Extracting Year, Month, Day from Dates
- [Module 7: Aggregate Functions and Grouping](https://codecodence.com/lessons/module-7-aggregate-functions-and-groupingcopy-5/) - Topics: o Using Aggregate Functionso Group By Clauseo Having Clauseo Analyzing Data with Aggregate Functions
- [Module 8: Subqueries and Nested Queries](https://codecodence.com/lessons/module-8-subqueries-and-nested-queriescopy-5/) - Topics: o Introduction to Subquerieso Correlated vs. Non-correlated Subquerieso Using Subqueries in Select, Insert, Update, and Delete Statements
- [Module 9: Window Functions](https://codecodence.com/lessons/module-9-window-functionscopy-5/) - Topics: o Introduction to Window Functionso Using ROW_NUMBER(), RANK(), DENSE_RANK()o Window Aggregates (SUM() OVER(), AVG() OVER())o Use Cases for Window Functions in Data Analysis
- [Module 10: Indexing and Performance Optimization](https://codecodence.com/lessons/module-10-indexing-and-performance-optimizationcopy-5/) - Topics: o Importance of Indexing in SQLo Types of Indexes (Unique, Composite)o Analyzing Query Performanceo Using EXPLAIN to Understand Query Execution Plans
- [Module 11: Data Warehousing Concepts](https://codecodence.com/lessons/module-11-data-warehousing-conceptscopy-5/) - Topics: o Introduction to Data Warehousingo ETL Processes (Extract, Transform, Load)o Star Schema and Snowflake Schemao Data Marts and Their Importance
- [Choose (Any 2)](https://codecodence.com/lessons/choose-any-2copy-2/) - Topics: Stock Price Prediction Using LSTM Object Detection Attendance System Using Face Recognition Facial Expression and Age Prediction Neural Machine Translation Handwritten Digits & Letters Prediction Number Plate Recognition Gender Classification My Assistant for Desktop Cat vs. Dog Image Classification
- [Module 1: Introduction to Artificial Neural Networks](https://codecodence.com/lessons/module-1-introduction-to-artificial-neural-networkscopy-2/) - Topics: What is Artificial Neural Network (ANN)? How Neural Networks Work? Perceptron Multilayer Perceptron Feedforward Backpropagation
- [Module 2: Introduction to Deep Learning](https://codecodence.com/lessons/module-2-introduction-to-deep-learningcopy-2/) - Topics: What is Deep Learning? Deep Learning Packages Deep Learning Applications Building Deep Learning Environment Installing TensorFlow Locally Understanding Google Colab
- [Module 3: TensorFlow Basics](https://codecodence.com/lessons/module-3-tensorflow-basicscopy-2/) - Topics: What is TensorFlow? TensorFlow 1.x vs. TensorFlow 2.x Variables and Constants Scalars, Vectors, Matrices Operations Using TensorFlow Difference Between TensorFlow and NumPy Operations Computational Graph
- [Module 4: Optimizers](https://codecodence.com/lessons/module-4-optimizerscopy-2/) - Topics: What Do Optimizers Do? Gradient Descent (Full Batch and Mini Batch) Stochastic Gradient Descent Learning Rate, Epoch
- [Module 5: Activation Functions](https://codecodence.com/lessons/module-5-activation-functionscopy-2/) - Topics: What Do Activation Functions Do? Sigmoid Function Hyperbolic Tangent Function (Tanh) ReLU (Rectified Linear Unit) Softmax Function Vanishing Gradient Problem
- [Module 6: Building Artificial Neural Networks](https://codecodence.com/lessons/module-6-building-artificial-neural-networkscopy-2/) - Topics: Using Scikit-learn Implementation Using TensorFlow Understanding MNIST Dataset Initializing Weights and Biases Gradient Tape Defining Loss/Cost Function Training the Neural Network Minimizing Loss by Adjusting Weights and Biases
- [Module 7: Modern Deep Learning Optimizers and Regularization](https://codecodence.com/lessons/module-7-modern-deep-learning-optimizers-and-regularizationcopy-2/) - Topics: SGD with Momentum RMSprop AdaGrad Adam Dropout Layers and Regularization Batch Normalization
- [Module 8: Building Deep Neural Networks Using Keras](https://codecodence.com/lessons/module-8-building-deep-neural-networks-using-kerascopy-2/) - Topics: What is Keras? Keras Fundamentals for Deep Learning Keras Sequential Model and Functional API Solve a Linear Regression and Classification Problem with Example Saving and Loading a Keras Model
- [Module 9: Convolutional Neural Networks (CNNs)](https://codecodence.com/lessons/module-9-convolutional-neural-networks-cnnscopy-2/) - Topics: Introduction to CNN CNN Architecture Convolutional Operations Pooling, Stride, and Padding Operations Data Augmentation Building, Training, and Evaluating First CNN Model Model Performance Optimization Autoencoders for CNN Transfer Learning and Object Detection Using Pre-trained CNN Models (LeNet,AlexNet, VGG16, ResNet50, YOLO Algorithm)
- [Module 10: Word Embedding](https://codecodence.com/lessons/module-10-word-embeddingcopy-2/) - Topics: What is Word Embedding? Word2Vec Embedding (CBOW, Skipgram) Keras Embedding Layers Visualizing Word Embedding (Google Word2Vec, GloVe Embedding)
- [Module 11: Recurrent Neural Networks (RNNs)](https://codecodence.com/lessons/module-11-recurrent-neural-networks-rnnscopy-2/) - Topics: Introduction to RNN RNN Architecture Implementing Basic RNN in TensorFlow Need for LSTM and GRU Deep RNN/LSTM/GRU Text Classification Using LSTM Prediction for Time Series Problem Seq-2-Seq ModelingEncoder-Decoder Model
- [Module 12: Generative Adversarial Networks (GANs)](https://codecodence.com/lessons/module-12-generative-adversarial-networks-ganscopy-2/) - Topics: Introduction to GAN Generator Discriminator Types of GAN Implementing GAN Using Neural Network
- [Module 13: Speech Recognition APIs](https://codecodence.com/lessons/module-13-speech-recognition-apiscopy-2/) - Topics: Text to Speech Speech to Text Automating Tasks Using Voice Voice Search on Web
- [Module 1: Introduction to Machine Learning](https://codecodence.com/lessons/module-1-introduction-to-machine-learningcopy-2/) - Topics: Introduction to Machine Learning Traditional vs. Machine Learning Programming Real-Life Examples Based on ML Steps of ML Programming Data Preprocessing Revised Terminology Related to ML
- [Module 2: Supervised Learning](https://codecodence.com/lessons/module-2-supervised-learningcopy-2/) - Classification Regression KNN Classification Math Behind KNN KNN Implementation Understanding Hyperparameters Performance Metrics Regression Math Behind Regression Simple Linear Regression Multiple Linear Regression Polynomial Regression Boston Price Prediction Cost or Loss Functions Mean Absolute Error Mean Squared Error Root Mean Squared Error Least Square Error Regularization Logistic Regression for Classification Theory of Logistic Regression Binary
- [Module 3: Unsupervised Learning](https://codecodence.com/lessons/module-3-unsupervised-learningcopy-2/) - Topics: Clustering K-Means Clustering Hierarchical Clustering Elbow Technique Silhouette Coefficient Dendrogram
- [Module 4: Support Vector Machines (SVM)](https://codecodence.com/lessons/module-4-support-vector-machines-svmcopy-2/) - Topics: Theory of SVM SVM Implementation Kernel, Gamma, Alpha
- [Module 5: Decision Tree Classification](https://codecodence.com/lessons/module-5-decision-tree-classificationcopy-2/) - Topics: Theory of Decision TreeNode Splitting Implementation with Iris Dataset Visualizing the Tree
- [Module 6: Ensemble Learning](https://codecodence.com/lessons/module-6-ensemble-learningcopy-2/) - Topics: Random Forest Bagging and Boosting Voting Classifier
- [Module 7: Model Selection Techniques](https://codecodence.com/lessons/module-7-model-selection-techniquescopy-2/) - Topics: Cross Validation Grid and Random Search for Hyperparameter Tuning
- [Module 8: Recommendation Systems](https://codecodence.com/lessons/module-8-recommendation-systemscopy-2/) - Topics: Content-Based Technique Collaborative Filtering Technique Evaluating Similarity Based on Correlation Classification-Based Recommendations
- [Module 9: Text Analysis](https://codecodence.com/lessons/module-9-text-analysiscopy-2/) - Topics: Install NLTK Tokenizing Words Tokenizing Sentences Stop Words Customization Stemming and Lemmatization Feature Extraction Sentiment Analysis CountVectorizer TfidfVectorizer Naive Bayes Algorithms
- [Module 10: Dimensionality Reduction](https://codecodence.com/lessons/module-10-dimensionality-reductioncopy-2/) - Topics: Principal Component Analysis (PCA)
- [Module 11: OpenCV](https://codecodence.com/lessons/module-11-opencvcopy-2/) - Topics: Reading Images Understanding Grayscale Images Resizing Images Understanding Haar Classifiers Face and Eye Classification How to Use Webcam in OpenCV Building Image Dataset Capturing Video Face Classification in Video
- [Module 1: NumPy for Numerical Computing](https://codecodence.com/lessons/module-1-numpy-for-numerical-computingcopy-4/) - Topic: Introduction to NumPy: What is NumPy? Installing NumPy NumPy Arrays: Creating Arrays: 1D, 2D, 3D Array Indexing and Slicing Array Reshaping Numerical Operations: Element-wise Operations Mathematical Functions (sum, mean, median, standard deviation) Array Broadcasting Linear Algebra: Matrix Operations (dot product, transpose) Eigenvalues and Eigenvectors Random Number Generation: Creating Random Samples
- [Module 2: Pandas for Data Manipulation](https://codecodence.com/lessons/module-2-pandas-for-data-manipulationcopy-4/) - Topics: Introduction to Pandas: What is Pandas? Installing Pandas Data Structures: Series: Creating, Indexing, and Slicing DataFrame: Creating from CSV, Excel, and other formats Data Manipulation: Data Cleaning: Handling Missing Values, Duplicates Filtering and Selecting Data Merging and Joining DataFrames Grouping and Aggregating Data Time Series Analysis: Working with DateTime Objects Resampling and Time Series
- [Module 3: Data Visualization with Matplotlib](https://codecodence.com/lessons/module-3-data-visualization-with-matplotlibcopy-4/) - Topics: Introduction to Matplotlib: What is Matplotlib? Installing Matplotlib Basic Plotting: Creating Line Plots, Scatter Plots, Bar Charts Customizing Plots: Titles, Labels, Legends Advanced Plotting: Subplots and Axes Histograms, Box Plots, and Pie Charts Annotations and Text in Plots Saving and Displaying Figures: Saving Figures to Different Formats (PNG, PDF) Interactive Plotting with Jupyter Notebooks
- [Module 4:Data Visualization with Seaborn](https://codecodence.com/lessons/module-4data-visualization-with-seaborncopy-4/) - Topics: Introduction to Seaborn: What is Seaborn? Installing Seaborn Creating Statistical Plots: Visualizing Distributions: Histograms, KDE Plots Categorical Data Visualization: Box Plots, Violin Plot Pair Plots and Pairwise Relationships Advanced Visualization: Heatmaps and Correlation Matrices Facet Grids for Multivariate Analysis Styling and Aesthetics: Customizing Themes and Color Palettes Enhancing Plot Aesthetics for Presentations
- [Module 5: Practical Applications and Case Studies](https://codecodence.com/lessons/module-5-practical-applications-and-case-studiescopy-4/) - Topics: Integrating Libraries: Using NumPy with Pandas Visualization with Matplotlib and Seaborn Case Study 1: Data Cleaning and Analysis Real-world dataset: Data loading, cleaning, and exploration Visualizing insights with Matplotlib and Seaborn Case Study 2: Exploratory Data Analysis (EDA) Performing EDA on a given dataset using all four libraries Presenting findings with visualizations
- [Module 1: Introduction to Statistics](https://codecodence.com/lessons/module-1-introduction-to-statisticscopy-4/) - Topics: o Importance of Statistics in Data Analytics and Data Scienceo Overview of Descriptive vs. Inferential Statistics
- [Module 2: Understanding Population and Samples](https://codecodence.com/lessons/module-2-understanding-population-and-samplescopy-4/) - Topics: o Definitions: Population vs. Sampleo Sampling Techniques: Random Sampling Stratified Sampling Convenience Samplingo Sample Size Determination and Its Importance
- [Module 3: Measures of Central Tendency and Dispersion](https://codecodence.com/lessons/module-3-measures-of-central-tendency-and-dispersioncopy-4/) - Topics: Measures of Central Tendency: Arithmetic Mean: Calculation and Use Median: Significance in Data Analysis Mode: Applications in Categorical Data Measures of Dispersion: Range, Variance, and Standard Deviation Interquartile Range (IQR) and its Relevance in Outlier Detection
- [Module 4: Probability and Probability Distributions](https://codecodence.com/lessons/module-4-probability-and-probability-distributionscopy-4/) - Topics: Basics of Probability: Events and Their Types Conditional Probability and Bayes’ Theorem Common Probability Distributions: Normal Distribution: Properties and Applications Binomial Distribution: Understanding Success/Failure Experiments Poisson Distribution: Modeling Count Data Central Limit Theorem: Importance in Statistical Inference
- [Module 5: Hypothesis Testing](https://codecodence.com/lessons/module-5-hypothesis-testingcopy-4/) - Topics: Understanding Null and Alternative Hypotheses Types of Errors: Type I and Type II Errors Common Tests: T-Test: One-sample, Independent, and Paired Z-Test: When to Use it ANOVA: Analysis of Variance for Comparing Means Chi-Square Test: For Categorical Data P-Values and Significance Levels: Interpretation in Data Analysis
- [Module 1: SQL Basics](https://codecodence.com/lessons/module-1-sql-basicscopy-4/) - Topics: o Introduction to SQLo Importance of SQL in Data Analytics and Data Scienceo Overview of SQL Syntax
- [Module 2: DML, DDL & DQL](https://codecodence.com/lessons/module-2-dml-ddl-dqlcopy-4/) - Topics: DDL (Data Definition Language): Create, Alter, Drop Creating Tables and Defining Data Types Altering Table Structure Dropping Tables DML (Data Manipulation Language): Insert, Update, Delete, Merge Bulk Insert Operations DQL (Data Query Language): Select Statements and Queries Filtering Data Using WHERE Clause
- [Module 3: SQL Constraints](https://codecodence.com/lessons/module-3-sql-constraintscopy-4/) - Topics: o Not Null, Unique Constraintso Primary Key, Foreign Key, Composite Keyo Check Constraintso Default Values
- [Module 4: Querying Data](https://codecodence.com/lessons/module-4-querying-datacopy-2/) - Topics: o Select Distincto SQL Operatorso SQL Likeo SQL Order Byo SQL Aliaseso SQL Views
- [Module 5: SQL Joins](https://codecodence.com/lessons/module-5-sql-joinscopy-4/) - Topics: o Inner Joino Left (Outer) Joino Right (Outer) Joino Full (Outer) Joino Cross Joino Self Joino Use Cases of Joins in Data Analytics
- [Module 6: SQL Functions](https://codecodence.com/lessons/module-6-sql-functionscopy-4/) - Topics: String Functions: Char_Length Concat Lower, Upper Reverse Substring Trim Numeric Functions: Max, Min, Sum Avg, Count, Abs Round, Floor, Ceil Date Functions: Curdate, Curtime, Now Date Manipulation Functions (Date_Add, Date_Sub) Extracting Year, Month, Day from Dates
- [Module 7: Aggregate Functions and Grouping](https://codecodence.com/lessons/module-7-aggregate-functions-and-groupingcopy-4/) - Topics: o Using Aggregate Functionso Group By Clauseo Having Clauseo Analyzing Data with Aggregate Functions
- [Module 8: Subqueries and Nested Queries](https://codecodence.com/lessons/module-8-subqueries-and-nested-queriescopy-4/) - Topics: o Introduction to Subquerieso Correlated vs. Non-correlated Subquerieso Using Subqueries in Select, Insert, Update, and Delete Statements
- [Module 9: Window Functions](https://codecodence.com/lessons/module-9-window-functionscopy-4/) - Topics: o Introduction to Window Functionso Using ROW_NUMBER(), RANK(), DENSE_RANK()o Window Aggregates (SUM() OVER(), AVG() OVER())o Use Cases for Window Functions in Data Analysis
- [Module 10: Indexing and Performance Optimization](https://codecodence.com/lessons/module-10-indexing-and-performance-optimizationcopy-4/) - Topics: o Importance of Indexing in SQLo Types of Indexes (Unique, Composite)o Analyzing Query Performanceo Using EXPLAIN to Understand Query Execution Plans
- [Module 11: Data Warehousing Concepts](https://codecodence.com/lessons/module-11-data-warehousing-conceptscopy-4/) - Topics: o Introduction to Data Warehousingo ETL Processes (Extract, Transform, Load)o Star Schema and Snowflake Schemao Data Marts and Their Importance
- [Module 1: Introduction to Python](https://codecodence.com/lessons/module-1-introduction-to-pythoncopy-4/) - Topics: o Why Python o Application Areas of Python o Python Implementations (Cpython, Jython, IronPython, PyPy) o Python Versions o Installing Python o Python Interpreter Architecture o Python Byte Code Compiler o Python Virtual Machine (PVM)
- [Module 2: Writing and Executing Your First Python Program](https://codecodence.com/lessons/module-2-writing-and-executing-your-first-python-programcopy-4/) - Topics: o Using Interactive Mode o Using Script Mode o General Text Editor and Command Window o IDLE Editor and IDLE Shell o Understanding the print() function o How to compile a Python program explicitly
- [Module 3: Python Language Fundamentals](https://codecodence.com/lessons/module-3-python-language-fundamentalscopy-4/) - Topics: o Character Set o Keywords o Comments o Variables o Literals o Operators o Reading input from console o Parsing strings to int, float
- [Module 4: Standard Data Types](https://codecodence.com/lessons/module-4-standard-data-typescopy-4/) - Topics: o int, float, complex o bool, NoneType o str, list, tuple o dict, set, frozenset
- [Module 5: Python Conditional Statements](https://codecodence.com/lessons/module-5-python-conditional-statementscopy-4/) - Topics: o If Statement o If-Else Statement o If-Elif Statement o If-Elif-Else Statement o Nested If Statement o Ternary Operator o Match Case Statements
- [Module 6: Looping Statements](https://codecodence.com/lessons/module-6-looping-statementscopy-4/) - Topics: o While Loop o For Loop o Nested Loops o Pass, Break, and Continue keywords
- [Module 7: String Handling](https://codecodence.com/lessons/module-7-string-handlingcopy-4/) - Topics: o What is a stringo String representationso Unicode Stringo String Functions, Methodso String Repetition and Concatenationo String Indexing and Slicingo String Formatting
- [Module 8: Python List](https://codecodence.com/lessons/module-8-python-listcopy-4/) - Topics: o Creating and Accessing Lists o Indexing and Slicing Lists o List Methods o Nested Lists o List Comprehension
- [Module 9: Python Tuple](https://codecodence.com/lessons/module-9-python-tuplecopy-4/) - Topics: o Creating Tuple o Accessing Tuple o Immutability of Tuple
- [Module 10: Python Set](https://codecodence.com/lessons/module-10-python-setcopy-2/) - Topics: o How to create a set o Iteration Over Sets o Python Set Methods o Python Frozenset
- [Module 11: Python Dictionary](https://codecodence.com/lessons/module-11-python-dictionarycopy-4/) - Topics: o Creating a Dictionary o Dictionary Methods o Accessing values from Dictionary o Updating Dictionary o Iterating Dictionary o Dictionary Comprehension
- [Module 12: Python Functions](https://codecodence.com/lessons/module-12-python-functionscopy-4/) - Topics: o Defining a Function o Calling a Function o Types of Functions o Function vs. Method o Function Arguments o Positional Arguments, Keyword Arguments o Default Arguments, Non-default Arguments o Arbitrary Arguments, Keyword Arbitrary Arguments o Function Return Statement o Nested Function o Function as Argument o Function as Return Statement o Decorator Function
- [Module 13: Modules & Packages](https://codecodence.com/lessons/module-13-modules-packagescopy-4/) - Topics: o Why Modules o Script vs. Module o Importing Module o Standard & Third Party Modules o Why Packages o Understanding pip Utility
- [Module 14: File I/O](https://codecodence.com/lessons/module-14-file-i-ocopy-4/) - Topics: o Introduction to File Handling o File Modes o Functions and Methods Related to File Handling o Understanding with Block
- [Module 15: Object Oriented Programming](https://codecodence.com/lessons/module-15-object-oriented-programmingcopy-4/) - Topics: o Procedural vs. Object Oriented Programming o OOP Principles o Defining a Class & Object Creation o Inheritance o Encapsulation o Polymorphism o Abstraction o Garbage Collection o Iterator & Generator
- [Module 16: Exception Handling](https://codecodence.com/lessons/module-16-exception-handlingcopy-4/) - Topics: o Difference Between Syntax Errors and Exceptions o Keywords Used in Exception Handling o try, except, finally, raise, assert o Types of Except Blocks o User-defined Exceptions
- [Module 17: Regular Expressions (Regex)](https://codecodence.com/lessons/module-17-regular-expressions-regexcopy-4/) - Topics: o Need for Regular Expressions o re Module o Functions/Methods Related to Regex o Meta Characters & Special Sequences
- [Module 1: SQL Basics](https://codecodence.com/lessons/module-1-sql-basicscopy-3/) - Topics: o Introduction to SQLo Importance of SQL in Data Analytics and Data Scienceo Overview of SQL Syntax
- [Module 2: DML, DDL & DQL](https://codecodence.com/lessons/module-2-dml-ddl-dqlcopy-3/) - Topics: DDL (Data Definition Language): Create, Alter, Drop Creating Tables and Defining Data Types Altering Table Structure Dropping Tables DML (Data Manipulation Language): Insert, Update, Delete, Merge Bulk Insert Operations DQL (Data Query Language): Select Statements and Queries Filtering Data Using WHERE Clause
- [Module 3: SQL Constraints](https://codecodence.com/lessons/module-3-sql-constraintscopy-3/) - Topics: o Not Null, Unique Constraintso Primary Key, Foreign Key, Composite Keyo Check Constraintso Default Values
- [Module 4: Querying Data](https://codecodence.com/lessons/module-4-querying-datacopycopy-2/) - Topics: o Select Distincto SQL Operatorso SQL Likeo SQL Order Byo SQL Aliaseso SQL Views
- [Module 5: SQL Joins](https://codecodence.com/lessons/module-5-sql-joinscopy-3/) - Topics: o Inner Joino Left (Outer) Joino Right (Outer) Joino Full (Outer) Joino Cross Joino Self Joino Use Cases of Joins in Data Analytics
- [Module 6: SQL Functions](https://codecodence.com/lessons/module-6-sql-functionscopy-3/) - Topics: String Functions: Char_Length Concat Lower, Upper Reverse Substring Trim Numeric Functions: Max, Min, Sum Avg, Count, Abs Round, Floor, Ceil Date Functions: Curdate, Curtime, Now Date Manipulation Functions (Date_Add, Date_Sub) Extracting Year, Month, Day from Dates
- [Module 7: Aggregate Functions and Grouping](https://codecodence.com/lessons/module-7-aggregate-functions-and-groupingcopy-3/) - Topics: o Using Aggregate Functionso Group By Clauseo Having Clauseo Analyzing Data with Aggregate Functions
- [Module 8: Subqueries and Nested Queries](https://codecodence.com/lessons/module-8-subqueries-and-nested-queriescopy-3/) - Topics: o Introduction to Subquerieso Correlated vs. Non-correlated Subquerieso Using Subqueries in Select, Insert, Update, and Delete Statements
- [Module 9: Window Functions](https://codecodence.com/lessons/module-9-window-functionscopy-3/) - Topics: o Introduction to Window Functionso Using ROW_NUMBER(), RANK(), DENSE_RANK()o Window Aggregates (SUM() OVER(), AVG() OVER())o Use Cases for Window Functions in Data Analysis
- [Module 10: Indexing and Performance Optimization](https://codecodence.com/lessons/module-10-indexing-and-performance-optimizationcopy-3/) - Topics: o Importance of Indexing in SQLo Types of Indexes (Unique, Composite)o Analyzing Query Performanceo Using EXPLAIN to Understand Query Execution Plans
- [Module 11: Data Warehousing Concepts](https://codecodence.com/lessons/module-11-data-warehousing-conceptscopy-3/) - Topics: o Introduction to Data Warehousingo ETL Processes (Extract, Transform, Load)o Star Schema and Snowflake Schemao Data Marts and Their Importance
- [Module 1: Introduction to Python](https://codecodence.com/lessons/module-1-introduction-to-pythoncopy-2/) - Topics: o Why Python o Application Areas of Python o Python Implementations (Cpython, Jython, IronPython, PyPy) o Python Versions o Installing Python o Python Interpreter Architecture o Python Byte Code Compiler o Python Virtual Machine (PVM)
- [Module 2: Writing and Executing Your First Python Program](https://codecodence.com/lessons/module-2-writing-and-executing-your-first-python-programcopy-2/) - Topics: o Using Interactive Mode o Using Script Mode o General Text Editor and Command Window o IDLE Editor and IDLE Shell o Understanding the print() function o How to compile a Python program explicitly
- [Module 3: Python Language Fundamentals](https://codecodence.com/lessons/module-3-python-language-fundamentalscopy-2/) - Topics: o Character Set o Keywords o Comments o Variables o Literals o Operators o Reading input from console o Parsing strings to int, float
- [Module 4: Standard Data Types](https://codecodence.com/lessons/module-4-standard-data-typescopy-2/) - Topics: o int, float, complex o bool, NoneType o str, list, tuple o dict, set, frozenset
- [Module 5: Python Conditional Statements](https://codecodence.com/lessons/module-5-python-conditional-statementscopy-2/) - Topics: o If Statement o If-Else Statement o If-Elif Statement o If-Elif-Else Statement o Nested If Statement o Ternary Operator o Match Case Statements
- [Module 6: Looping Statements](https://codecodence.com/lessons/module-6-looping-statementscopy-2/) - Topics: o While Loop o For Loop o Nested Loops o Pass, Break, and Continue keywords
- [Module 7: String Handling](https://codecodence.com/lessons/module-7-string-handlingcopy-2/) - Topics: o What is a stringo String representationso Unicode Stringo String Functions, Methodso String Repetition and Concatenationo String Indexing and Slicingo String Formatting
- [Module 8: Python List](https://codecodence.com/lessons/module-8-python-listcopy-2/) - Topics: o Creating and Accessing Lists o Indexing and Slicing Lists o List Methods o Nested Lists o List Comprehension
- [Module 9: Python Tuple](https://codecodence.com/lessons/module-9-python-tuplecopy-2/) - Topics: o Creating Tuple o Accessing Tuple o Immutability of Tuple
- [Module 10: Python Set & Frozenset](https://codecodence.com/lessons/module-10-python-set-frozensetcopy/) - Topics: o How to create a set o Iteration Over Sets o Python Set Methods o Python Frozenset
- [Module 11: Python Dictionary](https://codecodence.com/lessons/module-11-python-dictionarycopy-2/) - Topics: o Creating a Dictionary o Dictionary Methods o Accessing values from Dictionary o Updating Dictionary o Iterating Dictionary o Dictionary Comprehension
- [Module 12: Python Functions](https://codecodence.com/lessons/module-12-python-functionscopy-2/) - Topics: o Defining a Function o Calling a Function o Types of Functions o Function vs. Method o Function Arguments o Positional Arguments, Keyword Arguments o Default Arguments, Non-default Arguments o Arbitrary Arguments, Keyword Arbitrary Arguments o Function Return Statement o Nested Function o Function as Argument o Function as Return Statement o Decorator Function
- [Module 13: Modules & Packages](https://codecodence.com/lessons/module-13-modules-packagescopy-2/) - Topics: o Why Modules o Script vs. Module o Importing Module o Standard & Third Party Modules o Why Packages o Understanding pip Utility
- [Module 14: File I/O](https://codecodence.com/lessons/module-14-file-i-ocopy-2/) - Topics: o Introduction to File Handling o File Modes o Functions and Methods Related to File Handling o Understanding with Block
- [Module 15: Object Oriented Programming](https://codecodence.com/lessons/module-15-object-oriented-programmingcopy-2/) - Topics: o Procedural vs. Object Oriented Programming o OOP Principles o Defining a Class & Object Creation o Inheritance o Encapsulation o Polymorphism o Abstraction o Garbage Collection o Iterator & Generator
- [Module 16: Exception Handling](https://codecodence.com/lessons/module-16-exception-handlingcopy-2/) - Topics: o Difference Between Syntax Errors and Exceptions o Keywords Used in Exception Handling o try, except, finally, raise, assert o Types of Except Blocks o User-defined Exceptions
- [Module 17: Regular Expressions (Regex)](https://codecodence.com/lessons/module-17-regular-expressions-regexcopy-2/) - Topics: o Need for Regular Expressions o re Module o Functions/Methods Related to Regex o Meta Characters & Special Sequences
- [Module 1: Introduction to Power BI](https://codecodence.com/lessons/module-1-introduction-to-power-bicopy/) - Topics: Introduction to Business Intelligence (BI) and Various BI Tools Overview of Power BI and Its Components Installing Power BI Desktop
- [Module 2: Data Visualization](https://codecodence.com/lessons/module-2-data-visualizationcopy/) - Topics: Understanding Power View and Power Map Visualization Techniques and Formatting Creating Various Charts: Column, Pie, Donut, Scatter, Funnel Charts Geographical Data Visualization Using Maps Implementing Drill Down and Drill Through Utilizing Bookmarks and Selection Pane Comparing Volume and Value-Based Analytics Using Filter Pane and Slicers Implementing Hierarchies in Drill Down Analysis Syncing Slicers and
- [Module 3: Power BI Service, Publishing & Sharing](https://codecodence.com/lessons/module-3-power-bi-service-publishing-sharingcopy/) - Topics: Introduction to Power BI Service and Workspaces Creating and Configuring Dashboards Understanding Dashboard Themes Differentiating Reports vs. Dashboards Sharing Reports and Dashboards
- [Module 4: Data Transformation](https://codecodence.com/lessons/module-4-data-transformationcopy/) - Topics: Shaping Data Using Power Query Editor Formatting and Transforming Data Understanding Data Types and Best Practices Working with Parameters Merging and Appending Queries Grouping, Duplicating, and Referencing Tables Pivoting, Un-pivoting, and Custom Columns Replacing Data, Splitting Columns, and Moving Columns Promoting Rows as Column Headers
- [Module 5: Data Modeling & DAX](https://codecodence.com/lessons/module-5-data-modeling-daxcopy/) - Topics: Understanding Relationships and Creating Relationships Cardinality and Cross Filter Direction Introduction to DAX and Its Syntax Using DAX Functions for Calculated Columns, Measures, and Tables Learning Table, Information, Logical, Text, Iterator, and Time Intelligence Functions (YTD, QTD, MTD) Cumulative Values, Calculated Tables, and Ranking
- [Module 1: Tableau Overview](https://codecodence.com/lessons/module-1-tableau-overviewcopy/) - Topics: Introduction to Tableau Environment Setup Getting Started with Tableau Navigation and Design Flow Understanding File Types and Data Types Utilizing "Show Me" Feature Data Terminology in Tableau
- [Module 2: Data Sources](https://codecodence.com/lessons/module-2-data-sourcescopy/) - Topics: Custom Data Views Connecting to Data Sources Extracting Data Field Operations Editing Metadata Data Joining and Blending
- [Module 3: Worksheets](https://codecodence.com/lessons/module-3-worksheetscopy/) - Topics: Adding and Renaming Worksheets Saving and Deleting Worksheets Reordering Worksheets Creating Paged Workbooks
- [Module 4: Calculations](https://codecodence.com/lessons/module-4-calculationscopy/) - Topics: Operators and Functions Numeric, String, and Date Calculations Table Calculations Level of Detail (LOD) Expressions
- [Module 5: Sorting & Filtering](https://codecodence.com/lessons/module-5-sorting-filteringcopy/) - Topics: Basic Sorting and Filtering Quick, Context, Condition, and Top Filters Filter Operations
- [Module 6: Data Visualization](https://codecodence.com/lessons/module-6-data-visualizationcopy/) - Topics: Creating Various Chart Types: Bar, Line, Pie, and Crosstab Charts Scatter, Bubble, Bullet, Box, Tree Map, Bump, Gantt, Histogram, Waterfall, and Motion Charts Building Dashboards
- [Module 7: Projects](https://codecodence.com/lessons/module-7-projectscopy/) - Topics: Create one project using Python & SQL Design one interactive dashboard using Tableau
- [Module 1: Excel Basics and Customization](https://codecodence.com/lessons/module-1-excel-basics-and-customizationcopy/) - Topics: Overview of Excel Understanding the Excel Interface Customizing Common Options Absolute and Relative Cell References Protecting and Unprotecting Worksheets and Cells
- [Module 2: Advanced Functions and Formulas](https://codecodence.com/lessons/module-2-advanced-functions-and-formulascopy/) - Topics: Conditional Expressions Writing IF Statements Using Logical Functions: AND, OR, NOT Lookup and Reference Functions VLOOKUP, HLOOKUP, MATCH, INDEX VLOOKUP with Exact and Approximate Matches Nested VLOOKUPs and Dynamic Ranges Data Consolidation using VLOOKUP
- [Module 3: Data Validation Techniques](https://codecodence.com/lessons/module-3-data-validation-techniquescopy/) - Topics: Validating Input Setting Valid Ranges for Cells Creating Lists of Valid Values Custom Validation with Formulas
- [Module 4: Data Organization and Analysis](https://codecodence.com/lessons/module-4-data-organization-and-analysiscopy/) - Topics: Sorting and Filtering Sorting Tables (Multiple-level and Custom Sorting) Filtering Data (AutoFilter and Advanced Filter) Advanced Data Analysis Techniques Using Subtotals and Multiple-level Subtotals Creating and Customizing Pivot Tables Using Pivot Tables for Data Consolidation Creating Pivot Charts
- [Module 5: Power Functions for Data Analytics](https://codecodence.com/lessons/module-5-power-functions-for-data-analyticscopy/) - Topics: Statistical and Lookup Functions Math Function and Statistics function Applying Text Functions and Date Functions Using Database Functions for Data Management
- [Module 6: Data Visualization Techniques](https://codecodence.com/lessons/module-6-data-visualization-techniquescopy/) - Topics: Creating Charts Types of Charts: Bar, Line, Pie, and Combination Charts Formatting Charts for Presentation Using Secondary Axis in Charts Sharing Charts Dynamically with PowerPoint and MS Word
- [Module 7: Macros and Automation](https://codecodence.com/lessons/module-7-macros-and-automationcopy/) - Topics: Understanding Macros o Creating and Editing Macros Using Relative and Absolute References in Macros Automating Repetitive Tasks with Macros
- [Module 8: What-If Analysis Tools](https://codecodence.com/lessons/module-8-what-if-analysis-toolscopy/) - Topic: Exploring Analysis Features Goal Seek for Optimal Value Search Data Tables for Sensitivity Analysis Scenario Manager for Comparing Different Scenarios
- [Module 9: New Features and Enhancements in Excel](https://codecodence.com/lessons/module-9-new-features-and-enhancements-in-excelcopy/) - Topics: Leveraging New Functionalities Overview of Sparklines and Data Charts Understanding Other Recent Features and Their Applications
- [Module 1: Introduction to VBA](https://codecodence.com/lessons/module-1-introduction-to-vbacopy/) - Topics: Overview of VBA Importance of VBA in Data Analytics and Data Science Understanding the VBA Environment in Excel Navigating the VBA Editor
- [Module 2: Automating Data Tasks with Macros](https://codecodence.com/lessons/module-2-automating-data-tasks-with-macroscopy/) - Topics: Recording and Editing Macros How to Record Macros for Data Automation Editing and Improving Recorded Macros Best Practices for Macro Recording in Data Workflows
- [Module 3: Fundamental VBA Programming Concepts](https://codecodence.com/lessons/module-3-fundamental-vba-programming-conceptscopy/) - Topics: Basic Programming in VBA Variables, Data Types, and Constants Control Structures: If Statements, Loops (For, While) Writing Functions and Subroutines for Data Operations
- [Module 4: Working with Excel Objects](https://codecodence.com/lessons/module-4-working-with-excel-objectscopy/) - Topics: Excel Object Model for Data Analysis Manipulating Workbooks, Worksheets, and Ranges Handling Data in Cells: Input, Formatting, and Output Creating and Modifying Charts through VBA
- [Module 5: Data Cleaning and Transformation](https://codecodence.com/lessons/module-5-data-cleaning-and-transformationcopy/) - Topics: Automating Data Preparation Tasks Importing and Exporting Data with VBA Techniques for Data Cleaning: Removing Duplicates, Handling Missing Values Using VBA to Transform Data for Analysis
- [Module 6: Advanced Data Manipulation Techniques](https://codecodence.com/lessons/module-6-advanced-data-manipulation-techniquescopy/) - Topics: Leveraging VBA for Complex Data Tasks Automating Data Filtering and Sorting Using Arrays and Collections for Efficient Data Management Creating Pivot Tables and Reports via VBA
- [Module 7: User-Defined Functions (UDFs) for Data Analysis](https://codecodence.com/lessons/module-7-user-defined-functions-udfs-for-data-analysiscopy/) - Topics: Creating Custom Functions Writing User-Defined Functions for Specific Analytical Needs Utilizing UDFs in Excel Formulas Practical Examples of UDFs for Data Science Applications
- [Module 8: Data Visualization and Reporting](https://codecodence.com/lessons/module-8-data-visualization-and-reportingcopy/) - Topics: Enhancing Reporting with VBA Automating the Creation of Dashboards and Reports Formatting Charts and Tables Programmatically Exporting Reports to Different Formats (PDF, Word)
- [Module 1: NumPy for Numerical Computing](https://codecodence.com/lessons/module-1-numpy-for-numerical-computingcopy/) - Topic: Introduction to NumPy: What is NumPy? Installing NumPy NumPy Arrays: Creating Arrays: 1D, 2D, 3D Array Indexing and Slicing Array Reshaping Numerical Operations: Element-wise Operations Mathematical Functions (sum, mean, median, standard deviation) Array Broadcasting Linear Algebra: Matrix Operations (dot product, transpose) Eigenvalues and Eigenvectors Random Number Generation: Creating Random Samples
- [Module 2: Pandas for Data Manipulation](https://codecodence.com/lessons/module-2-pandas-for-data-manipulationcopy/) - Topics: Introduction to Pandas: What is Pandas? Installing Pandas Data Structures: Series: Creating, Indexing, and Slicing DataFrame: Creating from CSV, Excel, and other formats Data Manipulation: Data Cleaning: Handling Missing Values, Duplicates Filtering and Selecting Data Merging and Joining DataFrames Grouping and Aggregating Data Time Series Analysis: Working with DateTime Objects Resampling and Time Series
- [Module 3: Data Visualization with Matplotlib](https://codecodence.com/lessons/module-3-data-visualization-with-matplotlibcopy/) - Topics: Introduction to Matplotlib: What is Matplotlib? Installing Matplotlib Basic Plotting: Creating Line Plots, Scatter Plots, Bar Charts Customizing Plots: Titles, Labels, Legends Advanced Plotting: Subplots and Axes Histograms, Box Plots, and Pie Charts Annotations and Text in Plots Saving and Displaying Figures: Saving Figures to Different Formats (PNG, PDF) Interactive Plotting with Jupyter Notebooks
- [Module 4:Data Visualization with Seaborn](https://codecodence.com/lessons/module-4data-visualization-with-seaborncopy/) - Topics: Introduction to Seaborn: What is Seaborn? Installing Seaborn Creating Statistical Plots: Visualizing Distributions: Histograms, KDE Plots Categorical Data Visualization: Box Plots, Violin Plot Pair Plots and Pairwise Relationships Advanced Visualization: Heatmaps and Correlation Matrices Facet Grids for Multivariate Analysis Styling and Aesthetics: Customizing Themes and Color Palettes Enhancing Plot Aesthetics for Presentations
- [Module 5: Practical Applications and Case Studies](https://codecodence.com/lessons/module-5-practical-applications-and-case-studiescopy/) - Topics: Integrating Libraries: Using NumPy with Pandas Visualization with Matplotlib and Seaborn Case Study 1: Data Cleaning and Analysis Real-world dataset: Data loading, cleaning, and exploration Visualizing insights with Matplotlib and Seaborn Case Study 2: Exploratory Data Analysis (EDA) Performing EDA on a given dataset using all four libraries Presenting findings with visualizations
- [Module 1: Introduction to Statistics](https://codecodence.com/lessons/module-1-introduction-to-statisticscopy/) - Topics: o Importance of Statistics in Data Analytics and Data Scienceo Overview of Descriptive vs. Inferential Statistics
- [Module 2: Understanding Population and Samples](https://codecodence.com/lessons/module-2-understanding-population-and-samplescopy/) - Topics: o Definitions: Population vs. Sampleo Sampling Techniques: Random Sampling Stratified Sampling Convenience Samplingo Sample Size Determination and Its Importance
- [Module 3: Measures of Central Tendency and Dispersion](https://codecodence.com/lessons/module-3-measures-of-central-tendency-and-dispersioncopy/) - Topics: Measures of Central Tendency: Arithmetic Mean: Calculation and Use Median: Significance in Data Analysis Mode: Applications in Categorical Data Measures of Dispersion: Range, Variance, and Standard Deviation Interquartile Range (IQR) and its Relevance in Outlier Detection
- [Module 4: Probability and Probability Distributions](https://codecodence.com/lessons/module-4-probability-and-probability-distributionscopy/) - Topics: Basics of Probability: Events and Their Types Conditional Probability and Bayes’ Theorem Common Probability Distributions: Normal Distribution: Properties and Applications Binomial Distribution: Understanding Success/Failure Experiments Poisson Distribution: Modeling Count Data Central Limit Theorem: Importance in Statistical Inference
- [Module 5: Hypothesis Testing](https://codecodence.com/lessons/module-5-hypothesis-testingcopy/) - Topics: Understanding Null and Alternative Hypotheses Types of Errors: Type I and Type II Errors Common Tests: T-Test: One-sample, Independent, and Paired Z-Test: When to Use it ANOVA: Analysis of Variance for Comparing Means Chi-Square Test: For Categorical Data P-Values and Significance Levels: Interpretation in Data Analysis
- [Module 1: SQL Basics](https://codecodence.com/lessons/module-1-sql-basicscopy/) - Topics: o Introduction to SQLo Importance of SQL in Data Analytics and Data Scienceo Overview of SQL Syntax
- [Module 2: DML, DDL & DQL](https://codecodence.com/lessons/module-2-dml-ddl-dqlcopy/) - Topics: DDL (Data Definition Language): Create, Alter, Drop Creating Tables and Defining Data Types Altering Table Structure Dropping Tables DML (Data Manipulation Language): Insert, Update, Delete, Merge Bulk Insert Operations DQL (Data Query Language): Select Statements and Queries Filtering Data Using WHERE Clause
- [Module 3: SQL Constraints](https://codecodence.com/lessons/module-3-sql-constraintscopy/) - Topics: o Not Null, Unique Constraintso Primary Key, Foreign Key, Composite Keyo Check Constraintso Default Values
- [Module 4: Querying DataCopy](https://codecodence.com/lessons/module-4-querying-datacopy/) - Topics: o Select Distincto SQL Operatorso SQL Likeo SQL Order Byo SQL Aliaseso SQL Views
- [Module 5: SQL Joins](https://codecodence.com/lessons/module-5-sql-joinscopy/) - Topics: o Inner Joino Left (Outer) Joino Right (Outer) Joino Full (Outer) Joino Cross Joino Self Joino Use Cases of Joins in Data Analytics
- [Module 6: SQL Functions](https://codecodence.com/lessons/module-6-sql-functionscopy/) - Topics: String Functions: Char_Length Concat Lower, Upper Reverse Substring Trim Numeric Functions: Max, Min, Sum Avg, Count, Abs Round, Floor, Ceil Date Functions: Curdate, Curtime, Now Date Manipulation Functions (Date_Add, Date_Sub) Extracting Year, Month, Day from Dates
- [Module 7: Aggregate Functions and Grouping](https://codecodence.com/lessons/module-7-aggregate-functions-and-groupingcopy/) - Topics: o Using Aggregate Functionso Group By Clauseo Having Clauseo Analyzing Data with Aggregate Functions
- [Module 8: Subqueries and Nested Queries](https://codecodence.com/lessons/module-8-subqueries-and-nested-queriescopy/) - Topics: o Introduction to Subquerieso Correlated vs. Non-correlated Subquerieso Using Subqueries in Select, Insert, Update, and Delete Statements
- [Module 9: Window Functions](https://codecodence.com/lessons/module-9-window-functionscopy/) - Topics: o Introduction to Window Functionso Using ROW_NUMBER(), RANK(), DENSE_RANK()o Window Aggregates (SUM() OVER(), AVG() OVER())o Use Cases for Window Functions in Data Analysis
- [Module 10: Indexing and Performance Optimization](https://codecodence.com/lessons/module-10-indexing-and-performance-optimizationcopy/) - Topics: o Importance of Indexing in SQLo Types of Indexes (Unique, Composite)o Analyzing Query Performanceo Using EXPLAIN to Understand Query Execution Plans
- [Module 11: Data Warehousing Concepts](https://codecodence.com/lessons/module-11-data-warehousing-conceptscopy/) - Topics: o Introduction to Data Warehousingo ETL Processes (Extract, Transform, Load)o Star Schema and Snowflake Schemao Data Marts and Their Importance
- [Module 1: Introduction to Python](https://codecodence.com/lessons/module-1-introduction-to-pythoncopy/) - Topics: o Why Python o Application Areas of Python o Python Implementations (Cpython, Jython, IronPython, PyPy) o Python Versions o Installing Python o Python Interpreter Architecture o Python Byte Code Compiler o Python Virtual Machine (PVM)
- [Module 2: Writing and Executing Your First Python Program](https://codecodence.com/lessons/module-2-writing-and-executing-your-first-python-programcopy/) - Topics: o Using Interactive Mode o Using Script Mode o General Text Editor and Command Window o IDLE Editor and IDLE Shell o Understanding the print() function o How to compile a Python program explicitly
- [Module 3: Python Language Fundamentals](https://codecodence.com/lessons/module-3-python-language-fundamentalscopy/) - Topics: o Character Set o Keywords o Comments o Variables o Literals o Operators o Reading input from console o Parsing strings to int, float
- [Module 4: Standard Data Types](https://codecodence.com/lessons/module-4-standard-data-typescopy/) - Topics: o int, float, complex o bool, NoneType o str, list, tuple o dict, set, frozenset
- [Module 5: Python Conditional Statements](https://codecodence.com/lessons/module-5-python-conditional-statementscopy/) - Topics: o If Statement o If-Else Statement o If-Elif Statement o If-Elif-Else Statement o Nested If Statement o Ternary Operator o Match Case Statements
- [Module 6: Looping Statements](https://codecodence.com/lessons/module-6-looping-statementscopy/) - Topics: o While Loop o For Loop o Nested Loops o Pass, Break, and Continue keywords
- [Module 7: String Handling](https://codecodence.com/lessons/module-7-string-handlingcopy/) - Topics: o What is a stringo String representationso Unicode Stringo String Functions, Methodso String Repetition and Concatenationo String Indexing and Slicingo String Formatting
- [Module 8: Python List](https://codecodence.com/lessons/module-8-python-listcopy/) - Topics: o Creating and Accessing Lists o Indexing and Slicing Lists o List Methods o Nested Lists o List Comprehension
- [Module 9: Python Tuple](https://codecodence.com/lessons/module-9-python-tuplecopy/) - Topics: o Creating Tuple o Accessing Tuple o Immutability of Tuple
- [Module 10: Python Set & Frozenset](https://codecodence.com/lessons/module-10-python-setcopy/) - Topics: o How to create a set o Iteration Over Sets o Python Set Methods o Python Frozenset
- [Module 11: Python Dictionary](https://codecodence.com/lessons/module-11-python-dictionarycopy/) - Topics: o Creating a Dictionary o Dictionary Methods o Accessing values from Dictionary o Updating Dictionary o Iterating Dictionary o Dictionary Comprehension
- [Module 12: Python Functions](https://codecodence.com/lessons/module-12-python-functionscopy/) - Topics: o Defining a Function o Calling a Function o Types of Functions o Function vs. Method o Function Arguments o Positional Arguments, Keyword Arguments o Default Arguments, Non-default Arguments o Arbitrary Arguments, Keyword Arbitrary Arguments o Function Return Statement o Nested Function o Function as Argument o Function as Return Statement o Decorator Function
- [Module 13: Modules & Packages](https://codecodence.com/lessons/module-13-modules-packagescopy/) - Topics: o Why Modules o Script vs. Module o Importing Module o Standard & Third Party Modules o Why Packages o Understanding pip Utility
- [Module 14: File I/O](https://codecodence.com/lessons/module-14-file-i-ocopy/) - Topics: o Introduction to File Handling o File Modes o Functions and Methods Related to File Handling o Understanding with Block
- [Module 15: Object Oriented Programming](https://codecodence.com/lessons/module-15-object-oriented-programmingcopy/) - Topics: o Procedural vs. Object Oriented Programming o OOP Principles o Defining a Class & Object Creation o Inheritance o Encapsulation o Polymorphism o Abstraction o Garbage Collection o Iterator & Generator
- [Module 16: Exception Handling](https://codecodence.com/lessons/module-16-exception-handlingcopy/) - Topics: o Difference Between Syntax Errors and Exceptions o Keywords Used in Exception Handling o try, except, finally, raise, assert o Types of Except Blocks o User-defined Exceptions
- [Module 17: Regular Expressions (Regex)](https://codecodence.com/lessons/module-17-regular-expressions-regexcopy/) - Topics: o Need for Regular Expressions o re Module o Functions/Methods Related to Regex o Meta Characters & Special Sequences
- [Introduction to SOAP and RMI:](https://codecodence.com/lessons/introduction-to-soap-and-rmi/) - o SOAP-based Web Serviceso Remote Method Invocation (RMI) in Java
- [RESTful Services:](https://codecodence.com/lessons/restful-services/) - o Introduction to REST (Representational State Transfer)o Developing REST APIs with Javao Testing APIs with Postman
- [Project Work Building Full-Stack Applications:](https://codecodence.com/lessons/project-work-building-full-stack-applications/) - o Connecting Front-end (React) with Back-end (Spring Boot)o API Integration and Data Flowo Deploying Full-Stack Applications on cloud (Heroku, AWS, etc.)o Implementing CI/CD for automatic deployment
- [Introduction to Design Patterns:](https://codecodence.com/lessons/introduction-to-design-patterns/) - o Why use design patterns?o Creational Patterns (Singleton, Factory)o Structural Patterns (Adapter, Facade)o Behavioral Patterns (Observer, Strategy)
- [Introduction to Microservices Architecture:](https://codecodence.com/lessons/introduction-to-microservices-architecture/) - o Monolithic vs Microserviceso Building scalable Microservices using Spring Booto Creating RESTful serviceso Service Discovery and API Gateway using Spring Cloud
- [Hibernate Inheritance and Caching:](https://codecodence.com/lessons/hibernate-inheritance-and-caching/) - o Inheritance mapping (Single Table, Table-per-class)o First-level and Second-level caching
- [Hibernate CRUD Operations:](https://codecodence.com/lessons/hibernate-crud-operations/) - o Creating, Reading, Updating, and Deleting (CRUD) using Hibernateo Hibernate Query Language (HQL)
- [Introduction to ORM and Hibernate:](https://codecodence.com/lessons/introduction-to-orm-and-hibernate/) - o What is ORM? Why use Hibernate?o Hibernate configuration and setupo Annotations (@Entity, @Table, @Id, etc.)
- [Spring Security:](https://codecodence.com/lessons/spring-security/) - o Implementing authentication and authorization with Spring Securityo JWT-based Authentication
- [Spring Boot:](https://codecodence.com/lessons/spring-boot/) - o Introduction to Spring Booto Setting up a Spring Boot projecto Spring Boot Annotations (@RestController, @Service, @Autowired, etc.)o Building REST APIs with Spring Booto Spring Boot JPA and Hibernate Integration
- [Introduction to Spring:](https://codecodence.com/lessons/introduction-to-spring/) - o Spring Core Concepts (Dependency Injection, Inversion of Control)o Spring Modules (Core, MVC, AOP, Data, Security)
- [Java Collections Framework:](https://codecodence.com/lessons/java-collections-framework/) - o Lists (ArrayList, LinkedList), Sets (HashSet, TreeSet)o Maps (HashMap, TreeMap), Iterators, and Streams
- [Exception Handling and File I/O:](https://codecodence.com/lessons/exception-handling-and-file-i-o/) - o Try-Catch-Finally, Creating custom exceptionso Working with Files (Reading, Writing using FileInputStream,FileOutputStream)
- [Object-Oriented Programming (OOP) Concepts:](https://codecodence.com/lessons/object-oriented-programming-oop-concepts/) - o Classes, Objects, Methods, and Constructorso Inheritance, Polymorphism, Encapsulation, and Abstractiono Interfaces and Abstract Classes
- [Java Language Fundamentals:](https://codecodence.com/lessons/java-language-fundamentals/) - o Data Types, Variables, Operators, and Control Flow (if, else, switch)o Loops (for, while, do-while)o Arrays and Strings
- [Introduction to Java:](https://codecodence.com/lessons/introduction-to-java/) - o Java Platforms (JDK, JVM, JRE)o Overview of Java features (OOP, portability, performance)o Setup (Installing JDK, using IDEs like IntelliJ, Eclipse)
- [Next.js Authentication:](https://codecodence.com/lessons/next-js-authentication/) - o Building authentication and protected routes
- [Data Fetching:](https://codecodence.com/lessons/data-fetching/) - o Using getStaticProps and getServerSidePropso API routes for building backend with Next.js
- [Basic Routing:](https://codecodence.com/lessons/basic-routing/) - o Dynamic routing in Next.jso Navigating between pages using Link component
- [Introduction to Next.js:](https://codecodence.com/lessons/introduction-to-next-js/) - o Overview of server-side rendering (SSR)o Difference between SSR and client-side rendering (CSR)
- [State Management with Redux:](https://codecodence.com/lessons/state-management-with-redux/) - o Introduction to Redux (Store, Actions, Reducers)o Connecting Redux with React components (useSelector, useDispatch)o Middleware like Redux Thunk for async actions
- [Routing with React Router:](https://codecodence.com/lessons/routing-with-react-router/) - o Introduction to Client-Side Routingo Creating multiple pages using React Routero Nested Routes and Redirects
- [React Hooks:](https://codecodence.com/lessons/react-hooks-2/) - o useEffect for side-effectso useRef, useContext, and other important hooks
- [State and Props:](https://codecodence.com/lessons/state-and-props/) - o Passing data between components using Propso Managing component state with useStateo Event Handling in React (onClick, onChange)
- [Introduction to React:](https://codecodence.com/lessons/introduction-to-react/) - o What is React? Why use it?o Setting up a React project (using create-react-app)o JSX Syntax, Components (Functional and Class Components)
- [Basic TypeScript Concepts:](https://codecodence.com/lessons/basic-typescript-concepts/) - o Data Types (String, Number, Boolean, Any, Void)o Interfaces, Enums, and Type Aliaseso Classes and Objects in TypeScripto Access Modifiers (public, private, protected)o Generics and Decorators
- [Introduction to TypeScript:](https://codecodence.com/lessons/introduction-to-typescript/) - o Why TypeScript? Differences from JavaScripto Setting up a TypeScript environment (Installation, Compiler)
- [JSON](https://codecodence.com/lessons/json/) - o Working with JSON data (parse and stringify)
- [JavaScript Advanced:](https://codecodence.com/lessons/javascript-advanced/) - o Asynchronous JavaScript (Callbacks, Promises, async/await)o AJAX and Fetch API for server communicationo Error Handling (try-catch)
- [DOM Manipulation:](https://codecodence.com/lessons/dom-manipulation/) - o Understanding the Document Object Model (DOM)o Selecting elements (getElementById, querySelector)o Adding/Removing elements dynamicallyo Handling Events (onClick, onChange)
- [Functions and Scope:](https://codecodence.com/lessons/functions-and-scope/) - o Defining functions, Function Expressions, Arrow Functionso Scope (Global vs Local)o Closures and IIFEs (Immediately Invoked Function Expressions)
- [Introduction to JavaScript:](https://codecodence.com/lessons/introduction-to-javascript/) - o What is JavaScript? How to include it in HTMLo Variables, Data Types (String, Number, Boolean, Object)o Operators, Conditions (if-else, switch-case)o Loops (for, while, do-while)
- [Advanced CSS:](https://codecodence.com/lessons/advanced-css/) - o Pseudo-elements and Pseudo-classeso Z-index and stacking contexto Variables in CSS
- [Layouts and Grids:](https://codecodence.com/lessons/layouts-and-grids/) - o Flexbox (Align items, justify content, wrap)o CSS Grid Layouto Responsive Design (Media Queries)o CSS Transitions and Animations
- [CSS Styling:](https://codecodence.com/lessons/css-styling/) - o Fonts, Text Formatting, and Colorso Box Model (margin, padding, borders)o Display (block, inline, inline-block), Position (absolute, relative, fixed)
- [Introduction to CSS:](https://codecodence.com/lessons/introduction-to-css/) - o What is CSS? How does it work with HTML?o Syntax and Selectors (Class, ID, Element)
- [HTML5 Features:](https://codecodence.com/lessons/html5-features/) - o New semantic elements (, , , )o Audio and Video Tagso Canvas and SVG for graphics
- [Forms and Input Elements:](https://codecodence.com/lessons/forms-and-input-elements/) - o Form elements (, , )o Input types, Select, TextArea, Submit, Reset buttons
- [Lists & Tables:](https://codecodence.com/lessons/lists-tables/) - o Ordered and Unordered Lists (, )o Table structure (, , , )
- [Links & Images:](https://codecodence.com/lessons/links-images/) - o Anchor tags (), Internal vs External Linkso Image tags (), Image attributes (alt, width, height)
- [Basic Tags:](https://codecodence.com/lessons/basic-tags/) - o Headings ( to )o Paragraphs ()o Formatting Tags (bold, italic, underline, etc.)
- [Introduction to HTML:](https://codecodence.com/lessons/introduction-to-html/) - o Structure of an HTML documento DOCTYPE declarationo HTML tags, elements, and attributes
- [Project Deployment on Cloud](https://codecodence.com/lessons/project-deployment-on-cloud/) -  Choose a cloud provider Set up a virtual server and environment Configure web server, deploy your Django application Set up database, configure Django settings, run migrations Collect static files, start application
- [Miscellaneous](https://codecodence.com/lessons/miscellaneous/) -  Sending email using Django library Pagination (function-based, class-based)
- [Developing Web Services (APIs)](https://codecodence.com/lessons/developing-web-services-apis/) -  What is a web API? Difference between SOAP and RESTful APIs Django REST Framework for developing RESTful APIs Understanding JSON response, how to consume RESTful API using requestspackage
- [Django User Authentication](https://codecodence.com/lessons/django-user-authentication/) -  Working with user objects, permissions and authorization Extending the existing user model
- [Django Models (ORM)](https://codecodence.com/lessons/django-models-orm/) -  Understanding Django Forms, model class and field types Performing CRUD operations, fetching records from database Understanding QuerySet, integration with MySQL database
- [Django Templates](https://codecodence.com/lessons/django-templates/) -  Built-in templates tags & filters, template variables, template inheritance How to render Django form to template, form validations (GET and POSTmethods)
- [Understanding Django Project](https://codecodence.com/lessons/understanding-django-project/) -  Creating Django project and app Understanding directory structure of project, URL mappings, views HttpRequest and HttpResponse objects, registering app in settings.py Django development server, control flow of request processing, MVT designpattern
- [Getting Started with Django](https://codecodence.com/lessons/getting-started-with-django/) -  Language vs Framework What is Django Framework? Django versions and installation
- [React Hooks](https://codecodence.com/lessons/react-hooks/) -  Why we need hooks Different types of hooks (useState, useEffect, useReducer, useRef, etc.) Custom hooks Rules of hooks
- [Introduction to Redux](https://codecodence.com/lessons/introduction-to-redux/) -  Why Redux? Install and setup Store, reducer, actions, dispatcher High order components, mapStateToProps and mapDispatchToProps usage Async actions, middleware, Redux Thunk, and Redux Saga
- [Advanced React.js](https://codecodence.com/lessons/advanced-react-js/) -  Conditional rendering, list and keys, forms handling, forms validations Component lifecycle hooks and event handling Network calls (Fetch, Axios) Local data storage (Local Storage, Session Storage, Cookies) Routing with React Router (setting up, configuring routes, working with nestedroutes)
- [React Concepts](https://codecodence.com/lessons/react-concepts/) -  Environmental setup (Node, NPM, installation of CLI) Setting up project structure and code editors Basic features of React.js JSX and TSX, render elements, function and class components Props and state, handling events, dynamic data rendering
- [Introduction to React.js](https://codecodence.com/lessons/introduction-to-react-js/) -  What is React.js? SPA (Single Page Applications) DOM vs Virtual DOM
- [Typescript](https://codecodence.com/lessons/typescript/) -  Why TypeScript? Basic types, classes, interfaces, modules
- [Bootstrap](https://codecodence.com/lessons/bootstrap/) -  Introduction to Bootstrap4 Bootstrap CDN & Local Bootstrap classes, forms, buttons, colors, grid system
- [JavaScript](https://codecodence.com/lessons/javascript/) -  Introduction to JavaScript Comments and types of comments Popup boxes, variables & operators Functions and events, conditional statements, looping control Exception handling, JavaScript objects (Browser objects) DOM and BOM
- [CSS](https://codecodence.com/lessons/css/) -  Introduction to CSS3 Inline, Internal, External CSS Styling text, fonts, borders Selectors, backgrounds, borders, margin & padding
- [HTML](https://codecodence.com/lessons/html/) -  Introduction to HTML5 Parts of an HTML document Head section, Meta information, Body section HTML forms, Anchors, Images, Comments, Tables, DIV section
- [Introduction to Web](https://codecodence.com/lessons/introduction-to-web/) -  What are web applications? Static vs Dynamic web applications Web application architecture
- [Module 10: Indexing and Performance Optimization](https://codecodence.com/lessons/module-10-indexing-and-performance-optimization-3/) - Topics:o Importance of Indexing in SQLo Types of Indexes (Unique, Composite)o Analyzing Query Performanceo Using EXPLAIN to Understand Query Execution Plans
- [Module 9: Window Functions](https://codecodence.com/lessons/module-9-window-functions-3/) - Topics:o Introduction to Window Functionso Using ROW_NUMBER(), RANK(), DENSE_RANK()o Window Aggregates (SUM() OVER(), AVG() OVER())o Use Cases for Window Functions in Data Analysis
- [Module 8: Subqueries and Nested Queries](https://codecodence.com/lessons/module-8-subqueries-and-nested-queries-3/) - Topics:o Introduction to Subquerieso Correlated vs. Non-correlated Subquerieso Using Subqueries in Select, Insert, Update, and Delete Statements
- [Module 7: Aggregate Functions and Grouping](https://codecodence.com/lessons/module-7-aggregate-functions-and-grouping-3/) - Topics:o Using Aggregate Functionso Group By Clauseo Having Clauseo Analyzing Data with Aggregate Functions
- [Module 6: SQL Functions](https://codecodence.com/lessons/module-6-sql-functions-3/) - Topics:o String Functions: Char_Length Concat Lower, Upper Reverse Substring Trimo Numeric Functions: Max, Min, Sum Avg, Count, Abs Round, Floor, Ceilo Date Functions: Curdate, Curtime, Now Date Manipulation Functions (Date_Add, Date_Sub) Extracting Year, Month, Day from Dates
- [Module 5: SQL Joins](https://codecodence.com/lessons/module-5-sql-joins-3/) - Topics:o Inner Joino Left (Outer) Joino Right (Outer) Joino Full (Outer) Joino Cross Joino Self Joino Use Cases of Joins in Data Analytics
- [Module 4: Querying Data](https://codecodence.com/lessons/module-4-querying-data-3/) - Topics:o Select Distincto SQL Operatorso SQL Likeo SQL Order Byo SQL Aliaseso SQL Views
- [Module 3: SQL Constraints](https://codecodence.com/lessons/module-3-sql-constraints-3/) - Topics:o Not Null, Unique Constraintso Primary Key, Foreign Key, Composite Keyo Check Constraintso Default Values
- [Module 2: DML, DDL & DQL](https://codecodence.com/lessons/module-2-dml-ddl-dql-3/) - Topics:o DDL (Data Definition Language): Create, Alter, Drop Creating Tables and Defining Data Types Altering Table Structure Dropping Tableso DML (Data Manipulation Language): Insert, Update, Delete, Merge Bulk Insert Operationso DQL (Data Query Language): Select Statements and Queries Filtering Data Using WHERE Clause
- [Module 1: SQL Basics](https://codecodence.com/lessons/module-1-sql-basics-3/) - Topics:o Introduction to SQLo Importance of SQL in Data Analytics and Data Scienceo Overview of SQL SyntaxModule 2: DML, DDL & DQL
- [Module 17: Regular Expressions (Regex)](https://codecodence.com/lessons/module-19-regular-expressions-regex-2/) - Topics:o Need for Regular Expressionso re Moduleo Functions/Methods Related to Regexo Meta Characters & Special Sequences
- [Module 19: Multi-Threading Programming](https://codecodence.com/lessons/module-18-multi-threading-programming/) - Topics:o Multi-processing vs. Multi-threadingo Need of Threadso Creating Child Threadso Functions/Methods Related to Threadso Thread Synchronization and Locking
- [Module 18: GUI Programming](https://codecodence.com/lessons/module-17-gui-programming/) - Topics:o Introduction to Tkinter Programmingo Tkinter Widgetso Tk, Label, Entry, TextBox, Buttonso Frame, MessageBox, FileDialog, etc.o Layout Managerso Event Handlingo Displaying Image
- [Module 16: Exception Handling](https://codecodence.com/lessons/module-16-exception-handling-3/) - Topics:o Difference Between Syntax Errors and Exceptionso Keywords Used in Exception Handlingo try, except, finally, raise, asserto Types of Except Blockso User-defined Exceptions
- [Module 15: Object Oriented Programming](https://codecodence.com/lessons/module-15-object-oriented-programming-3/) - Topics:o Procedural vs. Object Oriented Programmingo OOP Principleso Defining a Class & Object Creationo Inheritanceo Encapsulationo Polymorphismo Abstractiono Garbage Collectiono Iterator & Generator
- [Module 14: File I/O](https://codecodence.com/lessons/module-14-file-i-o-3/) - Topics:o Introduction to File Handlingo File Modeso Functions and Methods Related to File Handlingo Understanding with Block
- [Module 13: Modules & Packages](https://codecodence.com/lessons/module-13-modules-packages-3/) - Topics:o Why Moduleso Script vs. Moduleo Importing Moduleo Standard & Third Party Moduleso Why Packageso Understanding pip Utility
- [Module 12: Python Functions](https://codecodence.com/lessons/module-12-python-functions-3/) - Topics:o Defining a Functiono Calling a Functiono Types of Functionso Function vs. Methodo Function Argumentso Positional Arguments, Keyword Argumentso Default Arguments, Non-default Argumentso Arbitrary Arguments, Keyword Arbitrary Argumentso Function Return Statemento Nested Functiono Function as Argumento Function as Return Statemento Decorator Functiono Closureo map(), filter(), reduce(), any() functionso Anonymous or Lambda Function
- [Module 11: Python Dictionary](https://codecodence.com/lessons/module-11-python-dictionary-3/) - Topics:o Creating a Dictionaryo Dictionary Methodso Accessing values from Dictionaryo Updating Dictionaryo Iterating Dictionaryo Dictionary Comprehension
- [Module 10: Python Set](https://codecodence.com/lessons/module-10-python-set-3/) - Topics:o How to create a seto Iteration Over Setso Python Set Methodso Python Frozenset
- [Module 9: Python Tuple](https://codecodence.com/lessons/module-9-python-tuple-4/) - Topics:o Creating Tupleo Accessing Tuple o Immutability of Tuple
- [Module 8: Python List](https://codecodence.com/lessons/module-8-python-list-3/) - Topics:o Creating and Accessing Listso Indexing and Slicing Listso List Methodso Nested Listso List Comprehension
- [Module 7: String Handling](https://codecodence.com/lessons/module-7-string-handling-3/) - Topics:o What is a stringo String representationso Unicode Stringo String Functions, Methodso String Repetition and Concatenationo String Indexing and Slicingo String Formatting
- [Module 6: Standard Data Types](https://codecodence.com/lessons/module-6-standard-data-types-3/) - Topics:o int, float, complexo bool, NoneTypeo str, list, tupleo dict, set, frozenset
- [Module 5: Looping Statements](https://codecodence.com/lessons/module-5-looping-statements-3/) - Topics:o While Loopo For Loopo Nested Loopso Pass, Break, and Continue keywords
- [Module 4: Python Conditional Statements](https://codecodence.com/lessons/module-4-python-conditional-statements-4/) - Topics:o If Statemento If-Else Statemento If-Elif Statemento If-Elif-Else Statemento Nested If Statemento Ternary Operatoro Match Case Statements
- [Module 3: Python Language Fundamentals](https://codecodence.com/lessons/module-3-python-language-fundamentals-3/) - Topics:o Character Seto Keywordso Commentso Variableso Literalso Operatorso Reading input from consoleo Parsing strings to int, float
- [Module 2: Writing and Executing Your First Python Program](https://codecodence.com/lessons/module-2-writing-and-executing-your-first-python-program-3/) - Topics:o Using Interactive Modeo Using Script Modeo General Text Editor and Command Windowo IDLE Editor and IDLE Shello Understanding the print() functiono How to compile a Python program explicitly
- [Module 1: Introduction to Python](https://codecodence.com/lessons/module-1-introduction-to-python-4/) - Topics:o Why Pythono Application Areas of Pythono Python Implementations (Cpython, Jython, IronPython, PyPy)o Python Versionso Installing Pythono Python Interpreter Architectureo Python Byte Code Compilero Python Virtual Machine (PVM)
- [Module 5: Data Modeling & DAX](https://codecodence.com/lessons/module-5/) - Topics: Understanding Relationships and Creating Relationships Cardinality and Cross Filter Direction Introduction to DAX and Its Syntax Using DAX Functions for Calculated Columns, Measures, and Tables Learning Table, Information, Logical, Text, Iterator, and Time Intelligence Functions (YTD, QTD, MTD) Cumulative Values, Calculated Tables, and Ranking
- [Module 4: Data Transformation](https://codecodence.com/lessons/module-4/) - Topics: Shaping Data Using Power Query Editor Formatting and Transforming Data Understanding Data Types and Best Practices Working with Parameters Merging and Appending Queries Grouping, Duplicating, and Referencing Tables Pivoting, Un-pivoting, and Custom Columns Replacing Data, Splitting Columns, and Moving Columns Promoting Rows as Column Headers
- [Module 3: Power BI Service, Publishing & Sharing](https://codecodence.com/lessons/module-3/) - Topics: Introduction to Power BI Service and Workspaces Creating and Configuring Dashboards Understanding Dashboard Themes Differentiating Reports vs. Dashboards Sharing Reports and Dashboards
- [Module 2: Data Visualization](https://codecodence.com/lessons/module-2-data-visualization/) - Topics: Understanding Power View and Power Map Visualization Techniques and Formatting Creating Various Charts: Column, Pie, Donut, Scatter, Funnel Charts Geographical Data Visualization Using Maps Implementing Drill Down and Drill Through Utilizing Bookmarks and Selection Pane Comparing Volume and Value-Based Analytics Using Filter Pane and Slicers Implementing Hierarchies in Drill Down Analysis Syncing Slicers and
- [Module 1: Introduction to Power BI](https://codecodence.com/lessons/module-1-introduction-to-power-bi/) - Topics: Introduction to Business Intelligence (BI) and Various BI Tools Overview of Power BI and Its Components Installing Power BI Desktop
- [Module 7: Projects](https://codecodence.com/lessons/module-7-projects/) - Topics: Create one project using Python & SQL Design one interactive dashboard using Tableau
- [Module 6: Data Visualization](https://codecodence.com/lessons/module-6-data-visualization/) - Topics: Creating Various Chart Types: Bar, Line, Pie, and Crosstab Charts Scatter, Bubble, Bullet, Box, Tree Map, Bump, Gantt, Histogram, Waterfall, and Motion Charts Building Dashboards
- [Module 5: Sorting & Filtering](https://codecodence.com/lessons/module-5-sorting-filtering/) - Topics: Basic Sorting and Filtering Quick, Context, Condition, and Top Filters Filter Operations
- [Module 4: Calculations](https://codecodence.com/lessons/module-4-calculations/) - Topics: Operators and Functions Numeric, String, and Date Calculations Table Calculations Level of Detail (LOD) Expressions
- [Module 3: Worksheets](https://codecodence.com/lessons/module-3-worksheets/) - Topics: Adding and Renaming Worksheets Saving and Deleting Worksheets Reordering Worksheets Creating Paged Workbooks
- [Module 2: Data Sources](https://codecodence.com/lessons/module-2-data-sources/) - Topics: Custom Data Views Connecting to Data Sources Extracting Data Field Operations Editing Metadata Data Joining and Blending
- [Module 1: Tableau Overview](https://codecodence.com/lessons/module-1-tableau-overview/) - Topics: Introduction to Tableau Environment Setup Getting Started with Tableau Navigation and Design Flow Understanding File Types and Data Types Utilizing "Show Me" Feature Data Terminology in Tableau
- [Module 8: Data Visualization and Reporting](https://codecodence.com/lessons/module-8-data-visualization-and-reporting/) - Topics: Enhancing Reporting with VBA Automating the Creation of Dashboards and Reports Formatting Charts and Tables Programmatically Exporting Reports to Different Formats (PDF, Word)
- [Module 7: User-Defined Functions (UDFs) for Data Analysis](https://codecodence.com/lessons/module-7-user-defined-functions-udfs-for-data-analysis/) - Topics: Creating Custom Functions Writing User-Defined Functions for Specific Analytical Needs Utilizing UDFs in Excel Formulas Practical Examples of UDFs for Data Science Applications
- [Module 6: Advanced Data Manipulation Techniques](https://codecodence.com/lessons/module-6-advanced-data-manipulation-techniques/) - Topics: Leveraging VBA for Complex Data Tasks Automating Data Filtering and Sorting Using Arrays and Collections for Efficient Data Management Creating Pivot Tables and Reports via VBA
- [Module 5: Data Cleaning and Transformation](https://codecodence.com/lessons/module-5-data-cleaning-and-transformation/) - Topics: Automating Data Preparation Tasks Importing and Exporting Data with VBA Techniques for Data Cleaning: Removing Duplicates, Handling Missing Values Using VBA to Transform Data for Analysis
- [Module 4: Working with Excel Objects](https://codecodence.com/lessons/module-4-working-with-excel-objects/) - Topics: Excel Object Model for Data Analysis Manipulating Workbooks, Worksheets, and Ranges Handling Data in Cells: Input, Formatting, and Output Creating and Modifying Charts through VBA
- [Module 3: Fundamental VBA Programming Concepts](https://codecodence.com/lessons/module-3-fundamental-vba-programming-concepts/) - Topics: Basic Programming in VBA Variables, Data Types, and Constants Control Structures: If Statements, Loops (For, While) Writing Functions and Subroutines for Data Operations
- [Module 2: Automating Data Tasks with Macros](https://codecodence.com/lessons/module-2-automating-data-tasks-with-macros/) - Topics: Recording and Editing Macros How to Record Macros for Data Automation Editing and Improving Recorded Macros Best Practices for Macro Recording in Data Workflows
- [Module 1: Introduction to VBA](https://codecodence.com/lessons/module-1-introduction-to-vba/) - Topics: Overview of VBA Importance of VBA in Data Analytics and Data Science Understanding the VBA Environment in Excel Navigating the VBA Editor
- [Module 9: New Features and Enhancements in Excel](https://codecodence.com/lessons/module-9-new-features-and-enhancements-in-excel/) - Topics: Leveraging New Functionalities Overview of Sparklines and Data Charts Understanding Other Recent Features and Their Applications
- [Module 8: What-If Analysis Tools](https://codecodence.com/lessons/module-8-what-if-analysis-tools/) - Topic: Exploring Analysis Features Goal Seek for Optimal Value Search Data Tables for Sensitivity Analysis Scenario Manager for Comparing Different Scenarios
- [Module 7: Macros and Automation](https://codecodence.com/lessons/module-7-macros-and-automation/) - Topics: Understanding Macros o Creating and Editing Macros Using Relative and Absolute References in Macros Automating Repetitive Tasks with Macros
- [Module 6: Data Visualization Techniques](https://codecodence.com/lessons/module-6-data-visualization-techniques/) - Topics: Creating Charts Types of Charts: Bar, Line, Pie, and Combination Charts Formatting Charts for Presentation Using Secondary Axis in Charts Sharing Charts Dynamically with PowerPoint and MS Word
- [Module 5: Power Functions for Data Analytics](https://codecodence.com/lessons/module-5-power-functions-for-data-analytics/) - Topics: Statistical and Lookup Functions Math Function and Statistics function Applying Text Functions and Date Functions Using Database Functions for Data Management
- [Module 4: Data Organization and Analysis](https://codecodence.com/lessons/module-4-data-organization-and-analysis/) - Topics: Sorting and Filtering Sorting Tables (Multiple-level and Custom Sorting) Filtering Data (AutoFilter and Advanced Filter) Advanced Data Analysis Techniques Using Subtotals and Multiple-level Subtotals Creating and Customizing Pivot Tables Using Pivot Tables for Data Consolidation Creating Pivot Charts
- [Module 3: Data Validation Techniques](https://codecodence.com/lessons/module-3-data-validation-techniques/) - Topics: Validating Input Setting Valid Ranges for Cells Creating Lists of Valid Values Custom Validation with Formulas
- [Module 2: Advanced Functions and Formulas](https://codecodence.com/lessons/module-2-advanced-functions-and-formulas/) - Topics: Conditional Expressions Writing IF Statements Using Logical Functions: AND, OR, NOT Lookup and Reference Functions VLOOKUP, HLOOKUP, MATCH, INDEX VLOOKUP with Exact and Approximate Matches Nested VLOOKUPs and Dynamic Ranges Data Consolidation using VLOOKUP
- [Module 1: Excel Basics and Customization](https://codecodence.com/lessons/module-1-excel-basics-and-customization/) - Topics: Overview of Excel Understanding the Excel Interface Customizing Common Options Absolute and Relative Cell References Protecting and Unprotecting Worksheets and Cells
- [Choose (Any 2)](https://codecodence.com/lessons/choose-any-2/) - Topics: Stock Price Prediction Using LSTM Object Detection Attendance System Using Face Recognition Facial Expression and Age Prediction Neural Machine Translation Handwritten Digits & Letters Prediction Number Plate Recognition Gender Classification My Assistant for Desktop Cat vs. Dog Image Classification
- [Module 13: Speech Recognition APIs](https://codecodence.com/lessons/module-13-speech-recognition-apis/) - Topics: Text to Speech Speech to Text Automating Tasks Using Voice Voice Search on Web
- [Module 12: Generative Adversarial Networks (GANs)](https://codecodence.com/lessons/module-12-generative-adversarial-networks-gans/) - Topics: Introduction to GAN Generator Discriminator Types of GAN Implementing GAN Using Neural Network
- [Module 11: Recurrent Neural Networks (RNNs)](https://codecodence.com/lessons/module-11-recurrent-neural-networks-rnns/) - Topics: Introduction to RNN RNN Architecture Implementing Basic RNN in TensorFlow Need for LSTM and GRU Deep RNN/LSTM/GRU Text Classification Using LSTM Prediction for Time Series Problem Seq-2-Seq ModelingEncoder-Decoder Model
- [Module 10: Word Embedding](https://codecodence.com/lessons/module-10-word-embedding/) - Topics: What is Word Embedding? Word2Vec Embedding (CBOW, Skipgram) Keras Embedding Layers Visualizing Word Embedding (Google Word2Vec, GloVe Embedding)
- [Module 9: Convolutional Neural Networks (CNNs)](https://codecodence.com/lessons/module-9-convolutional-neural-networks-cnns/) - Topics: Introduction to CNN CNN Architecture Convolutional Operations Pooling, Stride, and Padding Operations Data Augmentation Building, Training, and Evaluating First CNN Model Model Performance Optimization Autoencoders for CNN Transfer Learning and Object Detection Using Pre-trained CNN Models (LeNet,AlexNet, VGG16, ResNet50, YOLO Algorithm)
- [Module 8: Building Deep Neural Networks Using Keras](https://codecodence.com/lessons/module-8-building-deep-neural-networks-using-keras/) - Topics: What is Keras? Keras Fundamentals for Deep Learning Keras Sequential Model and Functional API Solve a Linear Regression and Classification Problem with Example Saving and Loading a Keras Model
- [Module 7: Modern Deep Learning Optimizers and Regularization](https://codecodence.com/lessons/module-7-modern-deep-learning-optimizers-and-regularization/) - Topics: SGD with Momentum RMSprop AdaGrad Adam Dropout Layers and Regularization Batch Normalization
- [Module 6: Building Artificial Neural Networks](https://codecodence.com/lessons/module-6-building-artificial-neural-networks/) - Topics: Using Scikit-learn Implementation Using TensorFlow Understanding MNIST Dataset Initializing Weights and Biases Gradient Tape Defining Loss/Cost Function Training the Neural Network Minimizing Loss by Adjusting Weights and Biases
- [Module 5: Activation Functions](https://codecodence.com/lessons/module-5-activation-functions/) - Topics: What Do Activation Functions Do? Sigmoid Function Hyperbolic Tangent Function (Tanh) ReLU (Rectified Linear Unit) Softmax Function Vanishing Gradient Problem
- [Module 4: Optimizers](https://codecodence.com/lessons/module-4-optimizers/) - Topics: What Do Optimizers Do? Gradient Descent (Full Batch and Mini Batch) Stochastic Gradient Descent Learning Rate, Epoch
- [Module 3: TensorFlow Basics](https://codecodence.com/lessons/module-3-tensorflow-basics/) - Topics: What is TensorFlow? TensorFlow 1.x vs. TensorFlow 2.x Variables and Constants Scalars, Vectors, Matrices Operations Using TensorFlow Difference Between TensorFlow and NumPy Operations Computational Graph
- [Module 2: Introduction to Deep Learning](https://codecodence.com/lessons/module-2-introduction-to-deep-learning/) - Topics: What is Deep Learning? Deep Learning Packages Deep Learning Applications Building Deep Learning Environment Installing TensorFlow Locally Understanding Google Colab
- [Module 1: Introduction to Artificial Neural Networks](https://codecodence.com/lessons/module-1-introduction-to-artificial-neural-networks/) - Topics: What is Artificial Neural Network (ANN)? How Neural Networks Work? Perceptron Multilayer Perceptron Feedforward Backpropagation
- [Module 11: OpenCV](https://codecodence.com/lessons/module-11-opencv/) - Topics: Reading Images Understanding Grayscale Images Resizing Images Understanding Haar Classifiers Face and Eye Classification How to Use Webcam in OpenCV Building Image Dataset Capturing Video Face Classification in Video
- [Module 10: Dimensionality Reduction](https://codecodence.com/lessons/module-10-dimensionality-reduction/) - Topics: Principal Component Analysis (PCA)
- [Module 9: Text Analysis](https://codecodence.com/lessons/module-9-text-analysis/) - Topics: Install NLTK Tokenizing Words Tokenizing Sentences Stop Words Customization Stemming and Lemmatization Feature Extraction Sentiment Analysis CountVectorizer TfidfVectorizer Naive Bayes Algorithms
- [Module 8: Recommendation Systems](https://codecodence.com/lessons/module-8-recommendation-systems/) - Topics: Content-Based Technique Collaborative Filtering Technique Evaluating Similarity Based on Correlation Classification-Based Recommendations
- [Module 7: Model Selection Techniques](https://codecodence.com/lessons/module-7-model-selection-techniques/) - Topics: Cross Validation Grid and Random Search for Hyperparameter Tuning
- [Module 6: Ensemble Learning](https://codecodence.com/lessons/module-6-ensemble-learning/) - Topics: Random Forest Bagging and Boosting Voting Classifier
- [Module 5: Decision Tree Classification](https://codecodence.com/lessons/module-5-decision-tree-classification/) - Topics: Theory of Decision TreeNode Splitting Implementation with Iris Dataset Visualizing the Tree
- [Module 4: Support Vector Machines (SVM)](https://codecodence.com/lessons/module-4-support-vector-machines-svm/) - Topics: Theory of SVM SVM Implementation Kernel, Gamma, Alpha
- [Module 3: Unsupervised Learning](https://codecodence.com/lessons/module-3-unsupervised-learning/) - Topics: Clustering K-Means Clustering Hierarchical Clustering Elbow Technique Silhouette Coefficient Dendrogram
- [Module 2: Supervised Learning](https://codecodence.com/lessons/module-2-supervised-learning/) - Classification Regression KNN Classification Math Behind KNN KNN Implementation Understanding Hyperparameters Performance Metrics Regression Math Behind Regression Simple Linear Regression Multiple Linear Regression Polynomial Regression Boston Price Prediction Cost or Loss Functions Mean Absolute Error Mean Squared Error Root Mean Squared Error Least Square Error Regularization Logistic Regression for Classification Theory of Logistic Regression Binary
- [Module 1: Introduction to Machine Learning](https://codecodence.com/lessons/1-introduction-to-machine-learning/) - Topics: Introduction to Machine Learning Traditional vs. Machine Learning Programming Real-Life Examples Based on ML Steps of ML Programming Data Preprocessing Revised Terminology Related to ML
- [Module 5: Hypothesis Testing](https://codecodence.com/lessons/module-5-hypothesis-testing/) - Topics: Understanding Null and Alternative Hypotheses Types of Errors: Type I and Type II Errors Common Tests: T-Test: One-sample, Independent, and Paired Z-Test: When to Use it ANOVA: Analysis of Variance for Comparing Means Chi-Square Test: For Categorical Data P-Values and Significance Levels: Interpretation in Data Analysis
- [Module 4: Probability and Probability Distributions](https://codecodence.com/lessons/module-4-probability-and-probability-distributions/) - Topics: Basics of Probability: Events and Their Types Conditional Probability and Bayes’ Theorem Common Probability Distributions: Normal Distribution: Properties and Applications Binomial Distribution: Understanding Success/Failure Experiments Poisson Distribution: Modeling Count Data Central Limit Theorem: Importance in Statistical Inference
- [Module 3: Measures of Central Tendency and Dispersion](https://codecodence.com/lessons/module-3-measures-of-central-tendency-and-dispersion/) - Topics: Measures of Central Tendency: Arithmetic Mean: Calculation and Use Median: Significance in Data Analysis Mode: Applications in Categorical Data Measures of Dispersion: Range, Variance, and Standard Deviation Interquartile Range (IQR) and its Relevance in Outlier Detection
- [Module 2: Understanding Population and Samples](https://codecodence.com/lessons/module-2-understanding-population-and-samples/) - Topics: o Definitions: Population vs. Sampleo Sampling Techniques: Random Sampling Stratified Sampling Convenience Samplingo Sample Size Determination and Its Importance
- [Module 1: Introduction to Statistics](https://codecodence.com/lessons/module-1-introduction-to-statistics/) - Topics: o Importance of Statistics in Data Analytics and Data Scienceo Overview of Descriptive vs. Inferential Statistics
- [Module 5: Practical Applications and Case Studies](https://codecodence.com/lessons/module-5-practical-applications-and-case-studies/) - Topics: Integrating Libraries: Using NumPy with Pandas Visualization with Matplotlib and Seaborn Case Study 1: Data Cleaning and Analysis Real-world dataset: Data loading, cleaning, and exploration Visualizing insights with Matplotlib and Seaborn Case Study 2: Exploratory Data Analysis (EDA) Performing EDA on a given dataset using all four libraries Presenting findings with visualizations
- [Module 4:Data Visualization with Seaborn](https://codecodence.com/lessons/module-4data-visualization-with-seaborn/) - Topics: Introduction to Seaborn: What is Seaborn? Installing Seaborn Creating Statistical Plots: Visualizing Distributions: Histograms, KDE Plots Categorical Data Visualization: Box Plots, Violin Plot Pair Plots and Pairwise Relationships Advanced Visualization: Heatmaps and Correlation Matrices Facet Grids for Multivariate Analysis Styling and Aesthetics: Customizing Themes and Color Palettes Enhancing Plot Aesthetics for Presentations
- [Module 3: Data Visualization with Matplotlib](https://codecodence.com/lessons/module-3-data-visualization-with-matplotlib/) - Topics: Introduction to Matplotlib: What is Matplotlib? Installing Matplotlib Basic Plotting: Creating Line Plots, Scatter Plots, Bar Charts Customizing Plots: Titles, Labels, Legends Advanced Plotting: Subplots and Axes Histograms, Box Plots, and Pie Charts Annotations and Text in Plots Saving and Displaying Figures: Saving Figures to Different Formats (PNG, PDF) Interactive Plotting with Jupyter Notebooks
- [Module 2: Pandas for Data Manipulation](https://codecodence.com/lessons/module-2-pandas-for-data-manipulation/) - Topics: Introduction to Pandas: What is Pandas? Installing Pandas Data Structures: Series: Creating, Indexing, and Slicing DataFrame: Creating from CSV, Excel, and other formats Data Manipulation: Data Cleaning: Handling Missing Values, Duplicates Filtering and Selecting Data Merging and Joining DataFrames Grouping and Aggregating Data Time Series Analysis: Working with DateTime Objects Resampling and Time Series
- [Module 1: NumPy for Numerical Computing](https://codecodence.com/lessons/module-1-numpy-for-numerical-computing/) - Topic: Introduction to NumPy: What is NumPy? Installing NumPy NumPy Arrays: Creating Arrays: 1D, 2D, 3D Array Indexing and Slicing Array Reshaping Numerical Operations: Element-wise Operations Mathematical Functions (sum, mean, median, standard deviation) Array Broadcasting Linear Algebra: Matrix Operations (dot product, transpose) Eigenvalues and Eigenvectors Random Number Generation: Creating Random Samples
- [Module 11: Data Warehousing Concepts](https://codecodence.com/lessons/module-11-data-warehousing-concepts/) - Topics: o Introduction to Data Warehousingo ETL Processes (Extract, Transform, Load)o Star Schema and Snowflake Schemao Data Marts and Their Importance
- [Module 10: Indexing and Performance Optimization](https://codecodence.com/lessons/module-10-indexing-and-performance-optimization/) - Topics: o Importance of Indexing in SQLo Types of Indexes (Unique, Composite)o Analyzing Query Performanceo Using EXPLAIN to Understand Query Execution Plans
- [Module 9: Window Functions](https://codecodence.com/lessons/module-9-window-functions/) - Topics: o Introduction to Window Functionso Using ROW_NUMBER(), RANK(), DENSE_RANK()o Window Aggregates (SUM() OVER(), AVG() OVER())o Use Cases for Window Functions in Data Analysis
- [Module 8: Subqueries and Nested Queries](https://codecodence.com/lessons/module-8-subqueries-and-nested-queries/) - Topics: o Introduction to Subquerieso Correlated vs. Non-correlated Subquerieso Using Subqueries in Select, Insert, Update, and Delete Statements
- [Module 7: Aggregate Functions and Grouping](https://codecodence.com/lessons/module-7-aggregate-functions-and-grouping/) - Topics: o Using Aggregate Functionso Group By Clauseo Having Clauseo Analyzing Data with Aggregate Functions
- [Module 6: SQL Functions](https://codecodence.com/lessons/module-6-sql-functions/) - Topics: String Functions: Char_Length Concat Lower, Upper Reverse Substring Trim Numeric Functions: Max, Min, Sum Avg, Count, Abs Round, Floor, Ceil Date Functions: Curdate, Curtime, Now Date Manipulation Functions (Date_Add, Date_Sub) Extracting Year, Month, Day from Dates
- [Module 5: SQL Joins](https://codecodence.com/lessons/module-5-sql-joins/) - Topics: o Inner Joino Left (Outer) Joino Right (Outer) Joino Full (Outer) Joino Cross Joino Self Joino Use Cases of Joins in Data Analytics
- [Module 4: Querying Data](https://codecodence.com/lessons/module-4-querying-data/) - Topics: o Select Distincto SQL Operatorso SQL Likeo SQL Order Byo SQL Aliaseso SQL Views
- [Module 3: SQL Constraints](https://codecodence.com/lessons/module-3-sql-constraints/) - Topics: o Not Null, Unique Constraintso Primary Key, Foreign Key, Composite Keyo Check Constraintso Default Values
- [Module 2: DML, DDL & DQL](https://codecodence.com/lessons/module-2-dml-ddl-dql/) - Topics: DDL (Data Definition Language): Create, Alter, Drop Creating Tables and Defining Data Types Altering Table Structure Dropping Tables DML (Data Manipulation Language): Insert, Update, Delete, Merge Bulk Insert Operations DQL (Data Query Language): Select Statements and Queries Filtering Data Using WHERE Clause
- [Module 1: SQL Basics](https://codecodence.com/lessons/module-1-sql-basics/) - Topics: o Introduction to SQLo Importance of SQL in Data Analytics and Data Scienceo Overview of SQL Syntax
- [Module 17: Regular Expressions (Regex)](https://codecodence.com/lessons/module-19-regular-expressions-regex/) - Topics: o Need for Regular Expressions o re Module o Functions/Methods Related to Regex o Meta Characters & Special Sequences
- [Module 16: Exception Handling](https://codecodence.com/lessons/module-16-exception-handling/) - Topics: o Difference Between Syntax Errors and Exceptions o Keywords Used in Exception Handling o try, except, finally, raise, assert o Types of Except Blocks o User-defined Exceptions
- [Module 15: Object Oriented Programming](https://codecodence.com/lessons/module-15-object-oriented-programming/) - Topics: o Procedural vs. Object Oriented Programming o OOP Principles o Defining a Class & Object Creation o Inheritance o Encapsulation o Polymorphism o Abstraction o Garbage Collection o Iterator & Generator
- [Module 14: File I/O](https://codecodence.com/lessons/module-14-file-i-o/) - Topics: o Introduction to File Handling o File Modes o Functions and Methods Related to File Handling o Understanding with Block
- [Module 13: Modules & Packages](https://codecodence.com/lessons/module-13-modules-packages/) - Topics: o Why Modules o Script vs. Module o Importing Module o Standard & Third Party Modules o Why Packages o Understanding pip Utility
- [Module 12: Python Functions](https://codecodence.com/lessons/module-12-python-functions/) - Topics: o Defining a Function o Calling a Function o Types of Functions o Function vs. Method o Function Arguments o Positional Arguments, Keyword Arguments o Default Arguments, Non-default Arguments o Arbitrary Arguments, Keyword Arbitrary Arguments o Function Return Statement o Nested Function o Function as Argument o Function as Return Statement o Decorator Function
- [Module 11: Python Dictionary](https://codecodence.com/lessons/module-11-python-dictionary/) - Topics: o Creating a Dictionary o Dictionary Methods o Accessing values from Dictionary o Updating Dictionary o Iterating Dictionary o Dictionary Comprehension
- [Module 9: Python Tuple](https://codecodence.com/lessons/module-9-python-tuple/) - Topics: o Creating Tuple o Accessing Tuple o Immutability of Tuple
- [Module 10: Python Set](https://codecodence.com/lessons/module-10-python-set/) - Topics: o How to create a set o Iteration Over Sets o Python Set Methods o Python Frozenset
- [Module 8: Python List](https://codecodence.com/lessons/module-8-python-list/) - Topics: o Creating and Accessing Lists o Indexing and Slicing Lists o List Methods o Nested Lists o List Comprehension
- [Module 7: String Handling](https://codecodence.com/lessons/module-7-string-handling/) - Topics: o What is a stringo String representationso Unicode Stringo String Functions, Methodso String Repetition and Concatenationo String Indexing and Slicingo String Formatting
- [Module 4: Standard Data Types](https://codecodence.com/lessons/module-6-standard-data-types/) - Topics: o int, float, complex o bool, NoneType o str, list, tuple o dict, set, frozenset
- [Module 6: Looping Statements](https://codecodence.com/lessons/module-5-looping-statements/) - Topics: o While Loop o For Loop o Nested Loops o Pass, Break, and Continue keywords
- [Module 5: Python Conditional Statements](https://codecodence.com/lessons/module-4-python-conditional-statements/) - Topics: o If Statement o If-Else Statement o If-Elif Statement o If-Elif-Else Statement o Nested If Statement o Ternary Operator o Match Case Statements
- [Module 3: Python Language Fundamentals](https://codecodence.com/lessons/module-3-python-language-fundamentals/) - Topics: o Character Set o Keywords o Comments o Variables o Literals o Operators o Reading input from console o Parsing strings to int, float
- [Module 2: Writing and Executing Your First Python Program](https://codecodence.com/lessons/module-2-writing-and-executing-your-first-python-program/) - Topics: o Using Interactive Mode o Using Script Mode o General Text Editor and Command Window o IDLE Editor and IDLE Shell o Understanding the print() function o How to compile a Python program explicitly
- [Module 1: Introduction to Python](https://codecodence.com/lessons/module-1-introduction-to-python-2/) - Topics: o Why Python o Application Areas of Python o Python Implementations (Cpython, Jython, IronPython, PyPy) o Python Versions o Installing Python o Python Interpreter Architecture o Python Byte Code Compiler o Python Virtual Machine (PVM)

## Quizzes

- [Data Science Using Python(Final Quiz)Copy](https://codecodence.com/quizzes/data-science-using-pythonfinal-quizcopy-2/)
- [Power BICopy](https://codecodence.com/quizzes/power-bicopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [TableauCopy](https://codecodence.com/quizzes/tableaucopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [ADVANCE EXCELCopy](https://codecodence.com/quizzes/advance-excelcopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [VBA (Visual Basic for Applications)Copy](https://codecodence.com/quizzes/vba-visual-basic-for-applicationscopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Deep Learning & Neural NetworksCopy](https://codecodence.com/quizzes/deep-learning-neural-networkscopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [MACHINE LEARNINGCopy](https://codecodence.com/quizzes/machine-learningcopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [STATISTICSCopy](https://codecodence.com/quizzes/statisticscopy-4/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [PYTHON LIBRARIESCopy](https://codecodence.com/quizzes/python-librariescopy-4/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [SQL (Structured Query Language)Copy](https://codecodence.com/quizzes/sql-structured-query-languagecopy-4/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [PYTHONCopy](https://codecodence.com/quizzes/pythoncopy-4/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Data Science Using Python(Final Quiz)Copy](https://codecodence.com/quizzes/data-science-using-pythonfinal-quizcopy/)
- [Power BICopy](https://codecodence.com/quizzes/power-bicopy-2/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [TableauCopy](https://codecodence.com/quizzes/tableaucopy-2/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [VBA (Visual Basic for Applications)Copy](https://codecodence.com/quizzes/vba-visual-basic-for-applicationscopy-2/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Deep Learning & Neural NetworksCopy](https://codecodence.com/quizzes/deep-learning-neural-networkscopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [ADVANCE EXCELCopy](https://codecodence.com/quizzes/advance-excelcopy-2/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [MACHINE LEARNINGCopy](https://codecodence.com/quizzes/machine-learningcopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [STATISTICSCopy](https://codecodence.com/quizzes/statisticscopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [PYTHON LIBRARIESCopy](https://codecodence.com/quizzes/python-librariescopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [SQL (Structured Query Language)Copy](https://codecodence.com/quizzes/sql-structured-query-languagecopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [PYTHONCopy](https://codecodence.com/quizzes/pythoncopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [React JS Quizzes](https://codecodence.com/quizzes/react-js-quizzes/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Frontend Development Quizzes](https://codecodence.com/quizzes/frontend-development-quizzes/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Machine Learning and Deep Learning Final Quizzes](https://codecodence.com/quizzes/machine-learning-and-deep-learning-final-quizzes/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [AI Final Quizzes](https://codecodence.com/quizzes/ai-final-quizzes/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Business Analytics Final Quizzes](https://codecodence.com/quizzes/business-analytics-final-quizzes/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Deep Learning & Neural Networks Quizzes](https://codecodence.com/quizzes/deep-learning-neural-networks-quizzescopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Machine Learning Quizzes](https://codecodence.com/quizzes/machine-learning-quizzescopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Python Quizzes](https://codecodence.com/quizzes/python-quizzescopy-5/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Tableau Quizzes](https://codecodence.com/quizzes/tableau-quizzescopy-6/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Power BI Quizzes](https://codecodence.com/quizzes/power-bi-quizzescopy-5/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Excel Final Quizzes](https://codecodence.com/quizzes/advance-excel-quizzescopy-5/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Power BI Quizzes](https://codecodence.com/quizzes/power-bi-quizzescopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Tableau Quizzes](https://codecodence.com/quizzes/tableau-quizzescopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Advance Excel Quizzes](https://codecodence.com/quizzes/advance-excel-quizzescopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [SQL (Structured Query Language) Quizzes](https://codecodence.com/quizzes/sql-structured-query-language-quizzescopy-3/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Deep Learning & Neural Networks Quizzes](https://codecodence.com/quizzes/deep-learning-neural-networkscopy-2/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Machine Learning Quizzes](https://codecodence.com/quizzes/machine-learningcopy-2/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Python Libraries Quizzes](https://codecodence.com/quizzes/python-librariescopy-2/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Statistics Quizzes](https://codecodence.com/quizzes/statisticscopy-2/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [SQL (Structured Query Language) Quizzes](https://codecodence.com/quizzes/sql-structured-query-languagecopy-2/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Python Quizzes](https://codecodence.com/quizzes/pythoncopy-2/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [SQL (Structured Query Language) Quizzes](https://codecodence.com/quizzes/sql-structured-query-language-quizzescopy-2/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Python Quizzes](https://codecodence.com/quizzes/python-quizzescopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Power BI Quizzes](https://codecodence.com/quizzes/power-bicopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Tableau Quizzes](https://codecodence.com/quizzes/tableaucopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Advance Excel Quizzes](https://codecodence.com/quizzes/advance-excelcopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [VBA (Visual Basic for Applications) Quizzes](https://codecodence.com/quizzes/vba-visual-basic-for-applicationscopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Python Libraries Quizzes](https://codecodence.com/quizzes/python-librariescopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Statistics Quizzes](https://codecodence.com/quizzes/statisticscopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [SQL (Structured Query Language) Quizzes](https://codecodence.com/quizzes/sql-structured-query-languagecopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Python Quizzes](https://codecodence.com/quizzes/pythoncopy/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Power BI](https://codecodence.com/quizzes/power-bi/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Tableau](https://codecodence.com/quizzes/tableau/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [VBA (Visual Basic for Applications)](https://codecodence.com/quizzes/vba-visual-basic-for-applications/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [ADVANCE EXCEL](https://codecodence.com/quizzes/advance-excel/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Deep Learning & Neural Networks](https://codecodence.com/quizzes/deep-learning-neural-networks/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [MACHINE LEARNING](https://codecodence.com/quizzes/machine-learning/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [STATISTICS](https://codecodence.com/quizzes/statistics/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [PYTHON LIBRARIES](https://codecodence.com/quizzes/python-libraries/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [SQL (Structured Query Language)](https://codecodence.com/quizzes/sql-structured-query-language/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [PYTHON](https://codecodence.com/quizzes/python-quiz/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Data Analytics Final Quizzes](https://codecodence.com/quizzes/data-analytics-final-quizzes/) - Submission Guidelines: Ensure all questions are clear and concise. Provide balanced difficulty levels and align with course objectives. Verify accuracy and mention any external references used.
- [Data Science Using Python(Final Quiz)](https://codecodence.com/quizzes/data-science-using-pythonfinal-quiz/)

## Question Bank

- [Which of the following is a metric used for regression evaluation?Copy](https://codecodence.com/questions/which-of-the-following-is-a-metric-used-for-regression-evaluationcopy-2/)
- [Which of the following is not a machine learning algorithm?Copy](https://codecodence.com/questions/which-of-the-following-is-not-a-machine-learning-algorithmcopy-2/)
- [What is the purpose of gradient descent?Copy](https://codecodence.com/questions/what-is-the-purpose-of-gradient-descentcopy-2/)
- [What is the purpose of feature scaling?Copy](https://codecodence.com/questions/what-is-the-purpose-of-feature-scalingcopy-2/)
- [What is one-hot encoding used for?Copy](https://codecodence.com/questions/what-is-one-hot-encoding-used-forcopy-2/)
- [Which of the following is an example of supervised learning?Copy](https://codecodence.com/questions/which-of-the-following-is-an-example-of-supervised-learningcopy-2/) - Which of the following is an example of supervised learning?
- [What is cross-validation used for?Copy](https://codecodence.com/questions/what-is-cross-validation-used-forcopy-2/)
- [Which algorithm is used for dimensionality reduction?Copy](https://codecodence.com/questions/which-algorithm-is-used-for-dimensionality-reductioncopy-2/)
- [What is the goal of unsupervised learning?Copy](https://codecodence.com/questions/what-is-the-goal-of-unsupervised-learningcopy-2/)
- [30. What is the purpose of using slicers in Power BI?Copy](https://codecodence.com/questions/30-what-is-the-purpose-of-using-slicers-in-power-bicopy-3/)
- [43. Which of the following is a type of Power BI subscription?Copy](https://codecodence.com/questions/43-which-of-the-following-is-a-type-of-power-bi-subscriptioncopy-3/)
- [15. What does a "measure" in Power BI represent?Copy](https://codecodence.com/questions/15-what-does-a-measure-in-power-bi-representcopy-3/)
- [45. Which visualization would you use to show cumulative totals over time?Copy](https://codecodence.com/questions/45-which-visualization-would-you-use-to-show-cumulative-totals-over-timecopy-3/)
- [50. What feature in Power BI allows you to see how your visuals are performing?Copy](https://codecodence.com/questions/50-what-feature-in-power-bi-allows-you-to-see-how-your-visuals-are-performingcopy-3/)
- [12. What is the role of a Power BI dashboard?Copy](https://codecodence.com/questions/12-what-is-the-role-of-a-power-bi-dashboardcopy-3/)
- [36. Which feature allows for the importation of Excel data into Power BI?Copy](https://codecodence.com/questions/36-which-feature-allows-for-the-importation-of-excel-data-into-power-bicopy-3/)
- [11. Which visual is best for showing proportions of a whole?Copy](https://codecodence.com/questions/11-which-visual-is-best-for-showing-proportions-of-a-wholecopy-3/)
- [7. Which of the following is a method for filtering data in Power BI?Copy](https://codecodence.com/questions/7-which-of-the-following-is-a-method-for-filtering-data-in-power-bicopy-3/)
- [32. What is the "Data Model" in Power BI?Copy](https://codecodence.com/questions/32-what-is-the-data-model-in-power-bicopy-3/)
- [37. What is the role of a Power BI gateway?Copy](https://codecodence.com/questions/37-what-is-the-role-of-a-power-bi-gatewaycopy-3/)
- [23. Which visual type can show multiple measures in Power BI?Copy](https://codecodence.com/questions/23-which-visual-type-can-show-multiple-measures-in-power-bicopy-3/)
- [21. What is a "row-level security" in Power BI?Copy](https://codecodence.com/questions/21-what-is-a-row-level-security-in-power-bicopy-3/)
- [46. What does the "Refresh" button do in Power BI?Copy](https://codecodence.com/questions/46-what-does-the-refresh-button-do-in-power-bicopy-3/)
- [18. What is the default storage mode for data in Power BI?Copy](https://codecodence.com/questions/18-what-is-the-default-storage-mode-for-data-in-power-bicopy-3/)
- [22. What does the "Edit Queries" option allow you to do in Power BI?Copy](https://codecodence.com/questions/22-what-does-the-edit-queries-option-allow-you-to-do-in-power-bicopy-3/)
- [33. What does "Query Folding" do in Power BI?Copy](https://codecodence.com/questions/33-what-does-query-folding-do-in-power-bicopy-3/)
- [48. Which function would you use to combine text from different columns in DAX?Copy](https://codecodence.com/questions/48-which-function-would-you-use-to-combine-text-from-different-columns-in-daxcopy-3/)
- [16. Which Power BI component is used for sharing reports?Copy](https://codecodence.com/questions/16-which-power-bi-component-is-used-for-sharing-reportscopy-3/)
- [38. Which DAX function would you use to return the distinct values from a column?Copy](https://codecodence.com/questions/38-which-dax-function-would-you-use-to-return-the-distinct-values-from-a-columncopy-3/)
- [19. What does the "Drill Down" feature allow you to do in Power BI?Copy](https://codecodence.com/questions/19-what-does-the-drill-down-feature-allow-you-to-do-in-power-bicopy-3/)
- [44. What does the "Data View" in Power BI show?Copy](https://codecodence.com/questions/44-what-does-the-data-view-in-power-bi-showcopy-3/)
- [10. What does the "Power Query" editor do in Power BI?Copy](https://codecodence.com/questions/10-what-does-the-power-query-editor-do-in-power-bicopy-3/)
- [47. In Power BI, what is the use of the "Tooltip"?Copy](https://codecodence.com/questions/47-in-power-bi-what-is-the-use-of-the-tooltipcopy-3/)
- [8. What does the "Get Data" feature in Power BI allow you to do?Copy](https://codecodence.com/questions/8-what-does-the-get-data-feature-in-power-bi-allow-you-to-docopy-3/)
- [Which algorithm is used for clustering?Copy](https://codecodence.com/questions/which-algorithm-is-used-for-clusteringcopy-2/)
- [Which of the following is a reinforcement learning technique?Copy](https://codecodence.com/questions/which-of-the-following-is-a-reinforcement-learning-techniquecopy-2/)
- [What is the output of a classification algorithm?Copy](https://codecodence.com/questions/what-is-the-output-of-a-classification-algorithmcopy-2/)
- [What is a neural network?Copy](https://codecodence.com/questions/what-is-a-neural-networkcopy-2/)
- [What is the purpose of EDA (Exploratory Data Analysis)?Copy](https://codecodence.com/questions/what-is-the-purpose-of-eda-exploratory-data-analysiscopy-2/)
- [What is the F1-score?Copy](https://codecodence.com/questions/what-is-the-f1-scorecopy-2/)
- [What is the range of Pearson’s correlation coefficient?Copy](https://codecodence.com/questions/what-is-the-range-of-pearsons-correlation-coefficientcopy-2/)
- [What is ensemble learning?Copy](https://codecodence.com/questions/what-is-ensemble-learningcopy-2/)
- [What does overfitting indicate?Copy](https://codecodence.com/questions/what-does-overfitting-indicatecopy-2/)
- [What does NLP stand for?Copy](https://codecodence.com/questions/what-does-nlp-stand-forcopy-2/)
- [Which library is used for creating visualizations?Copy](https://codecodence.com/questions/which-library-is-used-for-creating-visualizationscopy-2/)
- [What does train_test_split do?Copy](https://codecodence.com/questions/what-does-train_test_split-docopy-2/)
- [Which method is used to select the best features?Copy](https://codecodence.com/questions/which-method-is-used-to-select-the-best-featurescopy-2/)
- [Which metric is used to evaluate classification models?Copy](https://codecodence.com/questions/which-metric-is-used-to-evaluate-classification-modelscopy-2/)
- [What is the purpose of normalization?Copy](https://codecodence.com/questions/what-is-the-purpose-of-normalizationcopy-2/)
- [What is the purpose of a validation set?Copy](https://codecodence.com/questions/what-is-the-purpose-of-a-validation-setcopy-2/)
- [Which type of algorithm is K-Means?Copy](https://codecodence.com/questions/which-type-of-algorithm-is-k-meanscopy-2/)
- [Which method is used to handle missing values in data?Copy](https://codecodence.com/questions/which-method-is-used-to-handle-missing-values-in-datacopy-2/)
- [Which of the following is a loss function used in regression?Copy](https://codecodence.com/questions/which-of-the-following-is-a-loss-function-used-in-regressioncopy-2/)
- [Which activation function outputs values between 0 and 1?Copy](https://codecodence.com/questions/which-activation-function-outputs-values-between-0-and-1copy-2/)
- [What is A/B testing?Copy](https://codecodence.com/questions/what-is-a-b-testingcopy-2/)
- [Which model is used for time series forecasting?Copy](https://codecodence.com/questions/which-model-is-used-for-time-series-forecastingcopy-2/)
- [Which Python library is commonly used for data manipulation?Copy](https://codecodence.com/questions/which-python-library-is-commonly-used-for-data-manipulationcopy-2/)
- [What is an outlier?Copy](https://codecodence.com/questions/what-is-an-outliercopy-2/)
- [What is a ROC curve?Copy](https://codecodence.com/questions/what-is-a-roc-curvecopy-2/)
- [What is the purpose of feature engineering?Copy](https://codecodence.com/questions/what-is-the-purpose-of-feature-engineeringcopy-2/)
- [Which of the following is a cloud platform for data science?Copy](https://codecodence.com/questions/which-of-the-following-is-a-cloud-platform-for-data-sciencecopy-2/)
- [What is the role of a confusion matrix?Copy](https://codecodence.com/questions/what-is-the-role-of-a-confusion-matrixcopy-2/)
- [What is a hyperparameter?Copy](https://codecodence.com/questions/what-is-a-hyperparametercopy-2/)
- [What is bagging?Copy](https://codecodence.com/questions/what-is-baggingcopy-2/)
- [Which technique is used to handle multicollinearity?Copy](https://codecodence.com/questions/which-technique-is-used-to-handle-multicollinearitycopy-2/)
- [Which type of plot is used to visualize the distribution of data?Copy](https://codecodence.com/questions/which-type-of-plot-is-used-to-visualize-the-distribution-of-datacopy-2/)
- [What is the output of a regression model?Copy](https://codecodence.com/questions/what-is-the-output-of-a-regression-modelcopy-2/)
- [What is the main purpose of data visualization?Copy](https://codecodence.com/questions/what-is-the-main-purpose-of-data-visualizationcopy-2/)
- [What is overfitting in machine learning?Copy](https://codecodence.com/questions/what-is-overfitting-in-machine-learningcopy-2/)
- [Which of the following models can handle both regression and classification?Copy](https://codecodence.com/questions/which-of-the-following-models-can-handle-both-regression-and-classificationcopy-2/)
- [Which method can handle imbalanced datasets?Copy](https://codecodence.com/questions/which-method-can-handle-imbalanced-datasetscopy-2/)
- [Which Python library is primarily used for machine learning?Copy](https://codecodence.com/questions/which-python-library-is-primarily-used-for-machine-learningcopy-2/)
- [Which of the following is a deep learning framework?Copy](https://codecodence.com/questions/which-of-the-following-is-a-deep-learning-frameworkcopy-2/)
- [Which technique is used to prevent overfitting?Copy](https://codecodence.com/questions/which-technique-is-used-to-prevent-overfittingcopy-2/)
- [What is Data Science?Copy](https://codecodence.com/questions/what-is-data-sciencecopy-2/)
- [19. Which of the following is a type of Tableau filter?Copy](https://codecodence.com/questions/19-which-of-the-following-is-a-type-of-tableau-filtercopy-3/)
- [31. Which of the following functions is used to create a running total in Tableau?Copy](https://codecodence.com/questions/31-which-of-the-following-functions-is-used-to-create-a-running-total-in-tableaucopy-3/)
- [8. What does the "Show Me" panel do in Tableau?Copy](https://codecodence.com/questions/8-what-does-the-show-me-panel-do-in-tableaucopy-3/)
- [27. What is the default file type for Tableau extracts?Copy](https://codecodence.com/questions/27-what-is-the-default-file-type-for-tableau-extractscopy-3/)
- [46. What does the "Size" shelf do in Tableau?Copy](https://codecodence.com/questions/46-what-does-the-size-shelf-do-in-tableaucopy-3/)
- [16. What is the use of "tooltips" in Tableau?Copy](https://codecodence.com/questions/16-what-is-the-use-of-tooltips-in-tableaucopy-3/)
- [43. What is the purpose of using "annotations" in Tableau?Copy](https://codecodence.com/questions/43-what-is-the-purpose-of-using-annotations-in-tableaucopy-3/)
- [30. What type of join does Tableau use when combining data from different sources?Copy](https://codecodence.com/questions/30-what-type-of-join-does-tableau-use-when-combining-data-from-different-sourcescopy-3/)
- [45. What is a "hierarchical field" in Tableau?Copy](https://codecodence.com/questions/45-what-is-a-hierarchical-field-in-tableaucopy-3/)
- [42. What is a "data extract" in Tableau?Copy](https://codecodence.com/questions/42-what-is-a-data-extract-in-tableaucopy-3/)
- [22. What does the "Data Source" tab in Tableau allow you to do?Copy](https://codecodence.com/questions/22-what-does-the-data-source-tab-in-tableau-allow-you-to-docopy-3/)
- [1. What is Tableau primarily used for?Copy](https://codecodence.com/questions/1-what-is-tableau-primarily-used-forcopy-3/)
- [7. What is the primary purpose of using "filters" in Tableau?Copy](https://codecodence.com/questions/7-what-is-the-primary-purpose-of-using-filters-in-tableaucopy-3/)
- [13. What is the purpose of using "groups" in Tableau?Copy](https://codecodence.com/questions/13-what-is-the-purpose-of-using-groups-in-tableaucopy-3/)
- [25. What is the purpose of "parameters" in Tableau?Copy](https://codecodence.com/questions/25-what-is-the-purpose-of-parameters-in-tableaucopy-3/)
- [6. What are dimensions in Tableau?Copy](https://codecodence.com/questions/6-what-are-dimensions-in-tableaucopy-3/)
- [10. What is the function of a "calculated field" in Tableau?Copy](https://codecodence.com/questions/10-what-is-the-function-of-a-calculated-field-in-tableaucopy-3/)
- [44. Which of the following visualizations is best for showing growth over time?Copy](https://codecodence.com/questions/44-which-of-the-following-visualizations-is-best-for-showing-growth-over-timecopy-3/)
- [3. What is the purpose of a "dashboard" in Tableau?Copy](https://codecodence.com/questions/3-what-is-the-purpose-of-a-dashboard-in-tableaucopy-3/)
- [50. Which visualization is best for displaying continuous data across a timeline?Copy](https://codecodence.com/questions/50-which-visualization-is-best-for-displaying-continuous-data-across-a-timelinecopy-3/)
- [39. What does the term "drill down" mean in Tableau?Copy](https://codecodence.com/questions/39-what-does-the-term-drill-down-mean-in-tableaucopy-3/)
- [17. Which function is used to count the number of distinct values in Tableau?Copy](https://codecodence.com/questions/17-which-function-is-used-to-count-the-number-of-distinct-values-in-tableaucopy-3/)
- [28. Which feature allows users to see how the dashboard performs?Copy](https://codecodence.com/questions/28-which-feature-allows-users-to-see-how-the-dashboard-performscopy-3/)
- [29. What does the "Analysis" menu in Tableau provide?Copy](https://codecodence.com/questions/29-what-does-the-analysis-menu-in-tableau-providecopy-3/)
- [4. What is a "worksheet" in Tableau?Copy](https://codecodence.com/questions/4-what-is-a-worksheet-in-tableaucopy-3/)
- [14. What does Tableau use to connect to live data sources?Copy](https://codecodence.com/questions/14-what-does-tableau-use-to-connect-to-live-data-sourcescopy-3/)
- [9. Which chart type is best for showing parts of a whole in Tableau?Copy](https://codecodence.com/questions/9-which-chart-type-is-best-for-showing-parts-of-a-whole-in-tableaucopy-3/)
- [33. Which chart is suitable for visualizing hierarchical data?Copy](https://codecodence.com/questions/33-which-chart-is-suitable-for-visualizing-hierarchical-datacopy-3/)
- [49. What feature in Tableau allows you to display the data in a textual format alongside visualizations?Copy](https://codecodence.com/questions/49-what-feature-in-tableau-allows-you-to-display-the-data-in-a-textual-format-alongside-visualizationscopy-3/)
- [23. What is "table calculation" in Tableau?Copy](https://codecodence.com/questions/23-what-is-table-calculation-in-tableaucopy-3/)
- [12. Which of the following visualizations can show trends over time?Copy](https://codecodence.com/questions/12-which-of-the-following-visualizations-can-show-trends-over-timecopy-3/)
- [37. Which of the following allows you to create a conditional formatting rule in Tableau?Copy](https://codecodence.com/questions/37-which-of-the-following-allows-you-to-create-a-conditional-formatting-rule-in-tableaucopy-3/)
- [20. What is a "story" in Tableau?Copy](https://codecodence.com/questions/20-what-is-a-story-in-tableaucopy-3/)
- [34. What does the "Color" shelf in Tableau do?Copy](https://codecodence.com/questions/34-what-does-the-color-shelf-in-tableau-docopy-3/)
- [42. What does the "Visualizations" pane do in Power BI?Copy](https://codecodence.com/questions/42-what-does-the-visualizations-pane-do-in-power-bicopy-3/)
- [29. Which type of chart is used for comparing values across categories?Copy](https://codecodence.com/questions/29-which-type-of-chart-is-used-for-comparing-values-across-categoriescopy-3/)
- [41. Which visual can show both categorical and time-based data?Copy](https://codecodence.com/questions/41-which-visual-can-show-both-categorical-and-time-based-datacopy-3/)
- [6. What is DAX in Power BI?Copy](https://codecodence.com/questions/6-what-is-dax-in-power-bicopy-3/)
- [13. Which of the following is a type of relationship you can define in Power BI?Copy](https://codecodence.com/questions/13-which-of-the-following-is-a-type-of-relationship-you-can-define-in-power-bicopy-3/)
- [34. Which of the following is NOT a visualization option in Power BI?Copy](https://codecodence.com/questions/34-which-of-the-following-is-not-a-visualization-option-in-power-bicopy-3/)
- [49. What does the "Power BI App" allow users to do?Copy](https://codecodence.com/questions/49-what-does-the-power-bi-app-allow-users-to-docopy-3/)
- [5. Which visual is used to display data trends over time in Power BI?Copy](https://codecodence.com/questions/5-which-visual-is-used-to-display-data-trends-over-time-in-power-bicopy-3/)
- [20. Which function is used to calculate the average in DAX?Copy](https://codecodence.com/questions/20-which-function-is-used-to-calculate-the-average-in-daxcopy-3/)
- [27. Which of the following functions is used to count non-empty cells in DAX?Copy](https://codecodence.com/questions/27-which-of-the-following-functions-is-used-to-count-non-empty-cells-in-daxcopy-3/)
- [24. What is the purpose of the "Relationships" view in Power BI?Copy](https://codecodence.com/questions/24-what-is-the-purpose-of-the-relationships-view-in-power-bicopy-3/)
- [3. What is the primary file format for Power BI reports?Copy](https://codecodence.com/questions/3-what-is-the-primary-file-format-for-power-bi-reportscopy-3/)
- [1. What is Power BI primarily used for?Copy](https://codecodence.com/questions/1-what-is-power-bi-primarily-used-forcopy-3/)
- [35. What is the purpose of a "what-if parameter" in Power BI?Copy](https://codecodence.com/questions/35-what-is-the-purpose-of-a-what-if-parameter-in-power-bicopy-3/)
- [40. What is the "Model" view used for in Power BI?Copy](https://codecodence.com/questions/40-what-is-the-model-view-used-for-in-power-bicopy-3/)
- [26. What is a "dashboard tile" in Power BI?Copy](https://codecodence.com/questions/26-what-is-a-dashboard-tile-in-power-bicopy-3/)
- [31. Which of the following is a Power BI desktop file type?Copy](https://codecodence.com/questions/31-which-of-the-following-is-a-power-bi-desktop-file-typecopy-3/)
- [9. What is the use of bookmarks in Power BI?Copy](https://codecodence.com/questions/9-what-is-the-use-of-bookmarks-in-power-bicopy-3/)
- [17. Which type of filtering can be applied at the visual level in Power BI?Copy](https://codecodence.com/questions/17-which-type-of-filtering-can-be-applied-at-the-visual-level-in-power-bicopy-3/)
- [4. What type of data sources can Power BI connect to?Copy](https://codecodence.com/questions/4-what-type-of-data-sources-can-power-bi-connect-tocopy-3/)
- [14. What feature allows you to create calculated columns in Power BI?Copy](https://codecodence.com/questions/14-what-feature-allows-you-to-create-calculated-columns-in-power-bicopy-3/)
- [25. What does the term "data modeling" refer to in Power BI?Copy](https://codecodence.com/questions/25-what-does-the-term-data-modeling-refer-to-in-power-bicopy-3/)
- [2. Which of the following components is NOT part of Power BI?Copy](https://codecodence.com/questions/2-which-of-the-following-components-is-not-part-of-power-bicopy-3/)
- [39. What is the purpose of using a "Tree Map" in Power BI?Copy](https://codecodence.com/questions/39-what-is-the-purpose-of-using-a-tree-map-in-power-bicopy-3/)
- [28. What does the "Publish" feature in Power BI do?Copy](https://codecodence.com/questions/28-what-does-the-publish-feature-in-power-bi-docopy-3/)
- [10. What does the Dim keyword do in VBA?Copy](https://codecodence.com/questions/10-what-does-the-dim-keyword-do-in-vbacopy-3/)
- [45. Which statement is used to declare a constant in VBA?Copy](https://codecodence.com/questions/45-which-statement-is-used-to-declare-a-constant-in-vbacopy-3/)
- [18. Which of the following is a valid way to create an array in VBA?Copy](https://codecodence.com/questions/18-which-of-the-following-is-a-valid-way-to-create-an-array-in-vbacopy-3/)
- [37. How can you prompt a user for input in VBA?Copy](https://codecodence.com/questions/37-how-can-you-prompt-a-user-for-input-in-vbacopy-3/)
- [25. What is the purpose of the With statement in VBA?Copy](https://codecodence.com/questions/25-what-is-the-purpose-of-the-with-statement-in-vbacopy-3/)
- [14. What is the purpose of the If...Then...Else statement in VBA?Copy](https://codecodence.com/questions/14-what-is-the-purpose-of-the-if-then-else-statement-in-vbacopy-3/)
- [27. What does the ActiveCell property refer to in VBA?Copy](https://codecodence.com/questions/27-what-does-the-activecell-property-refer-to-in-vbacopy-3/)
- [24. What is the purpose of the Set keyword in VBA?Copy](https://codecodence.com/questions/24-what-is-the-purpose-of-the-set-keyword-in-vbacopy-3/)
- [11. Which of the following is NOT a data type in VBA?Copy](https://codecodence.com/questions/11-which-of-the-following-is-not-a-data-type-in-vbacopy-3/)
- [39. What does the Public keyword indicate in VBA?Copy](https://codecodence.com/questions/39-what-does-the-public-keyword-indicate-in-vbacopy-3/)
- [23. Which of the following loops will run indefinitely?Copy](https://codecodence.com/questions/23-which-of-the-following-loops-will-run-indefinitelycopy-3/)
- [44. How do you refer to a cell in a different worksheet using VBA?Copy](https://codecodence.com/questions/44-how-do-you-refer-to-a-cell-in-a-different-worksheet-using-vbacopy-3/)
- [1. What does VBA stand for?Copy](https://codecodence.com/questions/1-what-does-vba-stand-forcopy-3/)
- [9. Which function is used to convert a string to a number in VBA?Copy](https://codecodence.com/questions/9-which-function-is-used-to-convert-a-string-to-a-number-in-vbacopy-3/)
- [4. What is the purpose of the Sub keyword in VBA?Copy](https://codecodence.com/questions/4-what-is-the-purpose-of-the-sub-keyword-in-vbacopy-3/)
- [2. Which Microsoft application is commonly associated with VBA?Copy](https://codecodence.com/questions/2-which-microsoft-application-is-commonly-associated-with-vbacopy-3/)
- [36. What does the Do Until...Loop statement do in VBA?Copy](https://codecodence.com/questions/36-what-does-the-do-until-loop-statement-do-in-vbacopy-3/)
- [33. What is the purpose of the Array function in VBA?Copy](https://codecodence.com/questions/33-what-is-the-purpose-of-the-array-function-in-vbacopy-3/)
- [19. What does the Do While...Loop statement do in VBA?Copy](https://codecodence.com/questions/19-what-does-the-do-while-loop-statement-do-in-vbacopy-3/)
- [46. What is the output of the following code? MsgBox 2 + 2Copy](https://codecodence.com/questions/46-what-is-the-output-of-the-following-code-msgbox-2-2copy-3/)
- [30. Which function is used to find the length of a string in VBA?Copy](https://codecodence.com/questions/30-which-function-is-used-to-find-the-length-of-a-string-in-vbacopy-3/)
- [42. Which of the following can be used to store multiple values in a single variable?Copy](https://codecodence.com/questions/42-which-of-the-following-can-be-used-to-store-multiple-values-in-a-single-variablecopy-3/)
- [15. Which of the following keywords is used to create a function in VBA?Copy](https://codecodence.com/questions/15-which-of-the-following-keywords-is-used-to-create-a-function-in-vbacopy-3/)
- [49. How can you declare an object variable in VBA?Copy](https://codecodence.com/questions/49-how-can-you-declare-an-object-variable-in-vbacopy-3/)
- [17. How can you refer to a cell in an Excel worksheet using VBA?Copy](https://codecodence.com/questions/17-how-can-you-refer-to-a-cell-in-an-excel-worksheet-using-vbacopy-3/)
- [16. What does the Select Case statement do in VBA?Copy](https://codecodence.com/questions/16-what-does-the-select-case-statement-do-in-vbacopy-3/)
- [35. What is the correct way to refer to the second sheet in a workbook?Copy](https://codecodence.com/questions/35-what-is-the-correct-way-to-refer-to-the-second-sheet-in-a-workbookcopy-3/)
- [28. How do you concatenate strings in VBA?Copy](https://codecodence.com/questions/28-how-do-you-concatenate-strings-in-vbacopy-3/)
- [8. What is the correct way to comment a line in VBA?Copy](https://codecodence.com/questions/8-what-is-the-correct-way-to-comment-a-line-in-vbacopy-3/)
- [31. What is the purpose of the End Sub statement in VBA?Copy](https://codecodence.com/questions/31-what-is-the-purpose-of-the-end-sub-statement-in-vbacopy-3/)
- [38. Which event is triggered when a workbook is opened in Excel?Copy](https://codecodence.com/questions/38-which-event-is-triggered-when-a-workbook-is-opened-in-excelcopy-3/)
- [40. What does the Private keyword indicate in VBA?Copy](https://codecodence.com/questions/40-what-does-the-private-keyword-indicate-in-vbacopy-3/)
- [48. What does the WorksheetFunction object provide in VBA?Copy](https://codecodence.com/questions/48-what-does-the-worksheetfunction-object-provide-in-vbacopy-3/)
- [22. How do you access a property of an object in VBA?Copy](https://codecodence.com/questions/22-how-do-you-access-a-property-of-an-object-in-vbacopy-3/)
- [47. Which of the following will NOT trigger a macro?Copy](https://codecodence.com/questions/47-which-of-the-following-will-not-trigger-a-macrocopy-3/)
- [32. How do you convert a string to uppercase in VBA?Copy](https://codecodence.com/questions/32-how-do-you-convert-a-string-to-uppercase-in-vbacopy-3/)
- [13. How do you declare a constant in VBA?Copy](https://codecodence.com/questions/13-how-do-you-declare-a-constant-in-vbacopy-3/)
- [21. What does the Application object represent in VBA?Copy](https://codecodence.com/questions/21-what-does-the-application-object-represent-in-vbacopy-3/)
- [11. What does the term "data blending" refer to in Tableau?Copy](https://codecodence.com/questions/11-what-does-the-term-data-blending-refer-to-in-tableaucopy-3/)
- [36. What is a "scatter plot" used for in Tableau?Copy](https://codecodence.com/questions/36-what-is-a-scatter-plot-used-for-in-tableaucopy-3/)
- [41. Which Tableau feature helps in version control and collaboration?Copy](https://codecodence.com/questions/41-which-tableau-feature-helps-in-version-control-and-collaborationcopy-3/)
- [38. What is the purpose of a "reference line" in Tableau?Copy](https://codecodence.com/questions/38-what-is-the-purpose-of-a-reference-line-in-tableaucopy-3/)
- [2. Which file extension is associated with Tableau workbooks?Copy](https://codecodence.com/questions/2-which-file-extension-is-associated-with-tableau-workbookscopy-3/)
- [32. What is the main advantage of using Tableau Server?Copy](https://codecodence.com/questions/32-what-is-the-main-advantage-of-using-tableau-servercopy-3/)
- [24. Which chart is best for visualizing frequency distribution?Copy](https://codecodence.com/questions/24-which-chart-is-best-for-visualizing-frequency-distributioncopy-3/)
- [18. What does a "heat map" in Tableau show?Copy](https://codecodence.com/questions/18-what-does-a-heat-map-in-tableau-showcopy-3/)
- [40. Which visualization would you use to show a relationship between multiple measures?Copy](https://codecodence.com/questions/40-which-visualization-would-you-use-to-show-a-relationship-between-multiple-measurescopy-3/)
- [35. Which of the following is a benefit of using Tableau Public?Copy](https://codecodence.com/questions/35-which-of-the-following-is-a-benefit-of-using-tableau-publiccopy-3/)
- [15. What type of chart is best for comparing values across categories?Copy](https://codecodence.com/questions/15-what-type-of-chart-is-best-for-comparing-values-across-categoriescopy-3/)
- [5. Which of the following is NOT a Tableau data connection type?Copy](https://codecodence.com/questions/5-which-of-the-following-is-not-a-tableau-data-connection-typecopy-3/)
- [48. Which type of Tableau file is compressed and packaged for sharing?Copy](https://codecodence.com/questions/48-which-type-of-tableau-file-is-compressed-and-packaged-for-sharingcopy-3/)
- [47. What is the purpose of using "data roles" in Tableau?Copy](https://codecodence.com/questions/47-what-is-the-purpose-of-using-data-roles-in-tableaucopy-3/)
- [21. Which Tableau feature allows for interactive filtering of data in dashboards?Copy](https://codecodence.com/questions/21-which-tableau-feature-allows-for-interactive-filtering-of-data-in-dashboardscopy-3/)
- [26. Which of the following is NOT a Tableau product?Copy](https://codecodence.com/questions/26-which-of-the-following-is-not-a-tableau-productcopy-3/)
- [46. Which of the following functions can return the current time?Copy](https://codecodence.com/questions/46-which-of-the-following-functions-can-return-the-current-timecopy-3/)
- [42. What does the RANDBETWEEN function do?Copy](https://codecodence.com/questions/42-what-does-the-randbetween-function-docopy-3/)
- [43. What is the primary purpose of using pivot charts?Copy](https://codecodence.com/questions/43-what-is-the-primary-purpose-of-using-pivot-chartscopy-3/)
- [12. What is the purpose of the TEXT function?Copy](https://codecodence.com/questions/12-what-is-the-purpose-of-the-text-functioncopy-3/)
- [15. Which function is used to calculate the average of a range of numbers?Copy](https://codecodence.com/questions/15-which-function-is-used-to-calculate-the-average-of-a-range-of-numberscopy-3/)
- [30. Which feature allows you to automatically fill cells with data based on a pattern?Copy](https://codecodence.com/questions/30-which-feature-allows-you-to-automatically-fill-cells-with-data-based-on-a-patterncopy-3/)
- [33. Which function can be used to calculate the standard deviation?Copy](https://codecodence.com/questions/33-which-function-can-be-used-to-calculate-the-standard-deviationcopy-3/)
- [23. Which feature allows you to combine multiple cells into one?Copy](https://codecodence.com/questions/23-which-feature-allows-you-to-combine-multiple-cells-into-onecopy-3/)
- [27. What is the shortcut for copying formatting in Excel?Copy](https://codecodence.com/questions/27-what-is-the-shortcut-for-copying-formatting-in-excelcopy-3/)
- [38. What does the OFFSET function do?Copy](https://codecodence.com/questions/38-what-does-the-offset-function-docopy-3/)
- [24. What is the purpose of a scatter plot?Copy](https://codecodence.com/questions/24-what-is-the-purpose-of-a-scatter-plotcopy-3/)
- [16. What is the shortcut to open the Format Cells dialog box?Copy](https://codecodence.com/questions/16-what-is-the-shortcut-to-open-the-format-cells-dialog-boxcopy-3/)
- [6. What is the purpose of a Pivot Table?Copy](https://codecodence.com/questions/6-what-is-the-purpose-of-a-pivot-tablecopy-3/)
- [44. Which tool can help analyze the impact of changing variables in formulas?Copy](https://codecodence.com/questions/44-which-tool-can-help-analyze-the-impact-of-changing-variables-in-formulascopy-3/)
- [39. What does the ARRAY formula allow you to do?Copy](https://codecodence.com/questions/39-what-does-the-array-formula-allow-you-to-docopy-3/)
- [50. What does the XLOOKUP function do?Copy](https://codecodence.com/questions/50-what-does-the-xlookup-function-docopy-3/)
- [9. How can you protect a worksheet from editing?Copy](https://codecodence.com/questions/9-how-can-you-protect-a-worksheet-from-editingcopy-3/)
- [32. What is the default file extension for an Excel workbook?Copy](https://codecodence.com/questions/32-what-is-the-default-file-extension-for-an-excel-workbookcopy-3/)
- [11. Which function can be used to return the current date?Copy](https://codecodence.com/questions/11-which-function-can-be-used-to-return-the-current-datecopy-3/)
- [28. Which function returns the smallest value in a range?Copy](https://codecodence.com/questions/28-which-function-returns-the-smallest-value-in-a-rangecopy-3/)
- [14. What does the COUNTIF function do?Copy](https://codecodence.com/questions/14-what-does-the-countif-function-docopy-3/)
- [17. Which function can be used to join text from multiple cells?Copy](https://codecodence.com/questions/17-which-function-can-be-used-to-join-text-from-multiple-cellscopy-3/)
- [36. What does the LEN function do?Copy](https://codecodence.com/questions/36-what-does-the-len-function-docopy-3/)
- [18. What is the purpose of conditional formatting?Copy](https://codecodence.com/questions/18-what-is-the-purpose-of-conditional-formattingcopy-3/)
- [35. Which chart type is best for showing trends over time?Copy](https://codecodence.com/questions/35-which-chart-type-is-best-for-showing-trends-over-timecopy-3/)
- [41. Which function is used to calculate the number of working days between two dates?Copy](https://codecodence.com/questions/41-which-function-is-used-to-calculate-the-number-of-working-days-between-two-datescopy-3/)
- [45. What does the TRIM function do?Copy](https://codecodence.com/questions/45-what-does-the-trim-function-docopy-3/)
- [2. What does the CONCATENATE function do?Copy](https://codecodence.com/questions/2-what-does-the-concatenate-function-docopy-3/)
- [3. What is the purpose of the IF function?Copy](https://codecodence.com/questions/3-what-is-the-purpose-of-the-if-functioncopy-3/)
- [26. What does the PMT function calculate?Copy](https://codecodence.com/questions/26-what-does-the-pmt-function-calculatecopy-3/)
- [1. Which function is used to look up values in a table?Copy](https://codecodence.com/questions/1-which-function-is-used-to-look-up-values-in-a-tablecopy-3/)
- [19. Which tool allows for advanced data analysis and manipulation?Copy](https://codecodence.com/questions/19-which-tool-allows-for-advanced-data-analysis-and-manipulationcopy-3/)
- [8. Which formula can be used to find the highest value in a range?Copy](https://codecodence.com/questions/8-which-formula-can-be-used-to-find-the-highest-value-in-a-rangecopy-3/)
- [22. What does the ROUND function do?Copy](https://codecodence.com/questions/22-what-does-the-round-function-docopy-3/)
- [7. What does the SUMIF function do?Copy](https://codecodence.com/questions/7-what-does-the-sumif-function-docopy-3/)
- [29. What does the SUMPRODUCT function do?Copy](https://codecodence.com/questions/29-what-does-the-sumproduct-function-docopy-3/)
- [37. Which function is used to retrieve data from a database?Copy](https://codecodence.com/questions/37-which-function-is-used-to-retrieve-data-from-a-databasecopy-3/)
- [34. What is the purpose of the IFERROR function?Copy](https://codecodence.com/questions/34-what-is-the-purpose-of-the-iferror-functioncopy-3/)
- [4. What type of chart is best for showing parts of a whole?Copy](https://codecodence.com/questions/4-what-type-of-chart-is-best-for-showing-parts-of-a-wholecopy-3/)
- [40. What is the purpose of a dashboard in Excel?Copy](https://codecodence.com/questions/40-what-is-the-purpose-of-a-dashboard-in-excelcopy-3/)
- [25. Which function is used to determine if a value is an error?Copy](https://codecodence.com/questions/25-which-function-is-used-to-determine-if-a-value-is-an-errorcopy-3/)
- [20. What does the INDIRECT function do?Copy](https://codecodence.com/questions/20-what-does-the-indirect-function-docopy-3/)
- [31. What does the SUBSTITUTE function do?Copy](https://codecodence.com/questions/31-what-does-the-substitute-function-docopy-3/)
- [21. Which of the following is used to create a data table?Copy](https://codecodence.com/questions/21-which-of-the-following-is-used-to-create-a-data-tablecopy-3/)
- [49. Which feature allows you to apply complex filters to your data?Copy](https://codecodence.com/questions/49-which-feature-allows-you-to-apply-complex-filters-to-your-datacopy-3/)
- [10. What is the shortcut for adding a new worksheet in Excel?Copy](https://codecodence.com/questions/10-what-is-the-shortcut-for-adding-a-new-worksheet-in-excelcopy-3/)
- [47. What is the function of the Freeze Panes feature?Copy](https://codecodence.com/questions/47-what-is-the-function-of-the-freeze-panes-featurecopy-3/)
- [13. Which of the following can be used to create a drop-down list?Copy](https://codecodence.com/questions/13-which-of-the-following-can-be-used-to-create-a-drop-down-listcopy-3/)
- [5. Which feature allows you to see all data in a worksheet?Copy](https://codecodence.com/questions/5-which-feature-allows-you-to-see-all-data-in-a-worksheetcopy-3/)
- [48. What does the MATCH function return?Copy](https://codecodence.com/questions/48-what-does-the-match-function-returncopy-3/)
- [26. How do you create a UserForm in VBA?Copy](https://codecodence.com/questions/26-how-do-you-create-a-userform-in-vbacopy-3/)
- [3. Which of the following is a valid way to declare a variable in VBA?Copy](https://codecodence.com/questions/3-which-of-the-following-is-a-valid-way-to-declare-a-variable-in-vbacopy-3/)
- [41. What does the Private keyword indicate in VBA?Copy](https://codecodence.com/questions/41-what-does-the-private-keyword-indicate-in-vbacopy-3/)
- [5. How do you create a message box in VBA?Copy](https://codecodence.com/questions/5-how-do-you-create-a-message-box-in-vbacopy-3/)
- [20. Which of the following is used to handle errors in VBA?Copy](https://codecodence.com/questions/20-which-of-the-following-is-used-to-handle-errors-in-vbacopy-3/)
- [7. What is the purpose of the For...Next loop in VBA?Copy](https://codecodence.com/questions/7-what-is-the-purpose-of-the-for-next-loop-in-vbacopy-3/)
- [29. What does the Range object represent in VBA?Copy](https://codecodence.com/questions/29-what-does-the-range-object-represent-in-vbacopy-3/)
- [50. What is the purpose of the End statement in VBA?Copy](https://codecodence.com/questions/50-what-is-the-purpose-of-the-end-statement-in-vbacopy-3/)
- [43. What does the FileDialog object do in VBA?Copy](https://codecodence.com/questions/43-what-does-the-filedialog-object-do-in-vbacopy-3/)
- [6. Which of the following statements is used to end a loop in VBA?Copy](https://codecodence.com/questions/6-which-of-the-following-statements-is-used-to-end-a-loop-in-vbacopy-3/)
- [34. Which property of the Worksheet object allows you to hide a worksheet?Copy](https://codecodence.com/questions/34-which-property-of-the-worksheet-object-allows-you-to-hide-a-worksheetcopy-3/)
- [12. What does the MsgBox function return?Copy](https://codecodence.com/questions/12-what-does-the-msgbox-function-returncopy-3/)
- [7. What is the purpose of feature scaling in machine learning?Copy](https://codecodence.com/questions/7-what-is-the-purpose-of-feature-scaling-in-machine-learningcopy-3/)
- [40. Which of the following is NOT a type of neural network architecture?Copy](https://codecodence.com/questions/40-which-of-the-following-is-not-a-type-of-neural-network-architecturecopy-3/)
- [30. What is the purpose of normalization in data preprocessing?Copy](https://codecodence.com/questions/30-what-is-the-purpose-of-normalization-in-data-preprocessingcopy-3/)
- [42. Which of the following is a popular Python library for machine learning?Copy](https://codecodence.com/questions/42-which-of-the-following-is-a-popular-python-library-for-machine-learningcopy-3/)
- [10. What does the term 'backpropagation' refer to?Copy](https://codecodence.com/questions/10-what-does-the-term-backpropagation-refer-tocopy-3/)
- [3. What is the purpose of an activation function in a neural network?Copy](https://codecodence.com/questions/3-what-is-the-purpose-of-an-activation-function-in-a-neural-networkcopy-3/)
- [44. Which neural network architecture is particularly effective for time-series prediction?Copy](https://codecodence.com/questions/44-which-neural-network-architecture-is-particularly-effective-for-time-series-predictioncopy-3/)
- [39. Which of the following is a common application of deep learning?Copy](https://codecodence.com/questions/39-which-of-the-following-is-a-common-application-of-deep-learningcopy-3/)
- [14. What does LSTM stand for?Copy](https://codecodence.com/questions/14-what-does-lstm-stand-forcopy-3/)
- [49. What is the output of a neural network with a Softmax activation function?Copy](https://codecodence.com/questions/49-what-is-the-output-of-a-neural-network-with-a-softmax-activation-functioncopy-3/)
- [24. Which of the following can be considered a hyperparameter?Copy](https://codecodence.com/questions/24-which-of-the-following-can-be-considered-a-hyperparametercopy-3/)
- [19. What is batch normalization used for in deep learning?Copy](https://codecodence.com/questions/19-what-is-batch-normalization-used-for-in-deep-learningcopy-3/)
- [32. What is the role of a fully connected layer in a neural network?Copy](https://codecodence.com/questions/32-what-is-the-role-of-a-fully-connected-layer-in-a-neural-networkcopy-3/)
- [47. What is the main purpose of using dropout layers during training?Copy](https://codecodence.com/questions/47-what-is-the-main-purpose-of-using-dropout-layers-during-trainingcopy-3/)
- [22. What is the primary purpose of a loss function in deep learning?Copy](https://codecodence.com/questions/22-what-is-the-primary-purpose-of-a-loss-function-in-deep-learningcopy-3/)
- [7. Which of the following is NOT a type of layer in a neural network?Copy](https://codecodence.com/questions/7-which-of-the-following-is-not-a-type-of-layer-in-a-neural-networkcopy-3/)
- [2. Which of the following is a commonly used activation function?Copy](https://codecodence.com/questions/2-which-of-the-following-is-a-commonly-used-activation-functioncopy-3/)
- [42. What is a common challenge when training deep neural networks?Copy](https://codecodence.com/questions/42-what-is-a-common-challenge-when-training-deep-neural-networkscopy-3/)
- [9. Which algorithm is commonly used for training deep learning models?Copy](https://codecodence.com/questions/9-which-algorithm-is-commonly-used-for-training-deep-learning-modelscopy-3/)
- [23. Which of the following is NOT a common loss function for deep learning?Copy](https://codecodence.com/questions/23-which-of-the-following-is-not-a-common-loss-function-for-deep-learningcopy-3/)
- [28. What is the function of a loss landscape in deep learning?Copy](https://codecodence.com/questions/28-what-is-the-function-of-a-loss-landscape-in-deep-learningcopy-3/)
- [40. What is the primary function of a Softmax activation function?Copy](https://codecodence.com/questions/40-what-is-the-primary-function-of-a-softmax-activation-functioncopy-3/)
- [43. Which of the following techniques is commonly used for model evaluation in deep learning?Copy](https://codecodence.com/questions/43-which-of-the-following-techniques-is-commonly-used-for-model-evaluation-in-deep-learningcopy-3/)
- [33. Which technique is used to improve the generalization of deep learning models?Copy](https://codecodence.com/questions/33-which-technique-is-used-to-improve-the-generalization-of-deep-learning-modelscopy-3/)
- [25. What is a common use case for Recurrent Neural Networks (RNNs)?Copy](https://codecodence.com/questions/25-what-is-a-common-use-case-for-recurrent-neural-networks-rnnscopy-3/)
- [11. Which of the following is a popular framework for deep learning?Copy](https://codecodence.com/questions/11-which-of-the-following-is-a-popular-framework-for-deep-learningcopy-3/)
- [30. What is the purpose of using an optimizer in deep learning?Copy](https://codecodence.com/questions/30-what-is-the-purpose-of-using-an-optimizer-in-deep-learningcopy-3/)
- [35. Which of the following describes a "dropout" layer in a neural network?Copy](https://codecodence.com/questions/35-which-of-the-following-describes-a-dropout-layer-in-a-neural-networkcopy-3/)
- [6. What is a convolution in a Convolutional Neural Network (CNN)?Copy](https://codecodence.com/questions/6-what-is-a-convolution-in-a-convolutional-neural-network-cnncopy-3/)
- [41. In deep learning, what does the term 'fine-tuning' refer to?Copy](https://codecodence.com/questions/41-in-deep-learning-what-does-the-term-fine-tuning-refer-tocopy-3/)
- [18. What type of data can CNNs process effectively?Copy](https://codecodence.com/questions/18-what-type-of-data-can-cnns-process-effectivelycopy-3/)
- [46. Which of the following is a method to initialize weights in deep learning?Copy](https://codecodence.com/questions/46-which-of-the-following-is-a-method-to-initialize-weights-in-deep-learningcopy-3/)
- [4. Which type of neural network is primarily used for image recognition tasks?Copy](https://codecodence.com/questions/4-which-type-of-neural-network-is-primarily-used-for-image-recognition-taskscopy-3/)
- [37. What type of neural network is best for generating new data samples?Copy](https://codecodence.com/questions/37-what-type-of-neural-network-is-best-for-generating-new-data-samplescopy-3/)
- [8. What is the purpose of pooling layers in CNNs?Copy](https://codecodence.com/questions/8-what-is-the-purpose-of-pooling-layers-in-cnnscopy-3/)
- [1. What is deep learning?Copy](https://codecodence.com/questions/1-what-is-deep-learningcopy-3/)
- [38. Which of the following is a common application of deep learning?Copy](https://codecodence.com/questions/38-which-of-the-following-is-a-common-application-of-deep-learningcopy-3/)
- [21. Which of the following techniques is used for data augmentation?Copy](https://codecodence.com/questions/21-which-of-the-following-techniques-is-used-for-data-augmentationcopy-3/)
- [17. What is transfer learning?Copy](https://codecodence.com/questions/17-what-is-transfer-learningcopy-3/)
- [12. What is the purpose of dropout in deep learning?Copy](https://codecodence.com/questions/12-what-is-the-purpose-of-dropout-in-deep-learningcopy-3/)
- [26. What does the term 'exploding gradients' refer to?Copy](https://codecodence.com/questions/26-what-does-the-term-exploding-gradients-refer-tocopy-3/)
- [5. What does the term 'overfitting' refer to in the context of deep learning?Copy](https://codecodence.com/questions/5-what-does-the-term-overfitting-refer-to-in-the-context-of-deep-learningcopy-3/)
- [50. What is the key difference between a traditional neural network and a convolutional neural network?Copy](https://codecodence.com/questions/50-what-is-the-key-difference-between-a-traditional-neural-network-and-a-convolutional-neural-networkcopy-3/)
- [36. What is the role of the input layer in a neural network?Copy](https://codecodence.com/questions/36-what-is-the-role-of-the-input-layer-in-a-neural-networkcopy-3/)
- [20. What does 'vanishing gradient problem' refer to?Copy](https://codecodence.com/questions/20-what-does-vanishing-gradient-problem-refer-tocopy-3/)
- [13. What is a Generative Adversarial Network (GAN)?Copy](https://codecodence.com/questions/13-what-is-a-generative-adversarial-network-gancopy-3/)
- [45. What does 'regularization' do in deep learning?Copy](https://codecodence.com/questions/45-what-does-regularization-do-in-deep-learningcopy-3/)
- [31. Which activation function is commonly used in the output layer for binary classification?Copy](https://codecodence.com/questions/31-which-activation-function-is-commonly-used-in-the-output-layer-for-binary-classificationcopy-3/)
- [27. Which of the following is a characteristic of a Convolutional Neural Network (CNN)?Copy](https://codecodence.com/questions/27-which-of-the-following-is-a-characteristic-of-a-convolutional-neural-network-cnncopy-3/)
- [34. What is the main advantage of using deep learning over traditional machine learning methods?Copy](https://codecodence.com/questions/34-what-is-the-main-advantage-of-using-deep-learning-over-traditional-machine-learning-methodscopy-3/)
- [29. Which of the following is an example of unsupervised learning in deep learning?Copy](https://codecodence.com/questions/29-which-of-the-following-is-an-example-of-unsupervised-learning-in-deep-learningcopy-3/)
- [15. Which type of network is best suited for sequential data?Copy](https://codecodence.com/questions/15-which-type-of-network-is-best-suited-for-sequential-datacopy-3/)
- [16. What is the purpose of a learning rate in training neural networks?Copy](https://codecodence.com/questions/16-what-is-the-purpose-of-a-learning-rate-in-training-neural-networkscopy-3/)
- [48. Which of the following describes the role of an embedding layer?Copy](https://codecodence.com/questions/48-which-of-the-following-describes-the-role-of-an-embedding-layercopy-3/)
- [47. What is a cross-sectional study?Copy](https://codecodence.com/questions/47-what-is-a-cross-sectional-studycopy-4/)
- [2. Which measure of central tendency is the middle value of a data set?Copy](https://codecodence.com/questions/2-which-measure-of-central-tendency-is-the-middle-value-of-a-data-setcopy-4/)
- [10. What does a positively skewed distribution look like?Copy](https://codecodence.com/questions/10-what-does-a-positively-skewed-distribution-look-likecopy-4/)
- [5. Which of the following measures variability?Copy](https://codecodence.com/questions/5-which-of-the-following-measures-variabilitycopy-4/)
- [19. Which of the following is an example of regression analysis?Copy](https://codecodence.com/questions/19-which-of-the-following-is-an-example-of-regression-analysiscopy-3/)
- [3. What is overfitting in machine learning?Copy](https://codecodence.com/questions/3-what-is-overfitting-in-machine-learningcopy-3/)
- [23. Which of the following techniques can be used to handle missing data?Copy](https://codecodence.com/questions/23-which-of-the-following-techniques-can-be-used-to-handle-missing-datacopy-3/)
- [21. Which of the following is a disadvantage of using a decision tree?Copy](https://codecodence.com/questions/21-which-of-the-following-is-a-disadvantage-of-using-a-decision-treecopy-3/)
- [38. Which of the following is a common loss function for regression?Copy](https://codecodence.com/questions/38-which-of-the-following-is-a-common-loss-function-for-regressioncopy-3/)
- [47. Which of the following is a key assumption of linear regression?Copy](https://codecodence.com/questions/47-which-of-the-following-is-a-key-assumption-of-linear-regressioncopy-3/)
- [2. Which of the following is an example of a supervised learning algorithm?Copy](https://codecodence.com/questions/2-which-of-the-following-is-an-example-of-a-supervised-learning-algorithmcopy-3/)
- [16. What is cross-validation?Copy](https://codecodence.com/questions/16-what-is-cross-validationcopy-3/)
- [41. What is the purpose of the ROC curve?Copy](https://codecodence.com/questions/41-what-is-the-purpose-of-the-roc-curvecopy-3/)
- [49. Which of the following is an example of a reinforcement learning application?Copy](https://codecodence.com/questions/49-which-of-the-following-is-an-example-of-a-reinforcement-learning-applicationcopy-3/)
- [18. What is the main purpose of a cost function in machine learning?Copy](https://codecodence.com/questions/18-what-is-the-main-purpose-of-a-cost-function-in-machine-learningcopy-3/)
- [12. In which scenario would you use a confusion matrix?Copy](https://codecodence.com/questions/12-in-which-scenario-would-you-use-a-confusion-matrixcopy-3/)
- [5. In the context of machine learning, what does 'bias' refer to?Copy](https://codecodence.com/questions/5-in-the-context-of-machine-learning-what-does-bias-refer-tocopy-3/)
- [9. What does PCA stand for?Copy](https://codecodence.com/questions/9-what-does-pca-stand-forcopy-3/)
- [10. What is a hyperparameter in machine learning?Copy](https://codecodence.com/questions/10-what-is-a-hyperparameter-in-machine-learningcopy-3/)
- [1. What is the main goal of supervised learning?Copy](https://codecodence.com/questions/1-what-is-the-main-goal-of-supervised-learningcopy-3/)
- [22. What is the difference between bagging and boosting?Copy](https://codecodence.com/questions/22-what-is-the-difference-between-bagging-and-boostingcopy-3/)
- [35. Which of the following is a type of neural network?Copy](https://codecodence.com/questions/35-which-of-the-following-is-a-type-of-neural-networkcopy-3/)
- [26. What is the purpose of one-hot encoding?Copy](https://codecodence.com/questions/26-what-is-the-purpose-of-one-hot-encodingcopy-3/)
- [39. What does the term 'learning rate' refer to?Copy](https://codecodence.com/questions/39-what-does-the-term-learning-rate-refer-tocopy-3/)
- [17. Which of the following is an ensemble learning technique?Copy](https://codecodence.com/questions/17-which-of-the-following-is-an-ensemble-learning-techniquecopy-3/)
- [24. What is reinforcement learning?Copy](https://codecodence.com/questions/24-what-is-reinforcement-learningcopy-3/)
- [27. What is the role of the validation set in machine learning?Copy](https://codecodence.com/questions/27-what-is-the-role-of-the-validation-set-in-machine-learningcopy-3/)
- [28. Which of the following is a characteristic of deep learning?Copy](https://codecodence.com/questions/28-which-of-the-following-is-a-characteristic-of-deep-learningcopy-3/)
- [48. What does the term 'ensemble learning' refer to?Copy](https://codecodence.com/questions/48-what-does-the-term-ensemble-learning-refer-tocopy-3/)
- [4. Which algorithm is used for classification tasks?Copy](https://codecodence.com/questions/4-which-algorithm-is-used-for-classification-taskscopy-3/)
- [13. Which metric is commonly used for evaluating classification models?Copy](https://codecodence.com/questions/13-which-metric-is-commonly-used-for-evaluating-classification-modelscopy-3/)
- [25. Which of the following is NOT a common method for feature selection?Copy](https://codecodence.com/questions/25-which-of-the-following-is-not-a-common-method-for-feature-selectioncopy-3/)
- [33. Which of the following is a type of unsupervised learning?Copy](https://codecodence.com/questions/33-which-of-the-following-is-a-type-of-unsupervised-learningcopy-3/)
- [11. Which of the following is NOT a type of supervised learning?Copy](https://codecodence.com/questions/11-which-of-the-following-is-not-a-type-of-supervised-learningcopy-3/)
- [14. What is the purpose of the training set in machine learning?Copy](https://codecodence.com/questions/14-what-is-the-purpose-of-the-training-set-in-machine-learningcopy-3/)
- [43. What is the primary purpose of data preprocessing?Copy](https://codecodence.com/questions/43-what-is-the-primary-purpose-of-data-preprocessingcopy-3/)
- [29. Which technique is used for dimensionality reduction?Copy](https://codecodence.com/questions/29-which-technique-is-used-for-dimensionality-reductioncopy-3/)
- [32. What does the term 'feature engineering' refer to?Copy](https://codecodence.com/questions/32-what-does-the-term-feature-engineering-refer-tocopy-3/)
- [50. What is the purpose of the F1 score in classification tasks?Copy](https://codecodence.com/questions/50-what-is-the-purpose-of-the-f1-score-in-classification-taskscopy-3/)
- [45. Which machine learning technique is best for predicting a continuous output variable?Copy](https://codecodence.com/questions/45-which-machine-learning-technique-is-best-for-predicting-a-continuous-output-variablecopy-3/)
- [6. Which technique is used to prevent overfitting?Copy](https://codecodence.com/questions/6-which-technique-is-used-to-prevent-overfittingcopy-3/)
- [46. What is a common use of the K-Nearest Neighbors algorithm?Copy](https://codecodence.com/questions/46-what-is-a-common-use-of-the-k-nearest-neighbors-algorithmcopy-3/)
- [20. What does the term 'gradient descent' refer to?Copy](https://codecodence.com/questions/20-what-does-the-term-gradient-descent-refer-tocopy-3/)
- [44. In machine learning, what is 'label encoding'?Copy](https://codecodence.com/questions/44-in-machine-learning-what-is-label-encodingcopy-3/)
- [34. What is the primary challenge in training deep learning models?Copy](https://codecodence.com/questions/34-what-is-the-primary-challenge-in-training-deep-learning-modelscopy-3/)
- [8. Which of the following is a clustering algorithm?Copy](https://codecodence.com/questions/8-which-of-the-following-is-a-clustering-algorithmcopy-3/)
- [15. Which algorithm is best suited for high-dimensional data?Copy](https://codecodence.com/questions/15-which-algorithm-is-best-suited-for-high-dimensional-datacopy-3/)
- [31. Which type of model is best for a large dataset with many features?Copy](https://codecodence.com/questions/31-which-type-of-model-is-best-for-a-large-dataset-with-many-featurescopy-3/)
- [37. What does 'AUC' stand for in the context of classification?Copy](https://codecodence.com/questions/37-what-does-auc-stand-for-in-the-context-of-classificationcopy-3/)
- [36. What is the main advantage of using ensemble methods?Copy](https://codecodence.com/questions/36-what-is-the-main-advantage-of-using-ensemble-methodscopy-3/)
- [19. What is the use of pd.merge()?Copy](https://codecodence.com/questions/19-what-is-the-use-of-pd-mergecopy-4/)
- [2. How do you import Pandas?Copy](https://codecodence.com/questions/2-how-do-you-import-pandascopy-4/)
- [40. What is the result of np.max([2, 4, 6])?Copy](https://codecodence.com/questions/40-what-is-the-result-of-np-max2-4-6copy-4/)
- [28. How do you group data in Pandas?Copy](https://codecodence.com/questions/28-how-do-you-group-data-in-pandascopy-4/)
- [16. Which function in Matplotlib adds a legend?Copy](https://codecodence.com/questions/16-which-function-in-matplotlib-adds-a-legendcopy-4/)
- [26. Which function displays a box plot in Seaborn?Copy](https://codecodence.com/questions/26-which-function-displays-a-box-plot-in-seaborncopy-4/)
- [8. What is the default value for the axis parameter in np.sum()?Copy](https://codecodence.com/questions/8-what-is-the-default-value-for-the-axis-parameter-in-np-sumcopy-4/)
- [20. Which Seaborn function shows the distribution of a dataset?Copy](https://codecodence.com/questions/20-which-seaborn-function-shows-the-distribution-of-a-datasetcopy-4/)
- [13. How do you install NumPy?Copy](https://codecodence.com/questions/13-how-do-you-install-numpycopy-4/)
- [24. How do you display the first 5 rows of a DataFrame?Copy](https://codecodence.com/questions/24-how-do-you-display-the-first-5-rows-of-a-dataframecopy-4/)
- [48. Which function converts a NumPy array to a Pandas DataFrame?Copy](https://codecodence.com/questions/48-which-function-converts-a-numpy-array-to-a-pandas-dataframecopy-4/)
- [50. How do you fill missing values in a DataFrame?Copy](https://codecodence.com/questions/50-how-do-you-fill-missing-values-in-a-dataframecopy-4/)
- [49. What does np.dot() perform?Copy](https://codecodence.com/questions/49-what-does-np-dot-performcopy-4/)
- [36. What is the output of np.sum([1, 2, 3])?Copy](https://codecodence.com/questions/36-what-is-the-output-of-np-sum1-2-3copy-4/)
- [38. Which distribution models the number of events in a fixed interval?Copy](https://codecodence.com/questions/38-which-distribution-models-the-number-of-events-in-a-fixed-intervalcopy-4/)
- [29. What does a correlation coefficient of -1 indicate?Copy](https://codecodence.com/questions/29-what-does-a-correlation-coefficient-of-1-indicatecopy-4/)
- [41. What does a sample represent in statistics?Copy](https://codecodence.com/questions/41-what-does-a-sample-represent-in-statisticscopy-4/)
- [12. What does the 50th percentile represent?Copy](https://codecodence.com/questions/12-what-does-the-50th-percentile-representcopy-4/)
- [24. What is the sum of probabilities in a probability distribution?Copy](https://codecodence.com/questions/24-what-is-the-sum-of-probabilities-in-a-probability-distributioncopy-4/)
- [34. What is a hypothesis?Copy](https://codecodence.com/questions/34-what-is-a-hypothesiscopy-4/)
- [37. What is a discrete random variable?Copy](https://codecodence.com/questions/37-what-is-a-discrete-random-variablecopy-4/)
- [49. What does the Central Limit Theorem state?Copy](https://codecodence.com/questions/49-what-does-the-central-limit-theorem-statecopy-4/)
- [50. Which of the following is a type of qualitative data?Copy](https://codecodence.com/questions/50-which-of-the-following-is-a-type-of-qualitative-datacopy-4/)
- [26. What is the mean of a standard normal distribution?Copy](https://codecodence.com/questions/26-what-is-the-mean-of-a-standard-normal-distributioncopy-4/)
- [17. Which type of sampling divides the population into subgroups?Copy](https://codecodence.com/questions/17-which-type-of-sampling-divides-the-population-into-subgroupscopy-4/)
- [7. What is the probability of getting a head in a coin toss?Copy](https://codecodence.com/questions/7-what-is-the-probability-of-getting-a-head-in-a-coin-tosscopy-4/)
- [28. What is the median of the numbers 4, 7, 9, 10, 12?Copy](https://codecodence.com/questions/28-what-is-the-median-of-the-numbers-4-7-9-10-12copy-4/)
- [31. What is a population in statistics?Copy](https://codecodence.com/questions/31-what-is-a-population-in-statisticscopy-4/)
- [19. What is the interquartile range (IQR)?Copy](https://codecodence.com/questions/19-what-is-the-interquartile-range-iqrcopy-4/)
- [27. What does ANOVA test for?Copy](https://codecodence.com/questions/27-what-does-anova-test-forcopy-4/)
- [23. What is a confidence interval?Copy](https://codecodence.com/questions/23-what-is-a-confidence-intervalcopy-4/)
- [43. What is the purpose of hypothesis testing?Copy](https://codecodence.com/questions/43-what-is-the-purpose-of-hypothesis-testingcopy-4/)
- [15. What does correlation measure?Copy](https://codecodence.com/questions/15-what-does-correlation-measurecopy-4/)
- [39. What is skewness?Copy](https://codecodence.com/questions/39-what-is-skewnesscopy-4/)
- [4. What is the range of the numbers 15, 10, 25, 30, 5?Copy](https://codecodence.com/questions/4-what-is-the-range-of-the-numbers-15-10-25-30-5copy-4/)
- [40. What does a boxplot show?Copy](https://codecodence.com/questions/40-what-does-a-boxplot-showcopy-4/)
- [1. What is the mean of the numbers 2, 4, 6, 8, 10?Copy](https://codecodence.com/questions/1-what-is-the-mean-of-the-numbers-2-4-6-8-10copy-4/)
- [3. What is the mode of the numbers 3, 3, 5, 7, 8, 3, 9?Copy](https://codecodence.com/questions/3-what-is-the-mode-of-the-numbers-3-3-5-7-8-3-9copy-4/)
- [16. Which value represents the most frequent occurrence in a dataset?Copy](https://codecodence.com/questions/16-which-value-represents-the-most-frequent-occurrence-in-a-datasetcopy-4/)
- [25. Which of the following distributions is used for binary outcomes?Copy](https://codecodence.com/questions/25-which-of-the-following-distributions-is-used-for-binary-outcomescopy-4/)
- [42. Which of the following is not a characteristic of a normal distribution?Copy](https://codecodence.com/questions/42-which-of-the-following-is-not-a-characteristic-of-a-normal-distributioncopy-4/)
- [6. Which type of data takes on discrete values?Copy](https://codecodence.com/questions/6-which-type-of-data-takes-on-discrete-valuescopy-4/)
- [11. Which branch of statistics focuses on drawing conclusions from data?Copy](https://codecodence.com/questions/11-which-branch-of-statistics-focuses-on-drawing-conclusions-from-datacopy-4/)
- [48. Which of the following is a characteristic of the Poisson distribution?Copy](https://codecodence.com/questions/48-which-of-the-following-is-a-characteristic-of-the-poisson-distributioncopy-4/)
- [36. Which measure indicates how spread out data values are?Copy](https://codecodence.com/questions/36-which-measure-indicates-how-spread-out-data-values-arecopy-4/)
- [45. What is the probability of rolling a sum of 7 with two dice?Copy](https://codecodence.com/questions/45-what-is-the-probability-of-rolling-a-sum-of-7-with-two-dicecopy-4/)
- [35. What is the purpose of a scatter plot?Copy](https://codecodence.com/questions/35-what-is-the-purpose-of-a-scatter-plotcopy-4/)
- [20. Which measure is most affected by outliers?Copy](https://codecodence.com/questions/20-which-measure-is-most-affected-by-outlierscopy-4/)
- [13. Which graphical representation shows quartiles?Copy](https://codecodence.com/questions/13-which-graphical-representation-shows-quartilescopy-4/)
- [9. What is the variance if all data points are identical?Copy](https://codecodence.com/questions/9-what-is-the-variance-if-all-data-points-are-identicalcopy-4/)
- [21. What is a Type I error?Copy](https://codecodence.com/questions/21-what-is-a-type-i-errorcopy-4/)
- [46. What is the significance level (alpha) in hypothesis testing?Copy](https://codecodence.com/questions/46-what-is-the-significance-level-alpha-in-hypothesis-testingcopy-4/)
- [32. Which test is used to compare the means of two samples?Copy](https://codecodence.com/questions/32-which-test-is-used-to-compare-the-means-of-two-samplescopy-4/)
- [22. What does a p-value less than 0.05 indicate?Copy](https://codecodence.com/questions/22-what-does-a-p-value-less-than-0-05-indicatecopy-4/)
- [18. What is the shape of a normal distribution?Copy](https://codecodence.com/questions/18-what-is-the-shape-of-a-normal-distributioncopy-4/)
- [14. What does the Z-score measure?Copy](https://codecodence.com/questions/14-what-does-the-z-score-measurecopy-4/)
- [44. Which statistical test is used for normally distributed data with unknown variances?Copy](https://codecodence.com/questions/44-which-statistical-test-is-used-for-normally-distributed-data-with-unknown-variancescopy-4/)
- [33. What does R² represent in regression analysis?Copy](https://codecodence.com/questions/33-what-does-r²-represent-in-regression-analysiscopy-4/)
- [30. Which test is used to compare proportions?Copy](https://codecodence.com/questions/30-which-test-is-used-to-compare-proportionscopy-4/)
- [8. What is a histogram used for?Copy](https://codecodence.com/questions/8-what-is-a-histogram-used-forcopy-4/)
- [49. What is ACID in databases?Copy](https://codecodence.com/questions/49-what-is-acid-in-databasescopy-4/)
- [24. How do you rename a table?Copy](https://codecodence.com/questions/24-how-do-you-rename-a-tablecopy-4/)
- [4. Which command deletes all rows from a table without logging individual row deletions?Copy](https://codecodence.com/questions/4-which-command-deletes-all-rows-from-a-table-without-logging-individual-row-deletionscopy-4/)
- [22. Which operator is used to check for a range of values?Copy](https://codecodence.com/questions/22-which-operator-is-used-to-check-for-a-range-of-valuescopy-4/)
- [23. What does the NOW() function return?Copy](https://codecodence.com/questions/23-what-does-the-now-function-returncopy-4/)
- [21. Which clause is used to filter grouped data?Copy](https://codecodence.com/questions/21-which-clause-is-used-to-filter-grouped-datacopy-4/)
- [18. Which clause is used to group records that have the same values?Copy](https://codecodence.com/questions/18-which-clause-is-used-to-group-records-that-have-the-same-valuescopy-4/)
- [50. Which function returns the average value of a numeric column?Copy](https://codecodence.com/questions/50-which-function-returns-the-average-value-of-a-numeric-columncopy-4/)
- [35. Which storage engine supports transactions in MySQL?Copy](https://codecodence.com/questions/35-which-storage-engine-supports-transactions-in-mysqlcopy-4/)
- [41. Which MySQL statement changes the password for a user?Copy](https://codecodence.com/questions/41-which-mysql-statement-changes-the-password-for-a-usercopy-4/)
- [14. Which command is used to add a foreign key?Copy](https://codecodence.com/questions/14-which-command-is-used-to-add-a-foreign-keycopy-4/)
- [43. Which function returns the number of rows affected by a query?Copy](https://codecodence.com/questions/43-which-function-returns-the-number-of-rows-affected-by-a-querycopy-4/)
- [9. What is the default port for MySQL?Copy](https://codecodence.com/questions/9-what-is-the-default-port-for-mysqlcopy-4/)
- [40. What is a subquery?Copy](https://codecodence.com/questions/40-what-is-a-subquerycopy-4/)
- [6. What is a primary key?Copy](https://codecodence.com/questions/6-what-is-a-primary-keycopy-4/)
- [12. Which command is used to modify an existing column?Copy](https://codecodence.com/questions/12-which-command-is-used-to-modify-an-existing-columncopy-4/)
- [34. How do you delete all rows in a table?Copy](https://codecodence.com/questions/34-how-do-you-delete-all-rows-in-a-tablecopy-4/)
- [13. What does the COUNT() function do?Copy](https://codecodence.com/questions/13-what-does-the-count-function-docopy-4/)
- [8. Which function is used to find the length of a string?Copy](https://codecodence.com/questions/8-which-function-is-used-to-find-the-length-of-a-stringcopy-4/)
- [5. Which SQL clause is used to filter records?Copy](https://codecodence.com/questions/5-which-sql-clause-is-used-to-filter-recordscopy-4/)
- [2. Which statement is used to retrieve data from a table?Copy](https://codecodence.com/questions/2-which-statement-is-used-to-retrieve-data-from-a-tablecopy-4/)
- [15. What is the default storage engine in MySQL?Copy](https://codecodence.com/questions/15-what-is-the-default-storage-engine-in-mysqlcopy-4/)
- [25. Which statement creates a new user?Copy](https://codecodence.com/questions/25-which-statement-creates-a-new-usercopy-4/)
- [27. What is the purpose of the AUTO_INCREMENT attribute?Copy](https://codecodence.com/questions/27-what-is-the-purpose-of-the-auto_increment-attributecopy-4/)
- [32. What is the maximum size of VARCHAR?Copy](https://codecodence.com/questions/32-what-is-the-maximum-size-of-varcharcopy-4/)
- [20. What is a view in MySQL?Copy](https://codecodence.com/questions/20-what-is-a-view-in-mysqlcopy-4/)
- [10. Which join returns all records from both tables, matching where possible?Copy](https://codecodence.com/questions/10-which-join-returns-all-records-from-both-tables-matching-where-possiblecopy-4/)
- [27. What does np.array([1, 2, 3]).shape return?Copy](https://codecodence.com/questions/27-what-does-np-array1-2-3-shape-returncopy-4/)
- [30. Which Seaborn function shows a regression line?Copy](https://codecodence.com/questions/30-which-seaborn-function-shows-a-regression-linecopy-4/)
- [39. Which function gives a cumulative sum in Pandas?Copy](https://codecodence.com/questions/39-which-function-gives-a-cumulative-sum-in-pandascopy-4/)
- [32. What does df.info() provide?Copy](https://codecodence.com/questions/32-what-does-df-info-providecopy-4/)
- [5. Which function in Matplotlib creates a line plot?Copy](https://codecodence.com/questions/5-which-function-in-matplotlib-creates-a-line-plotcopy-4/)
- [38. How do you display column names in Pandas?Copy](https://codecodence.com/questions/38-how-do-you-display-column-names-in-pandascopy-4/)
- [43. Which function in Seaborn is used to draw a violin plot?Copy](https://codecodence.com/questions/43-which-function-in-seaborn-is-used-to-draw-a-violin-plotcopy-4/)
- [1. What does NumPy help with?Copy](https://codecodence.com/questions/1-what-does-numpy-help-withcopy-4/)
- [4. How do you read a CSV file in Pandas?Copy](https://codecodence.com/questions/4-how-do-you-read-a-csv-file-in-pandascopy-4/)
- [7. How do you create a Pandas DataFrame?Copy](https://codecodence.com/questions/7-how-do-you-create-a-pandas-dataframecopy-4/)
- [17. How do you create a correlation heatmap using Seaborn?Copy](https://codecodence.com/questions/17-how-do-you-create-a-correlation-heatmap-using-seaborncopy-4/)
- [23. Which function removes missing values in Pandas?Copy](https://codecodence.com/questions/23-which-function-removes-missing-values-in-pandascopy-4/)
- [21. What does plt.show() do?Copy](https://codecodence.com/questions/21-what-does-plt-show-docopy-4/)
- [9. Which of the following represents a NumPy array shape of 2 rows and 3 columns?Copy](https://codecodence.com/questions/9-which-of-the-following-represents-a-numpy-array-shape-of-2-rows-and-3-columnscopy-4/)
- [46. What is the default backend for Matplotlib?Copy](https://codecodence.com/questions/46-what-is-the-default-backend-for-matplotlibcopy-4/)
- [22. How do you generate a range of numbers in NumPy?Copy](https://codecodence.com/questions/22-how-do-you-generate-a-range-of-numbers-in-numpycopy-4/)
- [45. Which function reshapes an array in NumPy?Copy](https://codecodence.com/questions/45-which-function-reshapes-an-array-in-numpycopy-4/)
- [35. Which method sorts a DataFrame by values?Copy](https://codecodence.com/questions/35-which-method-sorts-a-dataframe-by-valuescopy-4/)
- [15. Which Pandas function removes duplicate rows?Copy](https://codecodence.com/questions/15-which-pandas-function-removes-duplicate-rowscopy-4/)
- [10. What does pd.isnull() do?Copy](https://codecodence.com/questions/10-what-does-pd-isnull-docopy-4/)
- [41. What does df.describe() return in Pandas?Copy](https://codecodence.com/questions/41-what-does-df-describe-return-in-pandascopy-4/)
- [31. Which function in NumPy creates an identity matrix?Copy](https://codecodence.com/questions/31-which-function-in-numpy-creates-an-identity-matrixcopy-4/)
- [14. What does np.random.rand() generate?Copy](https://codecodence.com/questions/14-what-does-np-random-rand-generatecopy-4/)
- [6. Which Seaborn function is used for scatter plots?Copy](https://codecodence.com/questions/6-which-seaborn-function-is-used-for-scatter-plotscopy-4/)
- [29. What type of plot does plt.hist() create?Copy](https://codecodence.com/questions/29-what-type-of-plot-does-plt-hist-createcopy-4/)
- [47. Which Seaborn function creates a count plot?Copy](https://codecodence.com/questions/47-which-seaborn-function-creates-a-count-plotcopy-4/)
- [18. Which NumPy function returns the mean of an array?Copy](https://codecodence.com/questions/18-which-numpy-function-returns-the-mean-of-an-arraycopy-4/)
- [34. How do you install Seaborn?Copy](https://codecodence.com/questions/34-how-do-you-install-seaborncopy-4/)
- [37. What kind of plot is created by sns.pairplot()?Copy](https://codecodence.com/questions/37-what-kind-of-plot-is-created-by-sns-pairplotcopy-4/)
- [25. What is the output of np.linspace(1, 10, 4)?Copy](https://codecodence.com/questions/25-what-is-the-output-of-np-linspace1-10-4copy-4/)
- [3. Which function in NumPy creates an array of zeros?Copy](https://codecodence.com/questions/3-which-function-in-numpy-creates-an-array-of-zeroscopy-4/)
- [33. How do you plot multiple lines in Matplotlib?Copy](https://codecodence.com/questions/33-how-do-you-plot-multiple-lines-in-matplotlibcopy-4/)
- [11. Which function in Matplotlib adds labels to the x-axis?Copy](https://codecodence.com/questions/11-which-function-in-matplotlib-adds-labels-to-the-x-axiscopy-4/)
- [12. What type of plot is created using sns.barplot()?Copy](https://codecodence.com/questions/12-what-type-of-plot-is-created-using-sns-barplotcopy-4/)
- [42. How do you change the size of a plot in Matplotlib?Copy](https://codecodence.com/questions/42-how-do-you-change-the-size-of-a-plot-in-matplotlibcopy-4/)
- [44. Which method in Pandas removes a specific column?Copy](https://codecodence.com/questions/44-which-method-in-pandas-removes-a-specific-columncopy-4/)
- [17. Which operator is used for string concatenation?Copy](https://codecodence.com/questions/17-which-operator-is-used-for-string-concatenationcopy-4/)
- [18. Which keyword is used to define a class in Python?Copy](https://codecodence.com/questions/18-which-keyword-is-used-to-define-a-class-in-pythoncopy-4/)
- [19. What is the output of print("Hello"[1])?Copy](https://codecodence.com/questions/19-what-is-the-output-of-printhello1copy-4/)
- [20. Which function generates a sequence of numbers?Copy](https://codecodence.com/questions/20-which-function-generates-a-sequence-of-numberscopy-4/)
- [21. How do you create an empty set?Copy](https://codecodence.com/questions/21-how-do-you-create-an-empty-setcopy-4/)
- [22. What is the correct syntax to import a module?Copy](https://codecodence.com/questions/22-what-is-the-correct-syntax-to-import-a-modulecopy-4/)
- [23. What is the purpose of break in loops?Copy](https://codecodence.com/questions/23-what-is-the-purpose-of-break-in-loopscopy-4/)
- [24. How do you create a dictionary in Python?Copy](https://codecodence.com/questions/24-how-do-you-create-a-dictionary-in-pythoncopy-4/)
- [25. What is the result of 4 % 2?Copy](https://codecodence.com/questions/25-what-is-the-result-of-4-2copy-4/)
- [26. Which function is used to read user input?Copy](https://codecodence.com/questions/26-which-function-is-used-to-read-user-inputcopy-4/)
- [27. What does None represent in Python?Copy](https://codecodence.com/questions/27-what-does-none-represent-in-pythoncopy-4/)
- [28. What is the output of print(5 > 3 and 2 < 1)?Copy](https://codecodence.com/questions/28-what-is-the-output-of-print5-3-and-2-1copy-4/)
- [29. Which method is used to remove whitespace from a string?Copy](https://codecodence.com/questions/29-which-method-is-used-to-remove-whitespace-from-a-stringcopy-4/)
- [30. What is the correct way to define a constructor in a Python class?Copy](https://codecodence.com/questions/30-what-is-the-correct-way-to-define-a-constructor-in-a-python-classcopy-4/)
- [31. Which keyword is used to create an object of a class?Copy](https://codecodence.com/questions/31-which-keyword-is-used-to-create-an-object-of-a-classcopy-4/)
- [32. How do you comment multiple lines in Python?Copy](https://codecodence.com/questions/32-how-do-you-comment-multiple-lines-in-pythoncopy-4/)
- [33. What is the output of bool([])?Copy](https://codecodence.com/questions/33-what-is-the-output-of-boolcopy-4/)
- [34. What is the default value of variables inside a function?Copy](https://codecodence.com/questions/34-what-is-the-default-value-of-variables-inside-a-functioncopy-4/)
- [35. What is the output of print("2" + "3")?Copy](https://codecodence.com/questions/35-what-is-the-output-of-print2-3copy-4/)
- [36. Which method returns the length of a list?Copy](https://codecodence.com/questions/36-which-method-returns-the-length-of-a-listcopy-4/)
- [37. What is the result of not True?Copy](https://codecodence.com/questions/37-what-is-the-result-of-not-truecopy-4/)
- [38. Which function converts a list into a tuple?Copy](https://codecodence.com/questions/38-which-function-converts-a-list-into-a-tuplecopy-4/)
- [39. Which exception is raised for division by zero?Copy](https://codecodence.com/questions/39-which-exception-is-raised-for-division-by-zerocopy-4/)
- [40. What does the pass statement do?Copy](https://codecodence.com/questions/40-what-does-the-pass-statement-docopy-4/)
- [41. Which operator is used to check for identity?Copy](https://codecodence.com/questions/41-which-operator-is-used-to-check-for-identitycopy-4/)
- [42. What is the output of bool(0)?Copy](https://codecodence.com/questions/42-what-is-the-output-of-bool0copy-4/)
- [43. Which keyword is used to inherit a class?Copy](https://codecodence.com/questions/43-which-keyword-is-used-to-inherit-a-classcopy-4/)
- [44. Which method is used to sort a list?Copy](https://codecodence.com/questions/44-which-method-is-used-to-sort-a-listcopy-4/)
- [45. What does __name__ == "__main__" indicate?Copy](https://codecodence.com/questions/45-what-does-__name__-__main__-indicatecopy-4/)
- [46. How do you create a lambda function?Copy](https://codecodence.com/questions/46-how-do-you-create-a-lambda-functioncopy-4/)
- [47. What is the output of print(2 * 3 ** 2)?Copy](https://codecodence.com/questions/47-what-is-the-output-of-print2-3-2copy-4/)
- [48. Which method is used to close a file in Python?Copy](https://codecodence.com/questions/48-which-method-is-used-to-close-a-file-in-pythoncopy-4/)
- [49. Which module is used for random number generation?Copy](https://codecodence.com/questions/49-which-module-is-used-for-random-number-generationcopy-4/)
- [50. What is Python's type of range(5)?Copy](https://codecodence.com/questions/50-what-is-pythons-type-of-range5copy-4/)
- [33. Which keyword creates an index on a table?Copy](https://codecodence.com/questions/33-which-keyword-creates-an-index-on-a-tablecopy-4/)
- [45. What is MySQL Workbench?Copy](https://codecodence.com/questions/45-what-is-mysql-workbenchcopy-4/)
- [1. Which command is used to create a new database?Copy](https://codecodence.com/questions/1-which-command-is-used-to-create-a-new-databasecopy-4/)
- [38. What is the purpose of the UNION operator?Copy](https://codecodence.com/questions/38-what-is-the-purpose-of-the-union-operatorcopy-4/)
- [48. What is the use of the GROUP_CONCAT() function?Copy](https://codecodence.com/questions/48-what-is-the-use-of-the-group_concat-functioncopy-4/)
- [17. Which function converts a string to uppercase?Copy](https://codecodence.com/questions/17-which-function-converts-a-string-to-uppercasecopy-4/)
- [42. How do you remove a foreign key?Copy](https://codecodence.com/questions/42-how-do-you-remove-a-foreign-keycopy-4/)
- [19. What type of relationship does a foreign key define?Copy](https://codecodence.com/questions/19-what-type-of-relationship-does-a-foreign-key-definecopy-4/)
- [36. How do you display the structure of a table?Copy](https://codecodence.com/questions/36-how-do-you-display-the-structure-of-a-tablecopy-4/)
- [31. Which MySQL statement is used to insert data?Copy](https://codecodence.com/questions/31-which-mysql-statement-is-used-to-insert-datacopy-4/)
- [29. Which operator is used for pattern matching?Copy](https://codecodence.com/questions/29-which-operator-is-used-for-pattern-matchingcopy-4/)
- [30. What is a trigger in MySQL?Copy](https://codecodence.com/questions/30-what-is-a-trigger-in-mysqlcopy-4/)
- [26. What does the DISTINCT keyword do?Copy](https://codecodence.com/questions/26-what-does-the-distinct-keyword-docopy-4/)
- [11. Which command removes a table from a database?Copy](https://codecodence.com/questions/11-which-command-removes-a-table-from-a-databasecopy-4/)
- [39. Which MySQL function returns the remainder of a division?Copy](https://codecodence.com/questions/39-which-mysql-function-returns-the-remainder-of-a-divisioncopy-4/)
- [7. Which keyword is used to sort the result-set?Copy](https://codecodence.com/questions/7-which-keyword-is-used-to-sort-the-result-setcopy-4/)
- [47. How do you set a default value for a column?Copy](https://codecodence.com/questions/47-how-do-you-set-a-default-value-for-a-columncopy-4/)
- [28. Which statement removes duplicate records?Copy](https://codecodence.com/questions/28-which-statement-removes-duplicate-recordscopy-4/)
- [3. Which function returns the current date and time in MySQL?Copy](https://codecodence.com/questions/3-which-function-returns-the-current-date-and-time-in-mysqlcopy-4/)
- [16. How do you limit the number of rows in a query result?Copy](https://codecodence.com/questions/16-how-do-you-limit-the-number-of-rows-in-a-query-resultcopy-4/)
- [46. Which function finds the minimum value in a column?Copy](https://codecodence.com/questions/46-which-function-finds-the-minimum-value-in-a-columncopy-4/)
- [44. What is a stored procedure?Copy](https://codecodence.com/questions/44-what-is-a-stored-procedurecopy-4/)
- [37. What does the CONCAT() function do?Copy](https://codecodence.com/questions/37-what-does-the-concat-function-docopy-4/)
- [1. What is the correct file extension for Python files?Copy](https://codecodence.com/questions/1-what-is-the-correct-file-extension-for-python-filescopy-4/)
- [2. Which keyword is used to define a function in Python?Copy](https://codecodence.com/questions/2-which-keyword-is-used-to-define-a-function-in-pythoncopy-4/)
- [3. What is the output of print(2 ** 3)?Copy](https://codecodence.com/questions/3-what-is-the-output-of-print2-3copy-4/)
- [4. Which data type is immutable in Python?Copy](https://codecodence.com/questions/4-which-data-type-is-immutable-in-pythoncopy-4/)
- [5. How do you insert comments in Python code?Copy](https://codecodence.com/questions/5-how-do-you-insert-comments-in-python-codecopy-4/)
- [6. Which function is used to convert a string into an integer?Copy](https://codecodence.com/questions/6-which-function-is-used-to-convert-a-string-into-an-integercopy-4/)
- [7. Which function is used to convert a string into an integer? What is the correct way to declare a variable in Python?Copy](https://codecodence.com/questions/7-which-function-is-used-to-convert-a-string-into-an-integer-what-is-the-correct-way-to-declare-a-variable-in-pythoncopy-4/)
- [8. Which method adds an item to the end of a list?Copy](https://codecodence.com/questions/8-which-method-adds-an-item-to-the-end-of-a-listcopy-4/)
- [9. How do you access the first element of a list named my_list?Copy](https://codecodence.com/questions/9-how-do-you-access-the-first-element-of-a-list-named-my_listcopy-4/)
- [10. What is the output of len("Hello")?Copy](https://codecodence.com/questions/10-what-is-the-output-of-lenhellocopy-4/)
- [11. What keyword is used to handle exceptions?Copy](https://codecodence.com/questions/11-what-keyword-is-used-to-handle-exceptionscopy-4/)
- [12. What will be the output of print(type(3.14))?Copy](https://codecodence.com/questions/12-what-will-be-the-output-of-printtype3-14copy-4/)
- [13. Which loop is used to iterate over a sequence in Python?Copy](https://codecodence.com/questions/13-which-loop-is-used-to-iterate-over-a-sequence-in-pythoncopy-4/)
- [14. What is the result of 10 // 3?Copy](https://codecodence.com/questions/14-what-is-the-result-of-10-3copy-4/)
- [15. How do you start a code block in Python?Copy](https://codecodence.com/questions/15-how-do-you-start-a-code-block-in-pythoncopy-4/)
- [16. What will be the output of print(2 == 2.0)?Copy](https://codecodence.com/questions/16-what-will-be-the-output-of-print2-2-0copy-4/)
- [What is A/B testing?Copy](https://codecodence.com/questions/what-is-a-b-testingcopy/)
- [Which library is used for creating visualizations?Copy](https://codecodence.com/questions/which-library-is-used-for-creating-visualizationscopy/)
- [Which technique is used to prevent overfitting?Copy](https://codecodence.com/questions/which-technique-is-used-to-prevent-overfittingcopy/)
- [What is overfitting in machine learning?Copy](https://codecodence.com/questions/what-is-overfitting-in-machine-learningcopy/)
- [Which model is used for time series forecasting?Copy](https://codecodence.com/questions/which-model-is-used-for-time-series-forecastingcopy/)
- [What is the purpose of a validation set?Copy](https://codecodence.com/questions/what-is-the-purpose-of-a-validation-setcopy/)
- [34. Which of the following is NOT a visualization option in Power BI?Copy](https://codecodence.com/questions/34-which-of-the-following-is-not-a-visualization-option-in-power-bicopy-2/)
- [48. Which function would you use to combine text from different columns in DAX?Copy](https://codecodence.com/questions/48-which-function-would-you-use-to-combine-text-from-different-columns-in-daxcopy-2/)
- [35. What is the purpose of a "what-if parameter" in Power BI?Copy](https://codecodence.com/questions/35-what-is-the-purpose-of-a-what-if-parameter-in-power-bicopy-2/)
- [39. What is the purpose of using a "Tree Map" in Power BI?Copy](https://codecodence.com/questions/39-what-is-the-purpose-of-using-a-tree-map-in-power-bicopy-2/)
- [27. Which of the following functions is used to count non-empty cells in DAX?Copy](https://codecodence.com/questions/27-which-of-the-following-functions-is-used-to-count-non-empty-cells-in-daxcopy-2/)
- [26. What is a "dashboard tile" in Power BI?Copy](https://codecodence.com/questions/26-what-is-a-dashboard-tile-in-power-bicopy-2/)
- [1. What is Power BI primarily used for?Copy](https://codecodence.com/questions/1-what-is-power-bi-primarily-used-forcopy-2/)
- [33. What does "Query Folding" do in Power BI?Copy](https://codecodence.com/questions/33-what-does-query-folding-do-in-power-bicopy-2/)
- [24. What is the purpose of the "Relationships" view in Power BI?Copy](https://codecodence.com/questions/24-what-is-the-purpose-of-the-relationships-view-in-power-bicopy-2/)
- [32. What is the "Data Model" in Power BI?Copy](https://codecodence.com/questions/32-what-is-the-data-model-in-power-bicopy-2/)
- [42. What does the "Visualizations" pane do in Power BI?Copy](https://codecodence.com/questions/42-what-does-the-visualizations-pane-do-in-power-bicopy-2/)
- [29. Which type of chart is used for comparing values across categories?Copy](https://codecodence.com/questions/29-which-type-of-chart-is-used-for-comparing-values-across-categoriescopy-2/)
- [16. Which Power BI component is used for sharing reports?Copy](https://codecodence.com/questions/16-which-power-bi-component-is-used-for-sharing-reportscopy-2/)
- [37. What is the role of a Power BI gateway?Copy](https://codecodence.com/questions/37-what-is-the-role-of-a-power-bi-gatewaycopy-2/)
- [31. Which of the following is a Power BI desktop file type?Copy](https://codecodence.com/questions/31-which-of-the-following-is-a-power-bi-desktop-file-typecopy-2/)
- [Which of the following is a loss function used in regression?Copy](https://codecodence.com/questions/which-of-the-following-is-a-loss-function-used-in-regressioncopy/)
- [What is ensemble learning?Copy](https://codecodence.com/questions/what-is-ensemble-learningcopy/)
- [What is the main purpose of data visualization?Copy](https://codecodence.com/questions/what-is-the-main-purpose-of-data-visualizationcopy/)
- [Which of the following is a metric used for regression evaluation?Copy](https://codecodence.com/questions/which-of-the-following-is-a-metric-used-for-regression-evaluationcopy/)
- [Which Python library is primarily used for machine learning?Copy](https://codecodence.com/questions/which-python-library-is-primarily-used-for-machine-learningcopy/)
- [What is one-hot encoding used for?Copy](https://codecodence.com/questions/what-is-one-hot-encoding-used-forcopy/)
- [Which algorithm is used for clustering?Copy](https://codecodence.com/questions/which-algorithm-is-used-for-clusteringcopy/)
- [Which type of plot is used to visualize the distribution of data?Copy](https://codecodence.com/questions/which-type-of-plot-is-used-to-visualize-the-distribution-of-datacopy/)
- [What is a neural network?Copy](https://codecodence.com/questions/what-is-a-neural-networkcopy/)
- [What is the role of a confusion matrix?Copy](https://codecodence.com/questions/what-is-the-role-of-a-confusion-matrixcopy/)
- [Which of the following is a cloud platform for data science?Copy](https://codecodence.com/questions/which-of-the-following-is-a-cloud-platform-for-data-sciencecopy/)
- [Which of the following models can handle both regression and classification?Copy](https://codecodence.com/questions/which-of-the-following-models-can-handle-both-regression-and-classificationcopy/)
- [What is the purpose of gradient descent?Copy](https://codecodence.com/questions/what-is-the-purpose-of-gradient-descentcopy/)
- [Which of the following is not a machine learning algorithm?Copy](https://codecodence.com/questions/which-of-the-following-is-not-a-machine-learning-algorithmcopy/)
- [Which algorithm is used for dimensionality reduction?Copy](https://codecodence.com/questions/which-algorithm-is-used-for-dimensionality-reductioncopy/)
- [What is the purpose of normalization?Copy](https://codecodence.com/questions/what-is-the-purpose-of-normalizationcopy/)
- [What is Data Science?Copy](https://codecodence.com/questions/what-is-data-sciencecopy/)
- [Which method is used to handle missing values in data?Copy](https://codecodence.com/questions/which-method-is-used-to-handle-missing-values-in-datacopy/)
- [Which of the following is a deep learning framework?Copy](https://codecodence.com/questions/which-of-the-following-is-a-deep-learning-frameworkcopy/)
- [What is the range of Pearson’s correlation coefficient?Copy](https://codecodence.com/questions/what-is-the-range-of-pearsons-correlation-coefficientcopy/)
- [What is the purpose of feature engineering?Copy](https://codecodence.com/questions/what-is-the-purpose-of-feature-engineeringcopy/)
- [Which method can handle imbalanced datasets?Copy](https://codecodence.com/questions/which-method-can-handle-imbalanced-datasetscopy/)
- [What is the purpose of EDA (Exploratory Data Analysis)?Copy](https://codecodence.com/questions/what-is-the-purpose-of-eda-exploratory-data-analysiscopy/)
- [What does train_test_split do?Copy](https://codecodence.com/questions/what-does-train_test_split-docopy/)
- [What is an outlier?Copy](https://codecodence.com/questions/what-is-an-outliercopy/)
- [What is the output of a classification algorithm?Copy](https://codecodence.com/questions/what-is-the-output-of-a-classification-algorithmcopy/)
- [Which of the following is a reinforcement learning technique?Copy](https://codecodence.com/questions/which-of-the-following-is-a-reinforcement-learning-techniquecopy/)
- [What is the purpose of feature scaling?Copy](https://codecodence.com/questions/what-is-the-purpose-of-feature-scalingcopy/)
- [Which Python library is commonly used for data manipulation?Copy](https://codecodence.com/questions/which-python-library-is-commonly-used-for-data-manipulationcopy/)
- [What is cross-validation used for?Copy](https://codecodence.com/questions/what-is-cross-validation-used-forcopy/)
- [Which type of algorithm is K-Means?Copy](https://codecodence.com/questions/which-type-of-algorithm-is-k-meanscopy/)
- [Which of the following is an example of supervised learning?Copy](https://codecodence.com/questions/which-of-the-following-is-an-example-of-supervised-learningcopy/) - Which of the following is an example of supervised learning?
- [Which activation function outputs values between 0 and 1?Copy](https://codecodence.com/questions/which-activation-function-outputs-values-between-0-and-1copy/)
- [What does NLP stand for?Copy](https://codecodence.com/questions/what-does-nlp-stand-forcopy/)
- [Which technique is used to handle multicollinearity?Copy](https://codecodence.com/questions/which-technique-is-used-to-handle-multicollinearitycopy/)
- [What is bagging?Copy](https://codecodence.com/questions/what-is-baggingcopy/)
- [What is the goal of unsupervised learning?Copy](https://codecodence.com/questions/what-is-the-goal-of-unsupervised-learningcopy/)
- [What is a ROC curve?Copy](https://codecodence.com/questions/what-is-a-roc-curvecopy/)
- [What is the output of a regression model?Copy](https://codecodence.com/questions/what-is-the-output-of-a-regression-modelcopy/)
- [Which method is used to select the best features?Copy](https://codecodence.com/questions/which-method-is-used-to-select-the-best-featurescopy/)
- [What is a hyperparameter?Copy](https://codecodence.com/questions/what-is-a-hyperparametercopy/)
- [What does overfitting indicate?Copy](https://codecodence.com/questions/what-does-overfitting-indicatecopy/)
- [Which metric is used to evaluate classification models?Copy](https://codecodence.com/questions/which-metric-is-used-to-evaluate-classification-modelscopy/)
- [What is the F1-score?Copy](https://codecodence.com/questions/what-is-the-f1-scorecopy/)
- [12. Which of the following visualizations can show trends over time?Copy](https://codecodence.com/questions/12-which-of-the-following-visualizations-can-show-trends-over-timecopy-2/)
- [17. Which function is used to count the number of distinct values in Tableau?Copy](https://codecodence.com/questions/17-which-function-is-used-to-count-the-number-of-distinct-values-in-tableaucopy-2/)
- [45. What is a "hierarchical field" in Tableau?Copy](https://codecodence.com/questions/45-what-is-a-hierarchical-field-in-tableaucopy-2/)
- [1. What is Tableau primarily used for?Copy](https://codecodence.com/questions/1-what-is-tableau-primarily-used-forcopy-2/)
- [39. What does the term "drill down" mean in Tableau?Copy](https://codecodence.com/questions/39-what-does-the-term-drill-down-mean-in-tableaucopy-2/)
- [44. Which of the following visualizations is best for showing growth over time?Copy](https://codecodence.com/questions/44-which-of-the-following-visualizations-is-best-for-showing-growth-over-timecopy-2/)
- [28. Which feature allows users to see how the dashboard performs?Copy](https://codecodence.com/questions/28-which-feature-allows-users-to-see-how-the-dashboard-performscopy-2/)
- [5. Which of the following is NOT a Tableau data connection type?Copy](https://codecodence.com/questions/5-which-of-the-following-is-not-a-tableau-data-connection-typecopy-2/)
- [27. What is the default file type for Tableau extracts?Copy](https://codecodence.com/questions/27-what-is-the-default-file-type-for-tableau-extractscopy-2/)
- [26. Which of the following is NOT a Tableau product?Copy](https://codecodence.com/questions/26-which-of-the-following-is-not-a-tableau-productcopy-2/)
- [35. Which of the following is a benefit of using Tableau Public?Copy](https://codecodence.com/questions/35-which-of-the-following-is-a-benefit-of-using-tableau-publiccopy-2/)
- [20. What is a "story" in Tableau?Copy](https://codecodence.com/questions/20-what-is-a-story-in-tableaucopy-2/)
- [24. Which chart is best for visualizing frequency distribution?Copy](https://codecodence.com/questions/24-which-chart-is-best-for-visualizing-frequency-distributioncopy-2/)
- [10. What is the function of a "calculated field" in Tableau?Copy](https://codecodence.com/questions/10-what-is-the-function-of-a-calculated-field-in-tableaucopy-2/)
- [48. Which type of Tableau file is compressed and packaged for sharing?Copy](https://codecodence.com/questions/48-which-type-of-tableau-file-is-compressed-and-packaged-for-sharingcopy-2/)
- [23. What is "table calculation" in Tableau?Copy](https://codecodence.com/questions/23-what-is-table-calculation-in-tableaucopy-2/)
- [6. What are dimensions in Tableau?Copy](https://codecodence.com/questions/6-what-are-dimensions-in-tableaucopy-2/)
- [41. Which Tableau feature helps in version control and collaboration?Copy](https://codecodence.com/questions/41-which-tableau-feature-helps-in-version-control-and-collaborationcopy-2/)
- [47. What is the purpose of using "data roles" in Tableau?Copy](https://codecodence.com/questions/47-what-is-the-purpose-of-using-data-roles-in-tableaucopy-2/)
- [36. What is a "scatter plot" used for in Tableau?Copy](https://codecodence.com/questions/36-what-is-a-scatter-plot-used-for-in-tableaucopy-2/)
- [18. What does a "heat map" in Tableau show?Copy](https://codecodence.com/questions/18-what-does-a-heat-map-in-tableau-showcopy-2/)
- [2. Which file extension is associated with Tableau workbooks?Copy](https://codecodence.com/questions/2-which-file-extension-is-associated-with-tableau-workbookscopy-2/)
- [19. Which of the following is a type of Tableau filter?Copy](https://codecodence.com/questions/19-which-of-the-following-is-a-type-of-tableau-filtercopy-2/)
- [34. What does the "Color" shelf in Tableau do?Copy](https://codecodence.com/questions/34-what-does-the-color-shelf-in-tableau-docopy-2/)
- [29. What does the "Analysis" menu in Tableau provide?Copy](https://codecodence.com/questions/29-what-does-the-analysis-menu-in-tableau-providecopy-2/)
- [49. What feature in Tableau allows you to display the data in a textual format alongside visualizations?Copy](https://codecodence.com/questions/49-what-feature-in-tableau-allows-you-to-display-the-data-in-a-textual-format-alongside-visualizationscopy-2/)
- [3. What is the purpose of a "dashboard" in Tableau?Copy](https://codecodence.com/questions/3-what-is-the-purpose-of-a-dashboard-in-tableaucopy-2/)
- [21. Which Tableau feature allows for interactive filtering of data in dashboards?Copy](https://codecodence.com/questions/21-which-tableau-feature-allows-for-interactive-filtering-of-data-in-dashboardscopy-2/)
- [9. What is the use of bookmarks in Power BI?Copy](https://codecodence.com/questions/9-what-is-the-use-of-bookmarks-in-power-bicopy-2/)
- [47. In Power BI, what is the use of the "Tooltip"?Copy](https://codecodence.com/questions/47-in-power-bi-what-is-the-use-of-the-tooltipcopy-2/)
- [13. Which of the following is a type of relationship you can define in Power BI?Copy](https://codecodence.com/questions/13-which-of-the-following-is-a-type-of-relationship-you-can-define-in-power-bicopy-2/)
- [20. Which function is used to calculate the average in DAX?Copy](https://codecodence.com/questions/20-which-function-is-used-to-calculate-the-average-in-daxcopy-2/)
- [4. What type of data sources can Power BI connect to?Copy](https://codecodence.com/questions/4-what-type-of-data-sources-can-power-bi-connect-tocopy-2/)
- [14. What feature allows you to create calculated columns in Power BI?Copy](https://codecodence.com/questions/14-what-feature-allows-you-to-create-calculated-columns-in-power-bicopy-2/)
- [40. What is the "Model" view used for in Power BI?Copy](https://codecodence.com/questions/40-what-is-the-model-view-used-for-in-power-bicopy-2/)
- [50. What feature in Power BI allows you to see how your visuals are performing?Copy](https://codecodence.com/questions/50-what-feature-in-power-bi-allows-you-to-see-how-your-visuals-are-performingcopy-2/)
- [15. What does a "measure" in Power BI represent?Copy](https://codecodence.com/questions/15-what-does-a-measure-in-power-bi-representcopy-2/)
- [19. What does the "Drill Down" feature allow you to do in Power BI?Copy](https://codecodence.com/questions/19-what-does-the-drill-down-feature-allow-you-to-do-in-power-bicopy-2/)
- [18. What is the default storage mode for data in Power BI?Copy](https://codecodence.com/questions/18-what-is-the-default-storage-mode-for-data-in-power-bicopy-2/)
- [49. What does the "Power BI App" allow users to do?Copy](https://codecodence.com/questions/49-what-does-the-power-bi-app-allow-users-to-docopy-2/)
- [3. What is the primary file format for Power BI reports?Copy](https://codecodence.com/questions/3-what-is-the-primary-file-format-for-power-bi-reportscopy-2/)
- [11. Which visual is best for showing proportions of a whole?Copy](https://codecodence.com/questions/11-which-visual-is-best-for-showing-proportions-of-a-wholecopy-2/)
- [5. Which visual is used to display data trends over time in Power BI?Copy](https://codecodence.com/questions/5-which-visual-is-used-to-display-data-trends-over-time-in-power-bicopy-2/)
- [43. Which of the following is a type of Power BI subscription?Copy](https://codecodence.com/questions/43-which-of-the-following-is-a-type-of-power-bi-subscriptioncopy-2/)
- [2. Which of the following components is NOT part of Power BI?Copy](https://codecodence.com/questions/2-which-of-the-following-components-is-not-part-of-power-bicopy-2/)
- [28. What does the "Publish" feature in Power BI do?Copy](https://codecodence.com/questions/28-what-does-the-publish-feature-in-power-bi-docopy-2/)
- [17. Which type of filtering can be applied at the visual level in Power BI?Copy](https://codecodence.com/questions/17-which-type-of-filtering-can-be-applied-at-the-visual-level-in-power-bicopy-2/)
- [41. Which visual can show both categorical and time-based data?Copy](https://codecodence.com/questions/41-which-visual-can-show-both-categorical-and-time-based-datacopy-2/)
- [25. What does the term "data modeling" refer to in Power BI?Copy](https://codecodence.com/questions/25-what-does-the-term-data-modeling-refer-to-in-power-bicopy-2/)
- [44. What does the "Data View" in Power BI show?Copy](https://codecodence.com/questions/44-what-does-the-data-view-in-power-bi-showcopy-2/)
- [38. Which DAX function would you use to return the distinct values from a column?Copy](https://codecodence.com/questions/38-which-dax-function-would-you-use-to-return-the-distinct-values-from-a-columncopy-2/)
- [7. Which of the following is a method for filtering data in Power BI?Copy](https://codecodence.com/questions/7-which-of-the-following-is-a-method-for-filtering-data-in-power-bicopy-2/)
- [46. What does the "Refresh" button do in Power BI?Copy](https://codecodence.com/questions/46-what-does-the-refresh-button-do-in-power-bicopy-2/)
- [45. Which visualization would you use to show cumulative totals over time?Copy](https://codecodence.com/questions/45-which-visualization-would-you-use-to-show-cumulative-totals-over-timecopy-2/)
- [21. What is a "row-level security" in Power BI?Copy](https://codecodence.com/questions/21-what-is-a-row-level-security-in-power-bicopy-2/)
- [10. What does the "Power Query" editor do in Power BI?Copy](https://codecodence.com/questions/10-what-does-the-power-query-editor-do-in-power-bicopy-2/)
- [8. What does the "Get Data" feature in Power BI allow you to do?Copy](https://codecodence.com/questions/8-what-does-the-get-data-feature-in-power-bi-allow-you-to-docopy-2/)
- [6. What is DAX in Power BI?Copy](https://codecodence.com/questions/6-what-is-dax-in-power-bicopy-2/)
- [12. What is the role of a Power BI dashboard?Copy](https://codecodence.com/questions/12-what-is-the-role-of-a-power-bi-dashboardcopy-2/)
- [22. What does the "Edit Queries" option allow you to do in Power BI?Copy](https://codecodence.com/questions/22-what-does-the-edit-queries-option-allow-you-to-do-in-power-bicopy-2/)
- [36. Which feature allows for the importation of Excel data into Power BI?Copy](https://codecodence.com/questions/36-which-feature-allows-for-the-importation-of-excel-data-into-power-bicopy-2/)
- [23. Which visual type can show multiple measures in Power BI?Copy](https://codecodence.com/questions/23-which-visual-type-can-show-multiple-measures-in-power-bicopy-2/)
- [30. What is the purpose of using slicers in Power BI?Copy](https://codecodence.com/questions/30-what-is-the-purpose-of-using-slicers-in-power-bicopy-2/)
- [45. Which statement is used to declare a constant in VBA?Copy](https://codecodence.com/questions/45-which-statement-is-used-to-declare-a-constant-in-vbacopy-2/)
- [7. What is the purpose of the For...Next loop in VBA?Copy](https://codecodence.com/questions/7-what-is-the-purpose-of-the-for-next-loop-in-vbacopy-2/)
- [8. What is the correct way to comment a line in VBA?Copy](https://codecodence.com/questions/8-what-is-the-correct-way-to-comment-a-line-in-vbacopy-2/)
- [37. How can you prompt a user for input in VBA?Copy](https://codecodence.com/questions/37-how-can-you-prompt-a-user-for-input-in-vbacopy-2/)
- [9. Which function is used to convert a string to a number in VBA?Copy](https://codecodence.com/questions/9-which-function-is-used-to-convert-a-string-to-a-number-in-vbacopy-2/)
- [27. What does the ActiveCell property refer to in VBA?Copy](https://codecodence.com/questions/27-what-does-the-activecell-property-refer-to-in-vbacopy-2/)
- [14. What is the purpose of the If...Then...Else statement in VBA?Copy](https://codecodence.com/questions/14-what-is-the-purpose-of-the-if-then-else-statement-in-vbacopy-2/)
- [44. How do you refer to a cell in a different worksheet using VBA?Copy](https://codecodence.com/questions/44-how-do-you-refer-to-a-cell-in-a-different-worksheet-using-vbacopy-2/)
- [2. Which Microsoft application is commonly associated with VBA?Copy](https://codecodence.com/questions/2-which-microsoft-application-is-commonly-associated-with-vbacopy-2/)
- [49. How can you declare an object variable in VBA?Copy](https://codecodence.com/questions/49-how-can-you-declare-an-object-variable-in-vbacopy-2/)
- [5. How do you create a message box in VBA?Copy](https://codecodence.com/questions/5-how-do-you-create-a-message-box-in-vbacopy-2/)
- [48. What does the WorksheetFunction object provide in VBA?Copy](https://codecodence.com/questions/48-what-does-the-worksheetfunction-object-provide-in-vbacopy-2/)
- [4. What is the purpose of the Sub keyword in VBA?Copy](https://codecodence.com/questions/4-what-is-the-purpose-of-the-sub-keyword-in-vbacopy-2/)
- [25. What is the purpose of the With statement in VBA?Copy](https://codecodence.com/questions/25-what-is-the-purpose-of-the-with-statement-in-vbacopy-2/)
- [43. What does the FileDialog object do in VBA?Copy](https://codecodence.com/questions/43-what-does-the-filedialog-object-do-in-vbacopy-2/)
- [36. What does the Do Until...Loop statement do in VBA?Copy](https://codecodence.com/questions/36-what-does-the-do-until-loop-statement-do-in-vbacopy-2/)
- [28. How do you concatenate strings in VBA?Copy](https://codecodence.com/questions/28-how-do-you-concatenate-strings-in-vbacopy-2/)
- [32. How do you convert a string to uppercase in VBA?Copy](https://codecodence.com/questions/32-how-do-you-convert-a-string-to-uppercase-in-vbacopy-2/)
- [34. Which property of the Worksheet object allows you to hide a worksheet?Copy](https://codecodence.com/questions/34-which-property-of-the-worksheet-object-allows-you-to-hide-a-worksheetcopy-2/)
- [1. What does VBA stand for?Copy](https://codecodence.com/questions/1-what-does-vba-stand-forcopy-2/)
- [31. What is the purpose of the End Sub statement in VBA?Copy](https://codecodence.com/questions/31-what-is-the-purpose-of-the-end-sub-statement-in-vbacopy-2/)
- [40. What does the Private keyword indicate in VBA?Copy](https://codecodence.com/questions/40-what-does-the-private-keyword-indicate-in-vbacopy-2/)
- [3. Which of the following is a valid way to declare a variable in VBA?Copy](https://codecodence.com/questions/3-which-of-the-following-is-a-valid-way-to-declare-a-variable-in-vbacopy-2/)
- [23. Which of the following loops will run indefinitely?Copy](https://codecodence.com/questions/23-which-of-the-following-loops-will-run-indefinitelycopy-2/)
- [17. How can you refer to a cell in an Excel worksheet using VBA?Copy](https://codecodence.com/questions/17-how-can-you-refer-to-a-cell-in-an-excel-worksheet-using-vbacopy-2/)
- [15. Which of the following keywords is used to create a function in VBA?Copy](https://codecodence.com/questions/15-which-of-the-following-keywords-is-used-to-create-a-function-in-vbacopy-2/)
- [26. How do you create a UserForm in VBA?Copy](https://codecodence.com/questions/26-how-do-you-create-a-userform-in-vbacopy-2/)
- [30. Which function is used to find the length of a string in VBA?Copy](https://codecodence.com/questions/30-which-function-is-used-to-find-the-length-of-a-string-in-vbacopy-2/)
- [41. What does the Private keyword indicate in VBA?Copy](https://codecodence.com/questions/41-what-does-the-private-keyword-indicate-in-vbacopy-2/)
- [10. What does the Dim keyword do in VBA?Copy](https://codecodence.com/questions/10-what-does-the-dim-keyword-do-in-vbacopy-2/)
- [13. How do you declare a constant in VBA?Copy](https://codecodence.com/questions/13-how-do-you-declare-a-constant-in-vbacopy-2/)
- [21. What does the Application object represent in VBA?Copy](https://codecodence.com/questions/21-what-does-the-application-object-represent-in-vbacopy-2/)
- [29. What does the Range object represent in VBA?Copy](https://codecodence.com/questions/29-what-does-the-range-object-represent-in-vbacopy-2/)
- [38. Which event is triggered when a workbook is opened in Excel?Copy](https://codecodence.com/questions/38-which-event-is-triggered-when-a-workbook-is-opened-in-excelcopy-2/)
- [42. Which of the following can be used to store multiple values in a single variable?Copy](https://codecodence.com/questions/42-which-of-the-following-can-be-used-to-store-multiple-values-in-a-single-variablecopy-2/)
- [46. What is the output of the following code? MsgBox 2 + 2Copy](https://codecodence.com/questions/46-what-is-the-output-of-the-following-code-msgbox-2-2copy-2/)
- [12. What does the MsgBox function return?Copy](https://codecodence.com/questions/12-what-does-the-msgbox-function-returncopy-2/)
- [39. What does the Public keyword indicate in VBA?Copy](https://codecodence.com/questions/39-what-does-the-public-keyword-indicate-in-vbacopy-2/)
- [35. What is the correct way to refer to the second sheet in a workbook?Copy](https://codecodence.com/questions/35-what-is-the-correct-way-to-refer-to-the-second-sheet-in-a-workbookcopy-2/)
- [19. What does the Do While...Loop statement do in VBA?Copy](https://codecodence.com/questions/19-what-does-the-do-while-loop-statement-do-in-vbacopy-2/)
- [50. What is the purpose of the End statement in VBA?Copy](https://codecodence.com/questions/50-what-is-the-purpose-of-the-end-statement-in-vbacopy-2/)
- [20. Which of the following is used to handle errors in VBA?Copy](https://codecodence.com/questions/20-which-of-the-following-is-used-to-handle-errors-in-vbacopy-2/)
- [22. What does the "Data Source" tab in Tableau allow you to do?Copy](https://codecodence.com/questions/22-what-does-the-data-source-tab-in-tableau-allow-you-to-docopy-2/)
- [31. Which of the following functions is used to create a running total in Tableau?Copy](https://codecodence.com/questions/31-which-of-the-following-functions-is-used-to-create-a-running-total-in-tableaucopy-2/)
- [50. Which visualization is best for displaying continuous data across a timeline?Copy](https://codecodence.com/questions/50-which-visualization-is-best-for-displaying-continuous-data-across-a-timelinecopy-2/)
- [32. What is the main advantage of using Tableau Server?Copy](https://codecodence.com/questions/32-what-is-the-main-advantage-of-using-tableau-servercopy-2/)
- [43. What is the purpose of using "annotations" in Tableau?Copy](https://codecodence.com/questions/43-what-is-the-purpose-of-using-annotations-in-tableaucopy-2/)
- [4. What is a "worksheet" in Tableau?Copy](https://codecodence.com/questions/4-what-is-a-worksheet-in-tableaucopy-2/)
- [16. What is the use of "tooltips" in Tableau?Copy](https://codecodence.com/questions/16-what-is-the-use-of-tooltips-in-tableaucopy-2/)
- [46. What does the "Size" shelf do in Tableau?Copy](https://codecodence.com/questions/46-what-does-the-size-shelf-do-in-tableaucopy-2/)
- [7. What is the primary purpose of using "filters" in Tableau?Copy](https://codecodence.com/questions/7-what-is-the-primary-purpose-of-using-filters-in-tableaucopy-2/)
- [15. What type of chart is best for comparing values across categories?Copy](https://codecodence.com/questions/15-what-type-of-chart-is-best-for-comparing-values-across-categoriescopy-2/)
- [42. What is a "data extract" in Tableau?Copy](https://codecodence.com/questions/42-what-is-a-data-extract-in-tableaucopy-2/)
- [38. What is the purpose of a "reference line" in Tableau?Copy](https://codecodence.com/questions/38-what-is-the-purpose-of-a-reference-line-in-tableaucopy-2/)
- [30. What type of join does Tableau use when combining data from different sources?Copy](https://codecodence.com/questions/30-what-type-of-join-does-tableau-use-when-combining-data-from-different-sourcescopy-2/)
- [25. What is the purpose of "parameters" in Tableau?Copy](https://codecodence.com/questions/25-what-is-the-purpose-of-parameters-in-tableaucopy-2/)
- [33. Which chart is suitable for visualizing hierarchical data?Copy](https://codecodence.com/questions/33-which-chart-is-suitable-for-visualizing-hierarchical-datacopy-2/)
- [37. Which of the following allows you to create a conditional formatting rule in Tableau?Copy](https://codecodence.com/questions/37-which-of-the-following-allows-you-to-create-a-conditional-formatting-rule-in-tableaucopy-2/)
- [8. What does the "Show Me" panel do in Tableau?Copy](https://codecodence.com/questions/8-what-does-the-show-me-panel-do-in-tableaucopy-2/)
- [40. Which visualization would you use to show a relationship between multiple measures?Copy](https://codecodence.com/questions/40-which-visualization-would-you-use-to-show-a-relationship-between-multiple-measurescopy-2/)
- [9. Which chart type is best for showing parts of a whole in Tableau?Copy](https://codecodence.com/questions/9-which-chart-type-is-best-for-showing-parts-of-a-whole-in-tableaucopy-2/)
- [13. What is the purpose of using "groups" in Tableau?Copy](https://codecodence.com/questions/13-what-is-the-purpose-of-using-groups-in-tableaucopy-2/)
- [11. What does the term "data blending" refer to in Tableau?Copy](https://codecodence.com/questions/11-what-does-the-term-data-blending-refer-to-in-tableaucopy-2/)
- [14. What does Tableau use to connect to live data sources?Copy](https://codecodence.com/questions/14-what-does-tableau-use-to-connect-to-live-data-sourcescopy-2/)
- [30. Which feature allows you to automatically fill cells with data based on a pattern?Copy](https://codecodence.com/questions/30-which-feature-allows-you-to-automatically-fill-cells-with-data-based-on-a-patterncopy-2/)
- [33. Which function can be used to calculate the standard deviation?Copy](https://codecodence.com/questions/33-which-function-can-be-used-to-calculate-the-standard-deviationcopy-2/)
- [31. What does the SUBSTITUTE function do?Copy](https://codecodence.com/questions/31-what-does-the-substitute-function-docopy-2/)
- [39. What does the ARRAY formula allow you to do?Copy](https://codecodence.com/questions/39-what-does-the-array-formula-allow-you-to-docopy-2/)
- [36. What does the LEN function do?Copy](https://codecodence.com/questions/36-what-does-the-len-function-docopy-2/)
- [6. What is the purpose of a Pivot Table?Copy](https://codecodence.com/questions/6-what-is-the-purpose-of-a-pivot-tablecopy-2/)
- [23. Which feature allows you to combine multiple cells into one?Copy](https://codecodence.com/questions/23-which-feature-allows-you-to-combine-multiple-cells-into-onecopy-2/)
- [19. Which tool allows for advanced data analysis and manipulation?Copy](https://codecodence.com/questions/19-which-tool-allows-for-advanced-data-analysis-and-manipulationcopy-2/)
- [40. What is the purpose of a dashboard in Excel?Copy](https://codecodence.com/questions/40-what-is-the-purpose-of-a-dashboard-in-excelcopy-2/)
- [12. What is the purpose of the TEXT function?Copy](https://codecodence.com/questions/12-what-is-the-purpose-of-the-text-functioncopy-2/)
- [50. What does the XLOOKUP function do?Copy](https://codecodence.com/questions/50-what-does-the-xlookup-function-docopy-2/)
- [10. What is the shortcut for adding a new worksheet in Excel?Copy](https://codecodence.com/questions/10-what-is-the-shortcut-for-adding-a-new-worksheet-in-excelcopy-2/)
- [5. Which feature allows you to see all data in a worksheet?Copy](https://codecodence.com/questions/5-which-feature-allows-you-to-see-all-data-in-a-worksheetcopy-2/)
- [17. Which function can be used to join text from multiple cells?Copy](https://codecodence.com/questions/17-which-function-can-be-used-to-join-text-from-multiple-cellscopy-2/)
- [42. What does the RANDBETWEEN function do?Copy](https://codecodence.com/questions/42-what-does-the-randbetween-function-docopy-2/)
- [47. What is the function of the Freeze Panes feature?Copy](https://codecodence.com/questions/47-what-is-the-function-of-the-freeze-panes-featurecopy-2/)
- [32. What is the default file extension for an Excel workbook?Copy](https://codecodence.com/questions/32-what-is-the-default-file-extension-for-an-excel-workbookcopy-2/)
- [8. Which formula can be used to find the highest value in a range?Copy](https://codecodence.com/questions/8-which-formula-can-be-used-to-find-the-highest-value-in-a-rangecopy-2/)
- [3. What is the purpose of the IF function?Copy](https://codecodence.com/questions/3-what-is-the-purpose-of-the-if-functioncopy-2/)
- [46. Which of the following functions can return the current time?Copy](https://codecodence.com/questions/46-which-of-the-following-functions-can-return-the-current-timecopy-2/)
- [7. What does the SUMIF function do?Copy](https://codecodence.com/questions/7-what-does-the-sumif-function-docopy-2/)
- [37. Which function is used to retrieve data from a database?Copy](https://codecodence.com/questions/37-which-function-is-used-to-retrieve-data-from-a-databasecopy-2/)
- [15. Which function is used to calculate the average of a range of numbers?Copy](https://codecodence.com/questions/15-which-function-is-used-to-calculate-the-average-of-a-range-of-numberscopy-2/)
- [38. What does the OFFSET function do?Copy](https://codecodence.com/questions/38-what-does-the-offset-function-docopy-2/)
- [27. What is the shortcut for copying formatting in Excel?Copy](https://codecodence.com/questions/27-what-is-the-shortcut-for-copying-formatting-in-excelcopy-2/)
- [29. What does the SUMPRODUCT function do?Copy](https://codecodence.com/questions/29-what-does-the-sumproduct-function-docopy-2/)
- [49. Which feature allows you to apply complex filters to your data?Copy](https://codecodence.com/questions/49-which-feature-allows-you-to-apply-complex-filters-to-your-datacopy-2/)
- [11. Which function can be used to return the current date?Copy](https://codecodence.com/questions/11-which-function-can-be-used-to-return-the-current-datecopy-2/)
- [18. What is the purpose of conditional formatting?Copy](https://codecodence.com/questions/18-what-is-the-purpose-of-conditional-formattingcopy-2/)
- [22. What does the ROUND function do?Copy](https://codecodence.com/questions/22-what-does-the-round-function-docopy-2/)
- [1. Which function is used to look up values in a table?Copy](https://codecodence.com/questions/1-which-function-is-used-to-look-up-values-in-a-tablecopy-2/)
- [35. Which chart type is best for showing trends over time?Copy](https://codecodence.com/questions/35-which-chart-type-is-best-for-showing-trends-over-timecopy-2/)
- [9. How can you protect a worksheet from editing?Copy](https://codecodence.com/questions/9-how-can-you-protect-a-worksheet-from-editingcopy-2/)
- [28. Which function returns the smallest value in a range?Copy](https://codecodence.com/questions/28-which-function-returns-the-smallest-value-in-a-rangecopy-2/)
- [20. What does the INDIRECT function do?Copy](https://codecodence.com/questions/20-what-does-the-indirect-function-docopy-2/)
- [14. What does the COUNTIF function do?Copy](https://codecodence.com/questions/14-what-does-the-countif-function-docopy-2/)
- [34. What is the purpose of the IFERROR function?Copy](https://codecodence.com/questions/34-what-is-the-purpose-of-the-iferror-functioncopy-2/)
- [16. What is the shortcut to open the Format Cells dialog box?Copy](https://codecodence.com/questions/16-what-is-the-shortcut-to-open-the-format-cells-dialog-boxcopy-2/)
- [45. What does the TRIM function do?Copy](https://codecodence.com/questions/45-what-does-the-trim-function-docopy-2/)
- [48. What does the MATCH function return?Copy](https://codecodence.com/questions/48-what-does-the-match-function-returncopy-2/)
- [4. What type of chart is best for showing parts of a whole?Copy](https://codecodence.com/questions/4-what-type-of-chart-is-best-for-showing-parts-of-a-wholecopy-2/)
- [41. Which function is used to calculate the number of working days between two dates?Copy](https://codecodence.com/questions/41-which-function-is-used-to-calculate-the-number-of-working-days-between-two-datescopy-2/)
- [24. What is the purpose of a scatter plot?Copy](https://codecodence.com/questions/24-what-is-the-purpose-of-a-scatter-plotcopy-2/)
- [26. What does the PMT function calculate?Copy](https://codecodence.com/questions/26-what-does-the-pmt-function-calculatecopy-2/)
- [44. Which tool can help analyze the impact of changing variables in formulas?Copy](https://codecodence.com/questions/44-which-tool-can-help-analyze-the-impact-of-changing-variables-in-formulascopy-2/)
- [21. Which of the following is used to create a data table?Copy](https://codecodence.com/questions/21-which-of-the-following-is-used-to-create-a-data-tablecopy-2/)
- [33. What is the purpose of the Array function in VBA?Copy](https://codecodence.com/questions/33-what-is-the-purpose-of-the-array-function-in-vbacopy-2/)
- [47. Which of the following will NOT trigger a macro?Copy](https://codecodence.com/questions/47-which-of-the-following-will-not-trigger-a-macrocopy-2/)
- [11. Which of the following is NOT a data type in VBA?Copy](https://codecodence.com/questions/11-which-of-the-following-is-not-a-data-type-in-vbacopy-2/)
- [22. How do you access a property of an object in VBA?Copy](https://codecodence.com/questions/22-how-do-you-access-a-property-of-an-object-in-vbacopy-2/)
- [24. What is the purpose of the Set keyword in VBA?Copy](https://codecodence.com/questions/24-what-is-the-purpose-of-the-set-keyword-in-vbacopy-2/)
- [18. Which of the following is a valid way to create an array in VBA?Copy](https://codecodence.com/questions/18-which-of-the-following-is-a-valid-way-to-create-an-array-in-vbacopy-2/)
- [6. Which of the following statements is used to end a loop in VBA?Copy](https://codecodence.com/questions/6-which-of-the-following-statements-is-used-to-end-a-loop-in-vbacopy-2/)
- [16. What does the Select Case statement do in VBA?Copy](https://codecodence.com/questions/16-what-does-the-select-case-statement-do-in-vbacopy-2/)
- [35. Which of the following is a type of neural network?Copy](https://codecodence.com/questions/35-which-of-the-following-is-a-type-of-neural-networkcopy/)
- [6. Which technique is used to prevent overfitting?Copy](https://codecodence.com/questions/6-which-technique-is-used-to-prevent-overfittingcopy/)
- [45. Which machine learning technique is best for predicting a continuous output variable?Copy](https://codecodence.com/questions/45-which-machine-learning-technique-is-best-for-predicting-a-continuous-output-variablecopy/)
- [22. What is the difference between bagging and boosting?Copy](https://codecodence.com/questions/22-what-is-the-difference-between-bagging-and-boostingcopy/)
- [14. What does LSTM stand for?Copy](https://codecodence.com/questions/14-what-does-lstm-stand-forcopy/)
- [11. Which of the following is a popular framework for deep learning?Copy](https://codecodence.com/questions/11-which-of-the-following-is-a-popular-framework-for-deep-learningcopy/)
- [21. Which of the following techniques is used for data augmentation?Copy](https://codecodence.com/questions/21-which-of-the-following-techniques-is-used-for-data-augmentationcopy/)
- [13. What is a Generative Adversarial Network (GAN)?Copy](https://codecodence.com/questions/13-what-is-a-generative-adversarial-network-gancopy/)
- [5. What does the term 'overfitting' refer to in the context of deep learning?Copy](https://codecodence.com/questions/5-what-does-the-term-overfitting-refer-to-in-the-context-of-deep-learningcopy/)
- [24. Which of the following can be considered a hyperparameter?Copy](https://codecodence.com/questions/24-which-of-the-following-can-be-considered-a-hyperparametercopy/)
- [15. Which type of network is best suited for sequential data?Copy](https://codecodence.com/questions/15-which-type-of-network-is-best-suited-for-sequential-datacopy/)
- [44. Which neural network architecture is particularly effective for time-series prediction?Copy](https://codecodence.com/questions/44-which-neural-network-architecture-is-particularly-effective-for-time-series-predictioncopy/)
- [17. What is transfer learning?Copy](https://codecodence.com/questions/17-what-is-transfer-learningcopy/)
- [42. What is a common challenge when training deep neural networks?Copy](https://codecodence.com/questions/42-what-is-a-common-challenge-when-training-deep-neural-networkscopy/)
- [45. What does 'regularization' do in deep learning?Copy](https://codecodence.com/questions/45-what-does-regularization-do-in-deep-learningcopy/)
- [8. What is the purpose of pooling layers in CNNs?Copy](https://codecodence.com/questions/8-what-is-the-purpose-of-pooling-layers-in-cnnscopy/)
- [22. What is the primary purpose of a loss function in deep learning?Copy](https://codecodence.com/questions/22-what-is-the-primary-purpose-of-a-loss-function-in-deep-learningcopy/)
- [29. Which of the following is an example of unsupervised learning in deep learning?Copy](https://codecodence.com/questions/29-which-of-the-following-is-an-example-of-unsupervised-learning-in-deep-learningcopy/)
- [37. What type of neural network is best for generating new data samples?Copy](https://codecodence.com/questions/37-what-type-of-neural-network-is-best-for-generating-new-data-samplescopy/)
- [7. Which of the following is NOT a type of layer in a neural network?Copy](https://codecodence.com/questions/7-which-of-the-following-is-not-a-type-of-layer-in-a-neural-networkcopy/)
- [4. Which type of neural network is primarily used for image recognition tasks?Copy](https://codecodence.com/questions/4-which-type-of-neural-network-is-primarily-used-for-image-recognition-taskscopy/)
- [25. What is a common use case for Recurrent Neural Networks (RNNs)?Copy](https://codecodence.com/questions/25-what-is-a-common-use-case-for-recurrent-neural-networks-rnnscopy/)
- [46. Which of the following is a method to initialize weights in deep learning?Copy](https://codecodence.com/questions/46-which-of-the-following-is-a-method-to-initialize-weights-in-deep-learningcopy/)
- [32. What is the role of a fully connected layer in a neural network?Copy](https://codecodence.com/questions/32-what-is-the-role-of-a-fully-connected-layer-in-a-neural-networkcopy/)
- [39. Which of the following is a common application of deep learning?Copy](https://codecodence.com/questions/39-which-of-the-following-is-a-common-application-of-deep-learningcopy/)
- [20. What does 'vanishing gradient problem' refer to?Copy](https://codecodence.com/questions/20-what-does-vanishing-gradient-problem-refer-tocopy/)
- [3. What is the purpose of an activation function in a neural network?Copy](https://codecodence.com/questions/3-what-is-the-purpose-of-an-activation-function-in-a-neural-networkcopy/)
- [38. Which of the following is a common application of deep learning?Copy](https://codecodence.com/questions/38-which-of-the-following-is-a-common-application-of-deep-learningcopy/)
- [2. Which of the following is a commonly used activation function?Copy](https://codecodence.com/questions/2-which-of-the-following-is-a-commonly-used-activation-functioncopy/)
- [18. What type of data can CNNs process effectively?Copy](https://codecodence.com/questions/18-what-type-of-data-can-cnns-process-effectivelycopy/)
- [30. What is the purpose of using an optimizer in deep learning?Copy](https://codecodence.com/questions/30-what-is-the-purpose-of-using-an-optimizer-in-deep-learningcopy/)
- [16. What is the purpose of a learning rate in training neural networks?Copy](https://codecodence.com/questions/16-what-is-the-purpose-of-a-learning-rate-in-training-neural-networkscopy/)
- [34. What is the main advantage of using deep learning over traditional machine learning methods?Copy](https://codecodence.com/questions/34-what-is-the-main-advantage-of-using-deep-learning-over-traditional-machine-learning-methodscopy/)
- [12. What is the purpose of dropout in deep learning?Copy](https://codecodence.com/questions/12-what-is-the-purpose-of-dropout-in-deep-learningcopy/)
- [47. What is the main purpose of using dropout layers during training?Copy](https://codecodence.com/questions/47-what-is-the-main-purpose-of-using-dropout-layers-during-trainingcopy/)
- [49. What is the output of a neural network with a Softmax activation function?Copy](https://codecodence.com/questions/49-what-is-the-output-of-a-neural-network-with-a-softmax-activation-functioncopy/)
- [26. What does the term 'exploding gradients' refer to?Copy](https://codecodence.com/questions/26-what-does-the-term-exploding-gradients-refer-tocopy/)
- [9. Which algorithm is commonly used for training deep learning models?Copy](https://codecodence.com/questions/9-which-algorithm-is-commonly-used-for-training-deep-learning-modelscopy/)
- [31. Which activation function is commonly used in the output layer for binary classification?Copy](https://codecodence.com/questions/31-which-activation-function-is-commonly-used-in-the-output-layer-for-binary-classificationcopy/)
- [6. What is a convolution in a Convolutional Neural Network (CNN)?Copy](https://codecodence.com/questions/6-what-is-a-convolution-in-a-convolutional-neural-network-cnncopy/)
- [41. In deep learning, what does the term 'fine-tuning' refer to?Copy](https://codecodence.com/questions/41-in-deep-learning-what-does-the-term-fine-tuning-refer-tocopy/)
- [50. What is the key difference between a traditional neural network and a convolutional neural network?Copy](https://codecodence.com/questions/50-what-is-the-key-difference-between-a-traditional-neural-network-and-a-convolutional-neural-networkcopy/)
- [40. What is the primary function of a Softmax activation function?Copy](https://codecodence.com/questions/40-what-is-the-primary-function-of-a-softmax-activation-functioncopy/)
- [33. Which technique is used to improve the generalization of deep learning models?Copy](https://codecodence.com/questions/33-which-technique-is-used-to-improve-the-generalization-of-deep-learning-modelscopy/)
- [1. What is deep learning?Copy](https://codecodence.com/questions/1-what-is-deep-learningcopy/)
- [19. What is batch normalization used for in deep learning?Copy](https://codecodence.com/questions/19-what-is-batch-normalization-used-for-in-deep-learningcopy/)
- [43. Which of the following techniques is commonly used for model evaluation in deep learning?Copy](https://codecodence.com/questions/43-which-of-the-following-techniques-is-commonly-used-for-model-evaluation-in-deep-learningcopy/)
- [27. Which of the following is a characteristic of a Convolutional Neural Network (CNN)?Copy](https://codecodence.com/questions/27-which-of-the-following-is-a-characteristic-of-a-convolutional-neural-network-cnncopy/)
- [28. What is the function of a loss landscape in deep learning?Copy](https://codecodence.com/questions/28-what-is-the-function-of-a-loss-landscape-in-deep-learningcopy/)
- [35. Which of the following describes a "dropout" layer in a neural network?Copy](https://codecodence.com/questions/35-which-of-the-following-describes-a-dropout-layer-in-a-neural-networkcopy/)
- [23. Which of the following is NOT a common loss function for deep learning?Copy](https://codecodence.com/questions/23-which-of-the-following-is-not-a-common-loss-function-for-deep-learningcopy/)
- [10. What does the term 'backpropagation' refer to?Copy](https://codecodence.com/questions/10-what-does-the-term-backpropagation-refer-tocopy/)
- [48. Which of the following describes the role of an embedding layer?Copy](https://codecodence.com/questions/48-which-of-the-following-describes-the-role-of-an-embedding-layercopy/)
- [36. What is the role of the input layer in a neural network?Copy](https://codecodence.com/questions/36-what-is-the-role-of-the-input-layer-in-a-neural-networkcopy/)
- [13. Which of the following can be used to create a drop-down list?Copy](https://codecodence.com/questions/13-which-of-the-following-can-be-used-to-create-a-drop-down-listcopy-2/)
- [2. What does the CONCATENATE function do?Copy](https://codecodence.com/questions/2-what-does-the-concatenate-function-docopy-2/)
- [43. What is the primary purpose of using pivot charts?Copy](https://codecodence.com/questions/43-what-is-the-primary-purpose-of-using-pivot-chartscopy-2/)
- [25. Which function is used to determine if a value is an error?Copy](https://codecodence.com/questions/25-which-function-is-used-to-determine-if-a-value-is-an-errorcopy-2/)
- [48. Which of the following is a characteristic of the Poisson distribution?Copy](https://codecodence.com/questions/48-which-of-the-following-is-a-characteristic-of-the-poisson-distributioncopy-3/)
- [6. Which type of data takes on discrete values?Copy](https://codecodence.com/questions/6-which-type-of-data-takes-on-discrete-valuescopy-3/)
- [23. What is a confidence interval?Copy](https://codecodence.com/questions/23-what-is-a-confidence-intervalcopy-3/)
- [27. What does ANOVA test for?Copy](https://codecodence.com/questions/27-what-does-anova-test-forcopy-3/)
- [8. What is a histogram used for?Copy](https://codecodence.com/questions/8-what-is-a-histogram-used-forcopy-3/)
- [20. Which measure is most affected by outliers?Copy](https://codecodence.com/questions/20-which-measure-is-most-affected-by-outlierscopy-3/)
- [15. What does correlation measure?Copy](https://codecodence.com/questions/15-what-does-correlation-measurecopy-3/)
- [13. Which graphical representation shows quartiles?Copy](https://codecodence.com/questions/13-which-graphical-representation-shows-quartilescopy-3/)
- [11. Which branch of statistics focuses on drawing conclusions from data?Copy](https://codecodence.com/questions/11-which-branch-of-statistics-focuses-on-drawing-conclusions-from-datacopy-3/)
- [32. Which test is used to compare the means of two samples?Copy](https://codecodence.com/questions/32-which-test-is-used-to-compare-the-means-of-two-samplescopy-3/)
- [21. What is a Type I error?Copy](https://codecodence.com/questions/21-what-is-a-type-i-errorcopy-3/)
- [9. What is the variance if all data points are identical?Copy](https://codecodence.com/questions/9-what-is-the-variance-if-all-data-points-are-identicalcopy-3/)
- [10. What does a positively skewed distribution look like?Copy](https://codecodence.com/questions/10-what-does-a-positively-skewed-distribution-look-likecopy-3/)
- [4. What is the range of the numbers 15, 10, 25, 30, 5?Copy](https://codecodence.com/questions/4-what-is-the-range-of-the-numbers-15-10-25-30-5copy-3/)
- [42. Which of the following is not a characteristic of a normal distribution?Copy](https://codecodence.com/questions/42-which-of-the-following-is-not-a-characteristic-of-a-normal-distributioncopy-3/)
- [1. What is the main goal of supervised learning?Copy](https://codecodence.com/questions/1-what-is-the-main-goal-of-supervised-learningcopy/)
- [39. What does the term 'learning rate' refer to?Copy](https://codecodence.com/questions/39-what-does-the-term-learning-rate-refer-tocopy/)
- [36. What is the main advantage of using ensemble methods?Copy](https://codecodence.com/questions/36-what-is-the-main-advantage-of-using-ensemble-methodscopy/)
- [8. Which of the following is a clustering algorithm?Copy](https://codecodence.com/questions/8-which-of-the-following-is-a-clustering-algorithmcopy/)
- [12. In which scenario would you use a confusion matrix?Copy](https://codecodence.com/questions/12-in-which-scenario-would-you-use-a-confusion-matrixcopy/)
- [23. Which of the following techniques can be used to handle missing data?Copy](https://codecodence.com/questions/23-which-of-the-following-techniques-can-be-used-to-handle-missing-datacopy/)
- [26. What is the purpose of one-hot encoding?Copy](https://codecodence.com/questions/26-what-is-the-purpose-of-one-hot-encodingcopy/)
- [33. Which of the following is a type of unsupervised learning?Copy](https://codecodence.com/questions/33-which-of-the-following-is-a-type-of-unsupervised-learningcopy/)
- [15. Which algorithm is best suited for high-dimensional data?Copy](https://codecodence.com/questions/15-which-algorithm-is-best-suited-for-high-dimensional-datacopy/)
- [4. Which algorithm is used for classification tasks?Copy](https://codecodence.com/questions/4-which-algorithm-is-used-for-classification-taskscopy/)
- [32. What does the term 'feature engineering' refer to?Copy](https://codecodence.com/questions/32-what-does-the-term-feature-engineering-refer-tocopy/)
- [14. What is the purpose of the training set in machine learning?Copy](https://codecodence.com/questions/14-what-is-the-purpose-of-the-training-set-in-machine-learningcopy/)
- [47. Which of the following is a key assumption of linear regression?Copy](https://codecodence.com/questions/47-which-of-the-following-is-a-key-assumption-of-linear-regressioncopy/)
- [44. In machine learning, what is 'label encoding'?Copy](https://codecodence.com/questions/44-in-machine-learning-what-is-label-encodingcopy/)
- [20. What does the term 'gradient descent' refer to?Copy](https://codecodence.com/questions/20-what-does-the-term-gradient-descent-refer-tocopy/)
- [18. What is the main purpose of a cost function in machine learning?Copy](https://codecodence.com/questions/18-what-is-the-main-purpose-of-a-cost-function-in-machine-learningcopy/)
- [19. Which of the following is an example of regression analysis?Copy](https://codecodence.com/questions/19-which-of-the-following-is-an-example-of-regression-analysiscopy/)
- [31. Which type of model is best for a large dataset with many features?Copy](https://codecodence.com/questions/31-which-type-of-model-is-best-for-a-large-dataset-with-many-featurescopy/)
- [11. Which of the following is NOT a type of supervised learning?Copy](https://codecodence.com/questions/11-which-of-the-following-is-not-a-type-of-supervised-learningcopy/)
- [46. What is a common use of the K-Nearest Neighbors algorithm?Copy](https://codecodence.com/questions/46-what-is-a-common-use-of-the-k-nearest-neighbors-algorithmcopy/)
- [30. What is the purpose of normalization in data preprocessing?Copy](https://codecodence.com/questions/30-what-is-the-purpose-of-normalization-in-data-preprocessingcopy/)
- [41. What is the purpose of the ROC curve?Copy](https://codecodence.com/questions/41-what-is-the-purpose-of-the-roc-curvecopy/)
- [24. What is reinforcement learning?Copy](https://codecodence.com/questions/24-what-is-reinforcement-learningcopy/)
- [3. What is overfitting in machine learning?Copy](https://codecodence.com/questions/3-what-is-overfitting-in-machine-learningcopy/)
- [21. Which of the following is a disadvantage of using a decision tree?Copy](https://codecodence.com/questions/21-which-of-the-following-is-a-disadvantage-of-using-a-decision-treecopy/)
- [7. What is the purpose of feature scaling in machine learning?Copy](https://codecodence.com/questions/7-what-is-the-purpose-of-feature-scaling-in-machine-learningcopy/)
- [48. What does the term 'ensemble learning' refer to?Copy](https://codecodence.com/questions/48-what-does-the-term-ensemble-learning-refer-tocopy/)
- [10. What is a hyperparameter in machine learning?Copy](https://codecodence.com/questions/10-what-is-a-hyperparameter-in-machine-learningcopy/)
- [38. Which of the following is a common loss function for regression?Copy](https://codecodence.com/questions/38-which-of-the-following-is-a-common-loss-function-for-regressioncopy/)
- [27. What is the role of the validation set in machine learning?Copy](https://codecodence.com/questions/27-what-is-the-role-of-the-validation-set-in-machine-learningcopy/)
- [16. What is cross-validation?Copy](https://codecodence.com/questions/16-what-is-cross-validationcopy/)
- [2. Which of the following is an example of a supervised learning algorithm?Copy](https://codecodence.com/questions/2-which-of-the-following-is-an-example-of-a-supervised-learning-algorithmcopy/)
- [34. What is the primary challenge in training deep learning models?Copy](https://codecodence.com/questions/34-what-is-the-primary-challenge-in-training-deep-learning-modelscopy/)
- [43. What is the primary purpose of data preprocessing?Copy](https://codecodence.com/questions/43-what-is-the-primary-purpose-of-data-preprocessingcopy/)
- [40. Which of the following is NOT a type of neural network architecture?Copy](https://codecodence.com/questions/40-which-of-the-following-is-not-a-type-of-neural-network-architecturecopy/)
- [5. In the context of machine learning, what does 'bias' refer to?Copy](https://codecodence.com/questions/5-in-the-context-of-machine-learning-what-does-bias-refer-tocopy/)
- [13. Which metric is commonly used for evaluating classification models?Copy](https://codecodence.com/questions/13-which-metric-is-commonly-used-for-evaluating-classification-modelscopy/)
- [25. Which of the following is NOT a common method for feature selection?Copy](https://codecodence.com/questions/25-which-of-the-following-is-not-a-common-method-for-feature-selectioncopy/)
- [17. Which of the following is an ensemble learning technique?Copy](https://codecodence.com/questions/17-which-of-the-following-is-an-ensemble-learning-techniquecopy/)
- [28. Which of the following is a characteristic of deep learning?Copy](https://codecodence.com/questions/28-which-of-the-following-is-a-characteristic-of-deep-learningcopy/)
- [49. Which of the following is an example of a reinforcement learning application?Copy](https://codecodence.com/questions/49-which-of-the-following-is-an-example-of-a-reinforcement-learning-applicationcopy/)
- [29. Which technique is used for dimensionality reduction?Copy](https://codecodence.com/questions/29-which-technique-is-used-for-dimensionality-reductioncopy/)
- [37. What does 'AUC' stand for in the context of classification?Copy](https://codecodence.com/questions/37-what-does-auc-stand-for-in-the-context-of-classificationcopy/)
- [42. Which of the following is a popular Python library for machine learning?Copy](https://codecodence.com/questions/42-which-of-the-following-is-a-popular-python-library-for-machine-learningcopy/)
- [9. What does PCA stand for?Copy](https://codecodence.com/questions/9-what-does-pca-stand-forcopy/)
- [50. What is the purpose of the F1 score in classification tasks?Copy](https://codecodence.com/questions/50-what-is-the-purpose-of-the-f1-score-in-classification-taskscopy/)
- [38. How do you display column names in Pandas?Copy](https://codecodence.com/questions/38-how-do-you-display-column-names-in-pandascopy-3/)
- [32. What does df.info() provide?Copy](https://codecodence.com/questions/32-what-does-df-info-providecopy-3/)
- [50. How do you fill missing values in a DataFrame?Copy](https://codecodence.com/questions/50-how-do-you-fill-missing-values-in-a-dataframecopy-3/)
- [26. Which function displays a box plot in Seaborn?Copy](https://codecodence.com/questions/26-which-function-displays-a-box-plot-in-seaborncopy-3/)
- [3. Which function in NumPy creates an array of zeros?Copy](https://codecodence.com/questions/3-which-function-in-numpy-creates-an-array-of-zeroscopy-3/)
- [17. How do you create a correlation heatmap using Seaborn?Copy](https://codecodence.com/questions/17-how-do-you-create-a-correlation-heatmap-using-seaborncopy-3/)
- [24. How do you display the first 5 rows of a DataFrame?Copy](https://codecodence.com/questions/24-how-do-you-display-the-first-5-rows-of-a-dataframecopy-3/)
- [14. What does np.random.rand() generate?Copy](https://codecodence.com/questions/14-what-does-np-random-rand-generatecopy-3/)
- [21. What does plt.show() do?Copy](https://codecodence.com/questions/21-what-does-plt-show-docopy-3/)
- [41. What does df.describe() return in Pandas?Copy](https://codecodence.com/questions/41-what-does-df-describe-return-in-pandascopy-3/)
- [48. Which function converts a NumPy array to a Pandas DataFrame?Copy](https://codecodence.com/questions/48-which-function-converts-a-numpy-array-to-a-pandas-dataframecopy-3/)
- [12. What type of plot is created using sns.barplot()?Copy](https://codecodence.com/questions/12-what-type-of-plot-is-created-using-sns-barplotcopy-3/)
- [20. Which Seaborn function shows the distribution of a dataset?Copy](https://codecodence.com/questions/20-which-seaborn-function-shows-the-distribution-of-a-datasetcopy-3/)
- [39. Which function gives a cumulative sum in Pandas?Copy](https://codecodence.com/questions/39-which-function-gives-a-cumulative-sum-in-pandascopy-3/)
- [5. Which function in Matplotlib creates a line plot?Copy](https://codecodence.com/questions/5-which-function-in-matplotlib-creates-a-line-plotcopy-3/)
- [4. How do you read a CSV file in Pandas?Copy](https://codecodence.com/questions/4-how-do-you-read-a-csv-file-in-pandascopy-3/)
- [31. Which function in NumPy creates an identity matrix?Copy](https://codecodence.com/questions/31-which-function-in-numpy-creates-an-identity-matrixcopy-3/)
- [46. What is the default backend for Matplotlib?Copy](https://codecodence.com/questions/46-what-is-the-default-backend-for-matplotlibcopy-3/)
- [30. Which Seaborn function shows a regression line?Copy](https://codecodence.com/questions/30-which-seaborn-function-shows-a-regression-linecopy-3/)
- [33. How do you plot multiple lines in Matplotlib?Copy](https://codecodence.com/questions/33-how-do-you-plot-multiple-lines-in-matplotlibcopy-3/)
- [35. Which method sorts a DataFrame by values?Copy](https://codecodence.com/questions/35-which-method-sorts-a-dataframe-by-valuescopy-3/)
- [13. How do you install NumPy?Copy](https://codecodence.com/questions/13-how-do-you-install-numpycopy-3/)
- [45. Which function reshapes an array in NumPy?Copy](https://codecodence.com/questions/45-which-function-reshapes-an-array-in-numpycopy-3/)
- [29. What type of plot does plt.hist() create?Copy](https://codecodence.com/questions/29-what-type-of-plot-does-plt-hist-createcopy-3/)
- [49. What does np.dot() perform?Copy](https://codecodence.com/questions/49-what-does-np-dot-performcopy-3/)
- [2. How do you import Pandas?Copy](https://codecodence.com/questions/2-how-do-you-import-pandascopy-3/)
- [6. Which Seaborn function is used for scatter plots?Copy](https://codecodence.com/questions/6-which-seaborn-function-is-used-for-scatter-plotscopy-3/)
- [1. What is the mean of the numbers 2, 4, 6, 8, 10?Copy](https://codecodence.com/questions/1-what-is-the-mean-of-the-numbers-2-4-6-8-10copy-3/)
- [5. Which of the following measures variability?Copy](https://codecodence.com/questions/5-which-of-the-following-measures-variabilitycopy-3/)
- [37. What is a discrete random variable?Copy](https://codecodence.com/questions/37-what-is-a-discrete-random-variablecopy-3/)
- [47. What is a cross-sectional study?Copy](https://codecodence.com/questions/47-what-is-a-cross-sectional-studycopy-3/)
- [19. What is the interquartile range (IQR)?Copy](https://codecodence.com/questions/19-what-is-the-interquartile-range-iqrcopy-3/)
- [29. What does a correlation coefficient of -1 indicate?Copy](https://codecodence.com/questions/29-what-does-a-correlation-coefficient-of-1-indicatecopy-3/)
- [24. What is the sum of probabilities in a probability distribution?Copy](https://codecodence.com/questions/24-what-is-the-sum-of-probabilities-in-a-probability-distributioncopy-3/)
- [44. Which statistical test is used for normally distributed data with unknown variances?Copy](https://codecodence.com/questions/44-which-statistical-test-is-used-for-normally-distributed-data-with-unknown-variancescopy-3/)
- [41. What does a sample represent in statistics?Copy](https://codecodence.com/questions/41-what-does-a-sample-represent-in-statisticscopy-3/)
- [49. What does the Central Limit Theorem state?Copy](https://codecodence.com/questions/49-what-does-the-central-limit-theorem-statecopy-3/)
- [35. What is the purpose of a scatter plot?Copy](https://codecodence.com/questions/35-what-is-the-purpose-of-a-scatter-plotcopy-3/)
- [12. What does the 50th percentile represent?Copy](https://codecodence.com/questions/12-what-does-the-50th-percentile-representcopy-3/)
- [45. What is the probability of rolling a sum of 7 with two dice?Copy](https://codecodence.com/questions/45-what-is-the-probability-of-rolling-a-sum-of-7-with-two-dicecopy-3/)
- [46. What is the significance level (alpha) in hypothesis testing?Copy](https://codecodence.com/questions/46-what-is-the-significance-level-alpha-in-hypothesis-testingcopy-3/)
- [50. Which of the following is a type of qualitative data?Copy](https://codecodence.com/questions/50-which-of-the-following-is-a-type-of-qualitative-datacopy-3/)
- [17. Which type of sampling divides the population into subgroups?Copy](https://codecodence.com/questions/17-which-type-of-sampling-divides-the-population-into-subgroupscopy-3/)
- [16. Which value represents the most frequent occurrence in a dataset?Copy](https://codecodence.com/questions/16-which-value-represents-the-most-frequent-occurrence-in-a-datasetcopy-3/)
- [34. What is a hypothesis?Copy](https://codecodence.com/questions/34-what-is-a-hypothesiscopy-3/)
- [38. Which distribution models the number of events in a fixed interval?Copy](https://codecodence.com/questions/38-which-distribution-models-the-number-of-events-in-a-fixed-intervalcopy-3/)
- [3. What is the mode of the numbers 3, 3, 5, 7, 8, 3, 9?Copy](https://codecodence.com/questions/3-what-is-the-mode-of-the-numbers-3-3-5-7-8-3-9copy-3/)
- [28. What is the median of the numbers 4, 7, 9, 10, 12?Copy](https://codecodence.com/questions/28-what-is-the-median-of-the-numbers-4-7-9-10-12copy-3/)
- [43. What is the purpose of hypothesis testing?Copy](https://codecodence.com/questions/43-what-is-the-purpose-of-hypothesis-testingcopy-3/)
- [18. What is the shape of a normal distribution?Copy](https://codecodence.com/questions/18-what-is-the-shape-of-a-normal-distributioncopy-3/)
- [31. What is a population in statistics?Copy](https://codecodence.com/questions/31-what-is-a-population-in-statisticscopy-3/)
- [36. Which measure indicates how spread out data values are?Copy](https://codecodence.com/questions/36-which-measure-indicates-how-spread-out-data-values-arecopy-3/)
- [26. What is the mean of a standard normal distribution?Copy](https://codecodence.com/questions/26-what-is-the-mean-of-a-standard-normal-distributioncopy-3/)
- [33. What does R² represent in regression analysis?Copy](https://codecodence.com/questions/33-what-does-r²-represent-in-regression-analysiscopy-3/)
- [25. Which of the following distributions is used for binary outcomes?Copy](https://codecodence.com/questions/25-which-of-the-following-distributions-is-used-for-binary-outcomescopy-3/)
- [22. What does a p-value less than 0.05 indicate?Copy](https://codecodence.com/questions/22-what-does-a-p-value-less-than-0-05-indicatecopy-3/)
- [30. Which test is used to compare proportions?Copy](https://codecodence.com/questions/30-which-test-is-used-to-compare-proportionscopy-3/)
- [40. What does a boxplot show?Copy](https://codecodence.com/questions/40-what-does-a-boxplot-showcopy-3/)
- [39. What is skewness?Copy](https://codecodence.com/questions/39-what-is-skewnesscopy-3/)
- [7. What is the probability of getting a head in a coin toss?Copy](https://codecodence.com/questions/7-what-is-the-probability-of-getting-a-head-in-a-coin-tosscopy-3/)
- [14. What does the Z-score measure?Copy](https://codecodence.com/questions/14-what-does-the-z-score-measurecopy-3/)
- [2. Which measure of central tendency is the middle value of a data set?Copy](https://codecodence.com/questions/2-which-measure-of-central-tendency-is-the-middle-value-of-a-data-setcopy-3/)
- [11. Which command removes a table from a database?Copy](https://codecodence.com/questions/11-which-command-removes-a-table-from-a-databasecopy-3/)
- [41. Which MySQL statement changes the password for a user?Copy](https://codecodence.com/questions/41-which-mysql-statement-changes-the-password-for-a-usercopy-3/)
- [6. What is a primary key?Copy](https://codecodence.com/questions/6-what-is-a-primary-keycopy-3/)
- [5. Which SQL clause is used to filter records?Copy](https://codecodence.com/questions/5-which-sql-clause-is-used-to-filter-recordscopy-3/)
- [12. Which command is used to modify an existing column?Copy](https://codecodence.com/questions/12-which-command-is-used-to-modify-an-existing-columncopy-3/)
- [8. Which function is used to find the length of a string?Copy](https://codecodence.com/questions/8-which-function-is-used-to-find-the-length-of-a-stringcopy-3/)
- [4. Which command deletes all rows from a table without logging individual row deletions?Copy](https://codecodence.com/questions/4-which-command-deletes-all-rows-from-a-table-without-logging-individual-row-deletionscopy-3/)
- [49. What is ACID in databases?Copy](https://codecodence.com/questions/49-what-is-acid-in-databasescopy-3/)
- [20. What is a view in MySQL?Copy](https://codecodence.com/questions/20-what-is-a-view-in-mysqlcopy-3/)
- [33. Which keyword creates an index on a table?Copy](https://codecodence.com/questions/33-which-keyword-creates-an-index-on-a-tablecopy-3/)
- [27. What is the purpose of the AUTO_INCREMENT attribute?Copy](https://codecodence.com/questions/27-what-is-the-purpose-of-the-auto_increment-attributecopy-3/)
- [13. What does the COUNT() function do?Copy](https://codecodence.com/questions/13-what-does-the-count-function-docopy-3/)
- [9. What is the default port for MySQL?Copy](https://codecodence.com/questions/9-what-is-the-default-port-for-mysqlcopy-3/)
- [34. How do you delete all rows in a table?Copy](https://codecodence.com/questions/34-how-do-you-delete-all-rows-in-a-tablecopy-3/)
- [30. What is a trigger in MySQL?Copy](https://codecodence.com/questions/30-what-is-a-trigger-in-mysqlcopy-3/)
- [32. What is the maximum size of VARCHAR?Copy](https://codecodence.com/questions/32-what-is-the-maximum-size-of-varcharcopy-3/)
- [17. Which function converts a string to uppercase?Copy](https://codecodence.com/questions/17-which-function-converts-a-string-to-uppercasecopy-3/)
- [22. Which operator is used to check for a range of values?Copy](https://codecodence.com/questions/22-which-operator-is-used-to-check-for-a-range-of-valuescopy-3/)
- [38. What is the purpose of the UNION operator?Copy](https://codecodence.com/questions/38-what-is-the-purpose-of-the-union-operatorcopy-3/)
- [29. Which operator is used for pattern matching?Copy](https://codecodence.com/questions/29-which-operator-is-used-for-pattern-matchingcopy-3/)
- [16. How do you limit the number of rows in a query result?Copy](https://codecodence.com/questions/16-how-do-you-limit-the-number-of-rows-in-a-query-resultcopy-3/)
- [2. Which statement is used to retrieve data from a table?Copy](https://codecodence.com/questions/2-which-statement-is-used-to-retrieve-data-from-a-tablecopy-3/)
- [50. Which function returns the average value of a numeric column?Copy](https://codecodence.com/questions/50-which-function-returns-the-average-value-of-a-numeric-columncopy-3/)

## Assignments

- [Data Science Final TestCopy](https://codecodence.com/assignments/data-science-final-testcopy-2/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [Module 1 Introduction to Power BI (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-power-bi-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Visualization (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-data-visualization-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Power BI Service, Publishing & Sharing (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-power-bi-service-publishing-sharing-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Transformation (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-data-transformation-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Data Modeling & DAX (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-data-modeling-dax-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Tableau Overview (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-tableau-overview-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Sources (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-data-sources-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Worksheets (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-worksheets-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Calculations (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-calculations-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Sorting & Filtering (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-sorting-filtering-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-data-visualization-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Macros and Automation (Assignment questions)Copy](https://codecodence.com/assignments/module-7-macros-and-automation-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 What-If Analysis Tools (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-what-if-analysis-tools-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 New Features and Enhancements in Excel (Assignment Questions)Copy](https://codecodence.com/assignments/module-9-new-features-and-enhancements-in-excel-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to VBA (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-vba-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Automating Data Tasks with Macros (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-automating-data-tasks-with-macros-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Fundamental VBA Programming Concepts (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-fundamental-vba-programming-concepts-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Working with Excel Objects (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-working-with-excel-objects-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Data Cleaning and Transformation (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-data-cleaning-and-transformation-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Advanced Data Manipulation Techniques (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-advanced-data-manipulation-techniques-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 User-Defined Functions (UDFs) for Data Analysis (Assignment Questions)Copy](https://codecodence.com/assignments/module-7-user-defined-functions-udfs-for-data-analysis-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Data Visualization and Reporting (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-data-visualization-and-reporting-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Artificial Neural Networks (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-artificial-neural-networks-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Introduction to Deep Learning (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-introduction-to-deep-learning-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 TensorFlow Basics (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-tensorflow-basics-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Optimizers (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-optimizers-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Activation Functions (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-activation-functions-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Building Artificial Neural Networks (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-building-artificial-neural-networks-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Modern Deep Learning Optimizers and Regularization (Assignment Questions)Copy](https://codecodence.com/assignments/module-7-modern-deep-learning-optimizers-and-regularization-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Convolutional Neural Networks (CNNs) (Assignment Questions)Copy](https://codecodence.com/assignments/module-9-convolutional-neural-networks-cnns-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Word Embedding (Assignment Questions)Copy](https://codecodence.com/assignments/module-10-word-embedding-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Recurrent Neural Networks (RNNs) (Assignment Questions)Copy](https://codecodence.com/assignments/module-11-recurrent-neural-networks-rnns-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Building Deep Neural Networks Using Keras (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-building-deep-neural-networks-using-keras-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Generative Adversarial Networks (GANs) (Assignment Questions)Copy](https://codecodence.com/assignments/module-12-generative-adversarial-networks-gans-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Speech Recognition APIs (Assignment Questions)Copy](https://codecodence.com/assignments/module-13-speech-recognition-apis-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Excel Basics and Customization (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-excel-basics-and-customization-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Advanced Functions and Formulas (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-advanced-functions-and-formulas-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Data Validation Techniques (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-data-validation-techniques-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Organization and Analysis (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-data-organization-and-analysis-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Power Functions for Data Analytics (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-power-functions-for-data-analytics-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization Techniques (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-data-visualization-techniques-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Machine Learning (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-machine-learning-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Supervised Learning (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-supervised-learning-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Unsupervised Learning (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-unsupervised-learning-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Support Vector Machines (SVM) (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-support-vector-machines-svm-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Decision Tree Classification (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-decision-tree-classification-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Ensemble Learning (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-ensemble-learning-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Model Selection Techniques (Assignment Questions)Copy](https://codecodence.com/assignments/module-7-model-selection-techniques-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Recommendation Systems (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-recommendation-systems-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Text Analysis (Assignment Questions)Copy](https://codecodence.com/assignments/module-9-text-analysis-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Dimensionality Reduction (Assignment Questions)Copy](https://codecodence.com/assignments/module-10-dimensionality-reduction-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 OpenCV (Assignment Questions)Copy](https://codecodence.com/assignments/module-11-opencv-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Statistics (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-statistics-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Understanding Population and Samples (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-understanding-population-and-samples-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Measures of Central Tendency and Dispersion (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-measures-of-central-tendency-and-dispersion-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Probability and Probability Distributions (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-probability-and-probability-distributions-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Hypothesis Testing (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-hypothesis-testing-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 NumPy for Numerical Computing(Assignment Questions)Copy](https://codecodence.com/assignments/module-1-numpy-for-numerical-computingassignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Pandas for Data Manipulation (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-pandas-for-data-manipulation-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Data Visualization with Matplotlib (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-data-visualization-with-matplotlib-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Visualization with Seaborn (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-data-visualization-with-seaborn-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Practical Applications and Case Studies (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-practical-applications-and-case-studies-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Python (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-python-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Writing and Executing Your First Python Program (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-writing-and-executing-your-first-python-program-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Python Language Fundamentals(Assignment Questions)Copy](https://codecodence.com/assignments/module-3-python-language-fundamentalsassignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Standard Data Types (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-standard-data-types-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Python Conditional Statements (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-python-conditional-statements-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Looping Statements (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-looping-statements-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 String Handling (Assignment Questions)Copy](https://codecodence.com/assignments/module-7-string-handling-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Python List (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-python-list-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Python Tuple (Assignment Questions)Copy](https://codecodence.com/assignments/module-9-python-tuple-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Python Set & Frozenset (Assignment Questions)Copy](https://codecodence.com/assignments/module-10-python-set-frozenset-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Python Dictionary (Assignment Questions)Copy](https://codecodence.com/assignments/module-11-python-dictionary-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Python Functions (Assignment Questions)Copy](https://codecodence.com/assignments/module-12-python-functions-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Modules & Packages (Assignment Questions)Copy](https://codecodence.com/assignments/module-13-modules-packages-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 14 File IO (Assignment Questions)Copy](https://codecodence.com/assignments/module-14-file-io-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 15 Object Oriented Programming (Assignment Questions)Copy](https://codecodence.com/assignments/module-15-object-oriented-programming-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 16 Exception Handling (Assignment Questions)Copy](https://codecodence.com/assignments/module-16-exception-handling-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 17 Regular Expressions (Regex) (Assignment Questions)Copy](https://codecodence.com/assignments/module-17-regular-expressions-regex-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 SQL Basics (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-sql-basics-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 DML, DDL & DQL (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-dml-ddl-dql-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 SQL Constraints (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-sql-constraints-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Querying Data Assignment QuestionsCopy](https://codecodence.com/assignments/module-4-querying-data-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 SQL Joins (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-sql-joins-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 SQL Functions (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-sql-functions-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Aggregate Functions and Grouping (Assignment Questions)Copy](https://codecodence.com/assignments/module-7-aggregate-functions-and-grouping-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Subqueries and Nested Queries (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-subqueries-and-nested-queries-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Window Functions (Assignment Questions)Copy](https://codecodence.com/assignments/module-9-window-functions-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Indexing and Performance Optimization (Assignment Questions)Copy](https://codecodence.com/assignments/module-10-indexing-and-performance-optimization-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Data Warehousing Concepts (Assignment Questions)Copy](https://codecodence.com/assignments/module-11-data-warehousing-concepts-assignment-questionscopy-6/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Data Science Final TestCopy](https://codecodence.com/assignments/data-science-final-testcopy/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [Module 1 Introduction to Power BI (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-power-bi-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Visualization (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-data-visualization-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Power BI Service, Publishing & Sharing (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-power-bi-service-publishing-sharing-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Transformation (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-data-transformation-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Data Modeling & DAX (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-data-modeling-dax-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Tableau Overview (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-tableau-overview-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Sources (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-data-sources-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Worksheets (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-worksheets-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Calculations (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-calculations-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Sorting & Filtering (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-sorting-filtering-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-data-visualization-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to VBA (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-vba-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Automating Data Tasks with Macros (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-automating-data-tasks-with-macros-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Fundamental VBA Programming Concepts (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-fundamental-vba-programming-concepts-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Working with Excel Objects (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-working-with-excel-objects-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Data Cleaning and Transformation (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-data-cleaning-and-transformation-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Advanced Data Manipulation Techniques (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-advanced-data-manipulation-techniques-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 User-Defined Functions (UDFs) for Data Analysis (Assignment Questions)Copy](https://codecodence.com/assignments/module-7-user-defined-functions-udfs-for-data-analysis-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Data Visualization and Reporting (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-data-visualization-and-reporting-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Artificial Neural Networks (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-artificial-neural-networks-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Introduction to Deep Learning (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-introduction-to-deep-learning-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 TensorFlow Basics (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-tensorflow-basics-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Optimizers (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-optimizers-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Activation Functions (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-activation-functions-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Building Artificial Neural Networks (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-building-artificial-neural-networks-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Modern Deep Learning Optimizers and Regularization (Assignment Questions)Copy](https://codecodence.com/assignments/module-7-modern-deep-learning-optimizers-and-regularization-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Convolutional Neural Networks (CNNs) (Assignment Questions)Copy](https://codecodence.com/assignments/module-9-convolutional-neural-networks-cnns-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Word Embedding (Assignment Questions)Copy](https://codecodence.com/assignments/module-10-word-embedding-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Recurrent Neural Networks (RNNs) (Assignment Questions)Copy](https://codecodence.com/assignments/module-11-recurrent-neural-networks-rnns-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Building Deep Neural Networks Using Keras (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-building-deep-neural-networks-using-keras-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Generative Adversarial Networks (GANs) (Assignment Questions)Copy](https://codecodence.com/assignments/module-12-generative-adversarial-networks-gans-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Speech Recognition APIs (Assignment Questions)Copy](https://codecodence.com/assignments/module-13-speech-recognition-apis-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Excel Basics and Customization (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-excel-basics-and-customization-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Advanced Functions and Formulas (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-advanced-functions-and-formulas-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Data Validation Techniques (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-data-validation-techniques-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Organization and Analysis (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-data-organization-and-analysis-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Power Functions for Data Analytics (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-power-functions-for-data-analytics-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization Techniques (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-data-visualization-techniques-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Macros and Automation (Assignment questions)Copy](https://codecodence.com/assignments/module-7-macros-and-automation-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 What-If Analysis Tools (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-what-if-analysis-tools-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 New Features and Enhancements in Excel (Assignment Questions)Copy](https://codecodence.com/assignments/module-9-new-features-and-enhancements-in-excel-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Machine Learning (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-machine-learning-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Supervised Learning (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-supervised-learning-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Unsupervised Learning (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-unsupervised-learning-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Support Vector Machines (SVM) (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-support-vector-machines-svm-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Decision Tree Classification (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-decision-tree-classification-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Ensemble Learning (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-ensemble-learning-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Model Selection Techniques (Assignment Questions)Copy](https://codecodence.com/assignments/module-7-model-selection-techniques-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Recommendation Systems (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-recommendation-systems-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Text Analysis (Assignment Questions)Copy](https://codecodence.com/assignments/module-9-text-analysis-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Dimensionality Reduction (Assignment Questions)Copy](https://codecodence.com/assignments/module-10-dimensionality-reduction-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 OpenCV (Assignment Questions)Copy](https://codecodence.com/assignments/module-11-opencv-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Statistics (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-statistics-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Understanding Population and Samples (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-understanding-population-and-samples-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Measures of Central Tendency and Dispersion (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-measures-of-central-tendency-and-dispersion-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Probability and Probability Distributions (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-probability-and-probability-distributions-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Hypothesis Testing (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-hypothesis-testing-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 NumPy for Numerical Computing(Assignment Questions)Copy](https://codecodence.com/assignments/module-1-numpy-for-numerical-computingassignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Pandas for Data Manipulation (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-pandas-for-data-manipulation-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Data Visualization with Matplotlib (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-data-visualization-with-matplotlib-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Visualization with Seaborn (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-data-visualization-with-seaborn-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Practical Applications and Case Studies (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-practical-applications-and-case-studies-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Python (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-introduction-to-python-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Writing and Executing Your First Python Program (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-writing-and-executing-your-first-python-program-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Python Language Fundamentals(Assignment Questions)Copy](https://codecodence.com/assignments/module-3-python-language-fundamentalsassignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Standard Data Types (Assignment Questions)Copy](https://codecodence.com/assignments/module-4-standard-data-types-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Python Conditional Statements (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-python-conditional-statements-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Looping Statements (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-looping-statements-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 String Handling (Assignment Questions)Copy](https://codecodence.com/assignments/module-7-string-handling-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Python List (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-python-list-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Python Tuple (Assignment Questions)Copy](https://codecodence.com/assignments/module-9-python-tuple-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Python Set & Frozenset (Assignment Questions)Copy](https://codecodence.com/assignments/module-10-python-set-frozenset-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Python Dictionary (Assignment Questions)Copy](https://codecodence.com/assignments/module-11-python-dictionary-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Python Functions (Assignment Questions)Copy](https://codecodence.com/assignments/module-12-python-functions-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Modules & Packages (Assignment Questions)Copy](https://codecodence.com/assignments/module-13-modules-packages-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 14 File IO (Assignment Questions)Copy](https://codecodence.com/assignments/module-14-file-io-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 15 Object Oriented Programming (Assignment Questions)Copy](https://codecodence.com/assignments/module-15-object-oriented-programming-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 16 Exception Handling (Assignment Questions)Copy](https://codecodence.com/assignments/module-16-exception-handling-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 17 Regular Expressions (Regex) (Assignment Questions)Copy](https://codecodence.com/assignments/module-17-regular-expressions-regex-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 SQL Basics (Assignment Questions)Copy](https://codecodence.com/assignments/module-1-sql-basics-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 DML, DDL & DQL (Assignment Questions)Copy](https://codecodence.com/assignments/module-2-dml-ddl-dql-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 SQL Constraints (Assignment Questions)Copy](https://codecodence.com/assignments/module-3-sql-constraints-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Querying Data Assignment QuestionsCopy](https://codecodence.com/assignments/module-4-querying-data-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 SQL Joins (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-sql-joins-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 SQL Functions (Assignment Questions)Copy](https://codecodence.com/assignments/module-6-sql-functions-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Aggregate Functions and Grouping (Assignment Questions)Copy](https://codecodence.com/assignments/module-7-aggregate-functions-and-grouping-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Subqueries and Nested Queries (Assignment Questions)Copy](https://codecodence.com/assignments/module-8-subqueries-and-nested-queries-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Window Functions (Assignment Questions)Copy](https://codecodence.com/assignments/module-9-window-functions-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Indexing and Performance Optimization (Assignment Questions)Copy](https://codecodence.com/assignments/module-10-indexing-and-performance-optimization-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Data Warehousing Concepts (Assignment Questions)Copy](https://codecodence.com/assignments/module-11-data-warehousing-concepts-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 19 Multi-Threading Programming (Assignment Questions)](https://codecodence.com/assignments/module-19-multi-threading-programming-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 18 GUI Programming (Assignment Questions)](https://codecodence.com/assignments/module-18-gui-programming-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Machine Learning and Deep Learning Final Test](https://codecodence.com/assignments/machine-learning-and-deep-learning-final-test/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [AI Using Python Final Test](https://codecodence.com/assignments/ai-using-python-final-test/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [Business Analytics Final Test](https://codecodence.com/assignments/business-analytics-final-test/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [Excel Final Test](https://codecodence.com/assignments/excel-final-test/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [Power BI Final Test](https://codecodence.com/assignments/power-bi-final-test/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [Tableau Final Test](https://codecodence.com/assignments/tableau-final-test/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [Module 1 Introduction to Artificial Neural Networks (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-artificial-neural-networks-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Introduction to Deep Learning (Assignment Questions)](https://codecodence.com/assignments/module-2-introduction-to-deep-learning-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 TensorFlow Basics (Assignment Questions)](https://codecodence.com/assignments/module-3-tensorflow-basics-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Optimizers (Assignment Questions)](https://codecodence.com/assignments/module-4-optimizers-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Activation Functions (Assignment Questions)](https://codecodence.com/assignments/module-5-activation-functions-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Building Artificial Neural Networks (Assignment Questions)](https://codecodence.com/assignments/module-6-building-artificial-neural-networks-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Modern Deep Learning Optimizers and Regularization (Assignment Questions)](https://codecodence.com/assignments/module-7-modern-deep-learning-optimizers-and-regularization-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Building Deep Neural Networks Using Keras (Assignment Questions)](https://codecodence.com/assignments/module-8-building-deep-neural-networks-using-keras-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Convolutional Neural Networks (CNNs) (Assignment Questions)](https://codecodence.com/assignments/module-9-convolutional-neural-networks-cnns-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Word Embedding (Assignment Questions)](https://codecodence.com/assignments/module-10-word-embedding-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Recurrent Neural Networks (RNNs) (Assignment Questions)](https://codecodence.com/assignments/module-11-recurrent-neural-networks-rnns-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Generative Adversarial Networks (GANs) (Assignment Questions)](https://codecodence.com/assignments/module-12-generative-adversarial-networks-gans-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Speech Recognition APIs (Assignment Questions)](https://codecodence.com/assignments/module-13-speech-recognition-apis-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Machine Learning (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-machine-learning-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Supervised Learning (Assignment Questions)](https://codecodence.com/assignments/module-2-supervised-learning-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Unsupervised Learning (Assignment Questions)](https://codecodence.com/assignments/module-3-unsupervised-learning-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Support Vector Machines (SVM) (Assignment Questions)](https://codecodence.com/assignments/module-4-support-vector-machines-svm-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Decision Tree Classification (Assignment Questions)](https://codecodence.com/assignments/module-5-decision-tree-classification-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Ensemble Learning (Assignment Questions)](https://codecodence.com/assignments/module-6-ensemble-learning-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Model Selection Techniques (Assignment Questions)](https://codecodence.com/assignments/module-7-model-selection-techniques-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Recommendation Systems (Assignment Questions)](https://codecodence.com/assignments/module-8-recommendation-systems-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Text Analysis (Assignment Questions)](https://codecodence.com/assignments/module-9-text-analysis-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Dimensionality Reduction (Assignment Questions)](https://codecodence.com/assignments/module-10-dimensionality-reduction-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 OpenCV (Assignment Questions)](https://codecodence.com/assignments/module-11-opencv-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 SQL Basics (Assignment Questions)](https://codecodence.com/assignments/module-1-sql-basics-assignment-questionscopy-10/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 DML, DDL & DQL (Assignment Questions)](https://codecodence.com/assignments/module-2-dml-ddl-dql-assignment-questionscopy-10/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 SQL Constraints (Assignment Questions)](https://codecodence.com/assignments/module-3-sql-constraints-assignment-questionscopy-10/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Querying Data (Assignment Questions)](https://codecodence.com/assignments/module-4-querying-data-assignment-questionscopy-10/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 SQL Functions (Assignment Questions)](https://codecodence.com/assignments/module-6-sql-functions-assignment-questionscopy-10/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Aggregate Functions and Grouping (Assignment Questions)](https://codecodence.com/assignments/module-7-aggregate-functions-and-grouping-assignment-questionscopy-10/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Subqueries and Nested Queries (Assignment Questions)](https://codecodence.com/assignments/module-8-subqueries-and-nested-queries-assignment-questionscopy-10/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Window Functions (Assignment Questions)](https://codecodence.com/assignments/module-9-window-functions-assignment-questionscopy-10/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Indexing and Performance Optimization (Assignment Questions)](https://codecodence.com/assignments/module-10-indexing-and-performance-optimization-assignment-questionscopy-10/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Writing and Executing Your First Python Program (Assignment Questions)](https://codecodence.com/assignments/module-2-writing-and-executing-your-first-python-program-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Python Language Fundamentals(Assignment Questions)](https://codecodence.com/assignments/module-3-python-language-fundamentalsassignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Python Conditional Statements (Assignment Questions)](https://codecodence.com/assignments/module-5-python-conditional-statements-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 String Handling (Assignment Questions)](https://codecodence.com/assignments/module-7-string-handling-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Python List (Assignment Questions)](https://codecodence.com/assignments/module-8-python-list-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Python Tuple (Assignment Questions)](https://codecodence.com/assignments/module-9-python-tuple-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Python Set & Frozenset (Assignment Questions)](https://codecodence.com/assignments/module-10-python-set-frozenset-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Python Dictionary (Assignment Questions)](https://codecodence.com/assignments/module-11-python-dictionary-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Python Functions (Assignment Questions)](https://codecodence.com/assignments/module-12-python-functions-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Modules & Packages (Assignment Questions)](https://codecodence.com/assignments/module-13-modules-packages-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 14 File IO (Assignment Questions)](https://codecodence.com/assignments/module-14-file-io-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 15 Object Oriented Programming (Assignment Questions)](https://codecodence.com/assignments/module-15-object-oriented-programming-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 16 Exception Handling (Assignment Questions)](https://codecodence.com/assignments/module-16-exception-handling-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 17 Regular Expressions (Regex) (Assignment Questions)](https://codecodence.com/assignments/module-17-regular-expressions-regex-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Excel Basics and Customization (Assignment Questions)](https://codecodence.com/assignments/module-1-excel-basics-and-customization-assignment-questionscopy-9/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Advanced Functions and Formulas (Assignment Questions)](https://codecodence.com/assignments/module-2-advanced-functions-and-formulas-assignment-questionscopy-9/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Data Validation Techniques (Assignment Questions)](https://codecodence.com/assignments/module-3-data-validation-techniques-assignment-questionscopy-9/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Organization and Analysis (Assignment Questions)](https://codecodence.com/assignments/module-4-data-organization-and-analysis-assignment-questionscopy-9/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Power Functions for Data Analytics (Assignment Questions)](https://codecodence.com/assignments/module-5-power-functions-for-data-analytics-assignment-questionscopy-9/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization Techniques (Assignment Questions)](https://codecodence.com/assignments/module-6-data-visualization-techniques-assignment-questionscopycopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Macros and Automation (Assignment questions)](https://codecodence.com/assignments/module-7-macros-and-automation-assignment-questionscopy-9/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 What-If Analysis Tools (Assignment Questions)](https://codecodence.com/assignments/module-8-what-if-analysis-tools-assignment-questionscopy-9/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 New Features and Enhancements in Excel (Assignment Questions)](https://codecodence.com/assignments/module-9-new-features-and-enhancements-in-excel-assignment-questionscopy-9/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Tableau Overview (Assignment Questions)](https://codecodence.com/assignments/module-1-tableau-overview-assignment-questionscopy-8/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Sources (Assignment Questions)](https://codecodence.com/assignments/module-2-data-sources-assignment-questionscopy-8/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Worksheets (Assignment Questions)](https://codecodence.com/assignments/module-3-worksheets-assignment-questionscopy-8/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Calculations (Assignment Questions)](https://codecodence.com/assignments/module-4-calculations-assignment-questionscopy-8/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Sorting & Filtering (Assignment Questions)](https://codecodence.com/assignments/module-5-sorting-filtering-assignment-questionscopy-8/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization (Assignment Questions)](https://codecodence.com/assignments/module-6-data-visualization-assignment-questionscopy-8/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Power BI (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-power-bi-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Visualization (Assignment Questions)](https://codecodence.com/assignments/module-2-data-visualization-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Power BI Service, Publishing & Sharing (Assignment Questions)](https://codecodence.com/assignments/module-3-power-bi-service-publishing-sharing-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Transformation (Assignment Questions)](https://codecodence.com/assignments/module-4-data-transformation-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Data Modeling & DAX (Assignment Questions)](https://codecodence.com/assignments/module-5-data-modeling-dax-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 SQL Joins (Assignment Questions)Copy](https://codecodence.com/assignments/module-5-sql-joins-assignment-questionscopy-7/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Power BI (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-power-bi-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Visualization (Assignment Questions)](https://codecodence.com/assignments/module-2-data-visualization-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Power BI Service, Publishing & Sharing (Assignment Questions)](https://codecodence.com/assignments/module-3-power-bi-service-publishing-sharing-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Transformation (Assignment Questions)](https://codecodence.com/assignments/module-4-data-transformation-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Data Modeling & DAX (Assignment Questions)](https://codecodence.com/assignments/module-5-data-modeling-dax-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Tableau Overview (Assignment Questions)](https://codecodence.com/assignments/module-1-tableau-overview-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Sources (Assignment Questions)](https://codecodence.com/assignments/module-2-data-sources-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Worksheets (Assignment Questions)](https://codecodence.com/assignments/module-3-worksheets-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Calculations (Assignment Questions)](https://codecodence.com/assignments/module-4-calculations-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Sorting & Filtering (Assignment Questions)](https://codecodence.com/assignments/module-5-sorting-filtering-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization (Assignment Questions)](https://codecodence.com/assignments/module-6-data-visualization-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Excel Basics and Customization (Assignment Questions)](https://codecodence.com/assignments/module-1-excel-basics-and-customization-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Advanced Functions and Formulas (Assignment Questions)](https://codecodence.com/assignments/module-2-advanced-functions-and-formulas-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Data Validation Techniques (Assignment Questions)](https://codecodence.com/assignments/module-3-data-validation-techniques-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Organization and Analysis (Assignment Questions)](https://codecodence.com/assignments/module-4-data-organization-and-analysis-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Power Functions for Data Analytics (Assignment Questions)](https://codecodence.com/assignments/module-5-power-functions-for-data-analytics-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization Techniques (Assignment Questions)](https://codecodence.com/assignments/module-6-data-visualization-techniques-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Macros and Automation (Assignment questions)](https://codecodence.com/assignments/module-7-macros-and-automation-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 What-If Analysis Tools (Assignment Questions)](https://codecodence.com/assignments/module-8-what-if-analysis-tools-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 New Features and Enhancements in Excel (Assignment Questions)](https://codecodence.com/assignments/module-9-new-features-and-enhancements-in-excel-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 SQL Basics (Assignment Questions)](https://codecodence.com/assignments/module-1-sql-basics-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 DML, DDL & DQL (Assignment Questions)](https://codecodence.com/assignments/module-2-dml-ddl-dql-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 SQL Constraints (Assignment Questions)](https://codecodence.com/assignments/module-3-sql-constraints-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Querying Data Assignment Questions](https://codecodence.com/assignments/module-4-querying-data-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 SQL Joins (Assignment Questions)](https://codecodence.com/assignments/module-5-sql-joins-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 SQL Functions (Assignment Questions)](https://codecodence.com/assignments/module-6-sql-functions-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Aggregate Functions and Grouping (Assignment Questions)](https://codecodence.com/assignments/module-7-aggregate-functions-and-grouping-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Subqueries and Nested Queries (Assignment Questions)](https://codecodence.com/assignments/module-8-subqueries-and-nested-queries-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Window Functions (Assignment Questions)](https://codecodence.com/assignments/module-9-window-functions-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Indexing and Performance Optimization (Assignment Questions)](https://codecodence.com/assignments/module-10-indexing-and-performance-optimization-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Data Warehousing Concepts (Assignment Questions)](https://codecodence.com/assignments/module-11-data-warehousing-concepts-assignment-questionscopy-5/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Artificial Neural Networks (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-artificial-neural-networks-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Introduction to Deep Learning (Assignment Questions)](https://codecodence.com/assignments/module-2-introduction-to-deep-learning-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 TensorFlow Basics (Assignment Questions)](https://codecodence.com/assignments/module-3-tensorflow-basics-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Optimizers (Assignment Questions)](https://codecodence.com/assignments/module-4-optimizers-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Activation Functions (Assignment Questions)](https://codecodence.com/assignments/module-5-activation-functions-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Building Artificial Neural Networks (Assignment Questions)](https://codecodence.com/assignments/module-6-building-artificial-neural-networks-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Modern Deep Learning Optimizers and Regularization (Assignment Questions)](https://codecodence.com/assignments/module-7-modern-deep-learning-optimizers-and-regularization-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Building Deep Neural Networks Using Keras (Assignment Questions)](https://codecodence.com/assignments/module-8-building-deep-neural-networks-using-keras-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Convolutional Neural Networks (CNNs) (Assignment Questions)](https://codecodence.com/assignments/module-9-convolutional-neural-networks-cnns-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Word Embedding (Assignment Questions)](https://codecodence.com/assignments/module-10-word-embedding-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Recurrent Neural Networks (RNNs) (Assignment Questions)](https://codecodence.com/assignments/module-11-recurrent-neural-networks-rnns-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Generative Adversarial Networks (GANs) (Assignment Questions)](https://codecodence.com/assignments/module-12-generative-adversarial-networks-gans-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Speech Recognition APIs (Assignment Questions)](https://codecodence.com/assignments/module-13-speech-recognition-apis-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Machine Learning (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-machine-learning-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Supervised Learning (Assignment Questions)](https://codecodence.com/assignments/module-2-supervised-learning-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Unsupervised Learning (Assignment Questions)](https://codecodence.com/assignments/module-3-unsupervised-learning-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Support Vector Machines (SVM) (Assignment Questions)](https://codecodence.com/assignments/module-4-support-vector-machines-svm-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Decision Tree Classification (Assignment Questions)](https://codecodence.com/assignments/module-5-decision-tree-classification-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Ensemble Learning (Assignment Questions)](https://codecodence.com/assignments/module-6-ensemble-learning-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Model Selection Techniques (Assignment Questions)](https://codecodence.com/assignments/module-7-model-selection-techniques-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Recommendation Systems (Assignment Questions)](https://codecodence.com/assignments/module-8-recommendation-systems-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Text Analysis (Assignment Questions)](https://codecodence.com/assignments/module-9-text-analysis-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Dimensionality Reduction (Assignment Questions)](https://codecodence.com/assignments/module-10-dimensionality-reduction-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 OpenCV (Assignment Questions)](https://codecodence.com/assignments/module-11-opencv-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 NumPy for Numerical Computing(Assignment Questions)](https://codecodence.com/assignments/module-1-numpy-for-numerical-computingassignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Pandas for Data Manipulation (Assignment Questions)](https://codecodence.com/assignments/module-2-pandas-for-data-manipulation-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Data Visualization with Matplotlib (Assignment Questions)](https://codecodence.com/assignments/module-3-data-visualization-with-matplotlib-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Visualization with Seaborn (Assignment Questions)](https://codecodence.com/assignments/module-4-data-visualization-with-seaborn-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Practical Applications and Case Studies (Assignment Questions)](https://codecodence.com/assignments/module-5-practical-applications-and-case-studies-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Statistics (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-statistics-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Understanding Population and Samples (Assignment Questions)](https://codecodence.com/assignments/module-2-understanding-population-and-samples-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Measures of Central Tendency and Dispersion (Assignment Questions)](https://codecodence.com/assignments/module-3-measures-of-central-tendency-and-dispersion-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Probability and Probability Distributions (Assignment Questions)](https://codecodence.com/assignments/module-4-probability-and-probability-distributions-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Hypothesis Testing (Assignment Questions)](https://codecodence.com/assignments/module-5-hypothesis-testing-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 SQL Basics (Assignment Questions)](https://codecodence.com/assignments/module-1-sql-basics-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 DML, DDL & DQL (Assignment Questions)](https://codecodence.com/assignments/module-2-dml-ddl-dql-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 SQL Constraints (Assignment Questions)](https://codecodence.com/assignments/module-3-sql-constraints-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Querying Data (Assignment Questions)](https://codecodence.com/assignments/module-4-querying-data-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 SQL Joins (Assignment Questions)](https://codecodence.com/assignments/module-5-sql-joins-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 SQL Functions (Assignment Questions)](https://codecodence.com/assignments/module-6-sql-functions-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Aggregate Functions and Grouping (Assignment Questions)](https://codecodence.com/assignments/module-7-aggregate-functions-and-grouping-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Subqueries and Nested Queries (Assignment Questions)](https://codecodence.com/assignments/module-8-subqueries-and-nested-queries-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Window Functions (Assignment Questions)](https://codecodence.com/assignments/module-9-window-functions-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Indexing and Performance Optimization (Assignment Questions)](https://codecodence.com/assignments/module-10-indexing-and-performance-optimization-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Data Warehousing Concepts (Assignment Questions)](https://codecodence.com/assignments/module-11-data-warehousing-concepts-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Python (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-python-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Writing and Executing Your First Python Program (Assignment Questions)](https://codecodence.com/assignments/module-2-writing-and-executing-your-first-python-program-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Python Language Fundamentals(Assignment Questions)](https://codecodence.com/assignments/module-3-python-language-fundamentalsassignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Standard Data Types (Assignment Questions)](https://codecodence.com/assignments/module-4-standard-data-types-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Python Conditional Statements (Assignment Questions)](https://codecodence.com/assignments/module-5-python-conditional-statements-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Looping Statements (Assignment Questions)](https://codecodence.com/assignments/module-6-looping-statements-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 String Handling (Assignment Questions)](https://codecodence.com/assignments/module-7-string-handling-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Python List (Assignment Questions)](https://codecodence.com/assignments/module-8-python-list-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Python Tuple (Assignment Questions)](https://codecodence.com/assignments/module-9-python-tuple-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Python Set & Frozenset (Assignment Questions)](https://codecodence.com/assignments/module-10-python-set-frozenset-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Python Dictionary (Assignment Questions)](https://codecodence.com/assignments/module-11-python-dictionary-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Python Functions (Assignment Questions)](https://codecodence.com/assignments/module-12-python-functions-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Modules & Packages (Assignment Questions)](https://codecodence.com/assignments/module-13-modules-packages-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 14 File IO (Assignment Questions)](https://codecodence.com/assignments/module-14-file-io-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 15 Object Oriented Programming (Assignment Questions)](https://codecodence.com/assignments/module-15-object-oriented-programming-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 16 Exception Handling (Assignment Questions)](https://codecodence.com/assignments/module-16-exception-handling-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 17 Regular Expressions (Regex) (Assignment Questions)](https://codecodence.com/assignments/module-17-regular-expressions-regex-assignment-questionscopy-4/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [MySQL Final Test](https://codecodence.com/assignments/mysql-final-test/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [Module 1 Introduction to Python (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-python-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Standard Data Types (Assignment Questions)](https://codecodence.com/assignments/module-4-standard-data-types-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Looping Statements (Assignment Questions)](https://codecodence.com/assignments/module-6-looping-statements-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 SQL Basics (Assignment Questions)](https://codecodence.com/assignments/module-1-sql-basics-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 DML, DDL & DQL (Assignment Questions)](https://codecodence.com/assignments/module-2-dml-ddl-dql-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 SQL Constraints (Assignment Questions)](https://codecodence.com/assignments/module-3-sql-constraints-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Querying Data Assignment Questions](https://codecodence.com/assignments/module-4-querying-data-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 SQL Joins (Assignment Questions)](https://codecodence.com/assignments/module-5-sql-joins-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 SQL Functions (Assignment Questions)](https://codecodence.com/assignments/module-6-sql-functions-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Aggregate Functions and Grouping (Assignment Questions)](https://codecodence.com/assignments/module-7-aggregate-functions-and-grouping-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Subqueries and Nested Queries (Assignment Questions)](https://codecodence.com/assignments/module-8-subqueries-and-nested-queries-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Window Functions (Assignment Questions)](https://codecodence.com/assignments/module-9-window-functions-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Indexing and Performance Optimization (Assignment Questions)](https://codecodence.com/assignments/module-10-indexing-and-performance-optimization-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Data Warehousing Concepts (Assignment Questions)](https://codecodence.com/assignments/module-11-data-warehousing-concepts-assignment-questionscopy-3/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Python Programming Course Final Test](https://codecodence.com/assignments/python-programming-course-final-test/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [Module 1 Introduction to Python (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-python-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Writing and Executing Your First Python Program (Assignment Questions)](https://codecodence.com/assignments/module-2-writing-and-executing-your-first-python-program-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Python Language Fundamentals(Assignment Questions)](https://codecodence.com/assignments/module-3-python-language-fundamentalsassignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Standard Data Types (Assignment Questions)](https://codecodence.com/assignments/module-4-standard-data-types-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Python Conditional Statements (Assignment Questions)](https://codecodence.com/assignments/module-5-python-conditional-statements-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Looping Statements (Assignment Questions)](https://codecodence.com/assignments/module-6-looping-statements-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 String Handling (Assignment Questions)](https://codecodence.com/assignments/module-7-string-handling-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Python List (Assignment Questions)](https://codecodence.com/assignments/module-8-python-list-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Python Tuple (Assignment Questions)](https://codecodence.com/assignments/module-9-python-tuple-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Python Set & Frozenset (Assignment Questions)](https://codecodence.com/assignments/module-10-python-set-frozenset-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Python Dictionary (Assignment Questions)](https://codecodence.com/assignments/module-11-python-dictionary-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Python Functions (Assignment Questions)](https://codecodence.com/assignments/module-12-python-functions-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Modules & Packages (Assignment Questions)](https://codecodence.com/assignments/module-13-modules-packages-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 14 File IO (Assignment Questions)](https://codecodence.com/assignments/module-14-file-io-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 15 Object Oriented Programming (Assignment Questions)](https://codecodence.com/assignments/module-15-object-oriented-programming-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 16 Exception Handling (Assignment Questions)](https://codecodence.com/assignments/module-16-exception-handling-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 17 Regular Expressions (Regex) (Assignment Questions)](https://codecodence.com/assignments/module-17-regular-expressions-regex-assignment-questionscopy-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Data Analytics Final Test](https://codecodence.com/assignments/data-analytics-final-test/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [Module 1 Introduction to Power BI (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-power-bi-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Visualization (Assignment Questions)](https://codecodence.com/assignments/module-2-data-visualization-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Power BI Service, Publishing & Sharing (Assignment Questions)](https://codecodence.com/assignments/module-3-power-bi-service-publishing-sharing-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Transformation (Assignment Questions)](https://codecodence.com/assignments/module-4-data-transformation-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Data Modeling & DAX (Assignment Questions)](https://codecodence.com/assignments/module-5-data-modeling-dax-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Tableau Overview (Assignment Questions)](https://codecodence.com/assignments/module-1-tableau-overview-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Sources (Assignment Questions)](https://codecodence.com/assignments/module-2-data-sources-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Worksheets (Assignment Questions)](https://codecodence.com/assignments/module-3-worksheets-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Calculations (Assignment Questions)](https://codecodence.com/assignments/module-4-calculations-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Sorting & Filtering (Assignment Questions)](https://codecodence.com/assignments/module-5-sorting-filtering-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization (Assignment Questions)](https://codecodence.com/assignments/module-6-data-visualization-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Excel Basics and Customization (Assignment Questions)](https://codecodence.com/assignments/module-1-excel-basics-and-customization-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Advanced Functions and Formulas (Assignment Questions)](https://codecodence.com/assignments/module-2-advanced-functions-and-formulas-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Data Validation Techniques (Assignment Questions)](https://codecodence.com/assignments/module-3-data-validation-techniques-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Organization and Analysis (Assignment Questions)](https://codecodence.com/assignments/module-4-data-organization-and-analysis-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Power Functions for Data Analytics (Assignment Questions)](https://codecodence.com/assignments/module-5-power-functions-for-data-analytics-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization Techniques (Assignment Questions)](https://codecodence.com/assignments/module-6-data-visualization-techniques-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Macros and Automation (Assignment questions)](https://codecodence.com/assignments/module-7-macros-and-automation-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 What-If Analysis Tools (Assignment Questions)](https://codecodence.com/assignments/module-8-what-if-analysis-tools-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 New Features and Enhancements in Excel (Assignment Questions)](https://codecodence.com/assignments/module-9-new-features-and-enhancements-in-excel-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to VBA (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-vba-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Automating Data Tasks with Macros (Assignment Questions)](https://codecodence.com/assignments/module-2-automating-data-tasks-with-macros-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Fundamental VBA Programming Concepts (Assignment Questions)](https://codecodence.com/assignments/module-3-fundamental-vba-programming-concepts-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Working with Excel Objects (Assignment Questions)](https://codecodence.com/assignments/module-4-working-with-excel-objects-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Data Cleaning and Transformation (Assignment Questions)](https://codecodence.com/assignments/module-5-data-cleaning-and-transformation-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Advanced Data Manipulation Techniques (Assignment Questions)](https://codecodence.com/assignments/module-6-advanced-data-manipulation-techniques-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 User-Defined Functions (UDFs) for Data Analysis (Assignment Questions)](https://codecodence.com/assignments/module-7-user-defined-functions-udfs-for-data-analysis-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Data Visualization and Reporting (Assignment Questions)](https://codecodence.com/assignments/module-8-data-visualization-and-reporting-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 NumPy for Numerical Computing(Assignment Questions)](https://codecodence.com/assignments/module-1-numpy-for-numerical-computingassignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Pandas for Data Manipulation (Assignment Questions)](https://codecodence.com/assignments/module-2-pandas-for-data-manipulation-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Data Visualization with Matplotlib (Assignment Questions)](https://codecodence.com/assignments/module-3-data-visualization-with-matplotlib-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Visualization with Seaborn (Assignment Questions)](https://codecodence.com/assignments/module-4-data-visualization-with-seaborn-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Practical Applications and Case Studies (Assignment Questions)](https://codecodence.com/assignments/module-5-practical-applications-and-case-studies-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Statistics (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-statistics-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Understanding Population and Samples (Assignment Questions)](https://codecodence.com/assignments/module-2-understanding-population-and-samples-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Measures of Central Tendency and Dispersion (Assignment Questions)](https://codecodence.com/assignments/module-3-measures-of-central-tendency-and-dispersion-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Probability and Probability Distributions (Assignment Questions)](https://codecodence.com/assignments/module-4-probability-and-probability-distributions-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Hypothesis Testing (Assignment Questions)](https://codecodence.com/assignments/module-5-hypothesis-testing-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 SQL Basics (Assignment Questions)](https://codecodence.com/assignments/module-1-sql-basics-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 DML, DDL & DQL (Assignment Questions)](https://codecodence.com/assignments/module-2-dml-ddl-dql-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 SQL Constraints (Assignment Questions)](https://codecodence.com/assignments/module-3-sql-constraints-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Querying Data Assignment Questions](https://codecodence.com/assignments/module-4-querying-data-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 SQL Joins (Assignment Questions)](https://codecodence.com/assignments/module-5-sql-joins-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 SQL Functions (Assignment Questions)](https://codecodence.com/assignments/module-6-sql-functions-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Aggregate Functions and Grouping (Assignment Questions)](https://codecodence.com/assignments/module-7-aggregate-functions-and-grouping-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Subqueries and Nested Queries (Assignment Questions)](https://codecodence.com/assignments/module-8-subqueries-and-nested-queries-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Window Functions (Assignment Questions)](https://codecodence.com/assignments/module-9-window-functions-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Indexing and Performance Optimization (Assignment Questions)](https://codecodence.com/assignments/module-10-indexing-and-performance-optimization-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Data Warehousing Concepts (Assignment Questions)](https://codecodence.com/assignments/module-11-data-warehousing-concepts-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Python (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-python-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Writing and Executing Your First Python Program (Assignment Questions)](https://codecodence.com/assignments/module-2-writing-and-executing-your-first-python-program-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Python Language Fundamentals(Assignment Questions)](https://codecodence.com/assignments/module-3-python-language-fundamentalsassignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Standard Data Types (Assignment Questions)](https://codecodence.com/assignments/module-4-standard-data-types-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Python Conditional Statements (Assignment Questions)](https://codecodence.com/assignments/module-5-python-conditional-statements-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Looping Statements (Assignment Questions)](https://codecodence.com/assignments/module-6-looping-statements-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 String Handling (Assignment Questions)](https://codecodence.com/assignments/module-7-string-handling-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Python List (Assignment Questions)](https://codecodence.com/assignments/module-8-python-list-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Python Tuple (Assignment Questions)](https://codecodence.com/assignments/module-9-python-tuple-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Python Set & Frozenset (Assignment Questions)](https://codecodence.com/assignments/module-10-python-set-frozenset-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Python Dictionary (Assignment Questions)](https://codecodence.com/assignments/module-11-python-dictionary-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Python Functions (Assignment Questions)](https://codecodence.com/assignments/module-12-python-functions-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Modules & Packages (Assignment Questions)](https://codecodence.com/assignments/module-13-modules-packages-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 14 File IO (Assignment Questions)](https://codecodence.com/assignments/module-14-file-io-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 15 Object Oriented Programming (Assignment Questions)](https://codecodence.com/assignments/module-15-object-oriented-programming-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 16 Exception Handling (Assignment Questions)](https://codecodence.com/assignments/module-16-exception-handling-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 17 Regular Expressions (Regex) (Assignment Questions)](https://codecodence.com/assignments/module-17-regular-expressions-regex-assignment-questionscopy/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Data Science Final Test](https://codecodence.com/assignments/data-science-final-test/) - Instructions: Answer all questions. The total marks for the test are 100. Each multiple-choice question carries 2 marks. Choose any 6 out of 8 short answer questions (5 marks each). Choose any 3 out of 5 problem-solving questions (10 marks each).
- [Module 5 Data Modeling & DAX (Assignment Questions)](https://codecodence.com/assignments/module-5-data-modeling-dax-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Transformation (Assignment Questions)](https://codecodence.com/assignments/module-4-data-transformation-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Power BI Service, Publishing & Sharing (Assignment Questions)](https://codecodence.com/assignments/module-3-power-bi-service-publishing-sharing-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Visualization (Assignment Questions)](https://codecodence.com/assignments/module-2-data-visualization-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Power BI (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-power-bi-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization (Assignment Questions)](https://codecodence.com/assignments/module-6-data-visualization-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Sorting & Filtering (Assignment Questions)](https://codecodence.com/assignments/module-5-sorting-filtering-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Calculations (Assignment Questions)](https://codecodence.com/assignments/module-4-calculations-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Worksheets (Assignment Questions)](https://codecodence.com/assignments/module-3-worksheets-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Data Sources (Assignment Questions)](https://codecodence.com/assignments/module-2-data-sources-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Tableau Overview (Assignment Questions)](https://codecodence.com/assignments/module-1-tableau-overview-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Data Visualization and Reporting (Assignment Questions)](https://codecodence.com/assignments/module-8-data-visualization-and-reporting-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 User-Defined Functions (UDFs) for Data Analysis (Assignment Questions)](https://codecodence.com/assignments/module-7-user-defined-functions-udfs-for-data-analysis-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Advanced Data Manipulation Techniques (Assignment Questions)](https://codecodence.com/assignments/module-6-advanced-data-manipulation-techniques-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Data Cleaning and Transformation (Assignment Questions)](https://codecodence.com/assignments/module-5-data-cleaning-and-transformation-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Working with Excel Objects (Assignment Questions)](https://codecodence.com/assignments/module-4-working-with-excel-objects-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Fundamental VBA Programming Concepts (Assignment Questions)](https://codecodence.com/assignments/module-3-fundamental-vba-programming-concepts-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Automating Data Tasks with Macros (Assignment Questions)](https://codecodence.com/assignments/module-2-automating-data-tasks-with-macros-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to VBA (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-vba-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 New Features and Enhancements in Excel (Assignment Questions)](https://codecodence.com/assignments/module-9-new-features-and-enhancements-in-excel-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 What-If Analysis Tools (Assignment Questions)](https://codecodence.com/assignments/module-8-what-if-analysis-tools-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Macros and Automation (Assignment questions)](https://codecodence.com/assignments/module-7-macros-and-automation-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Data Visualization Techniques (Assignment Questions)](https://codecodence.com/assignments/module-6-data-visualization-techniques-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Power Functions for Data Analytics (Assignment Questions)](https://codecodence.com/assignments/module-5-power-functions-for-data-analytics-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Organization and Analysis (Assignment Questions)](https://codecodence.com/assignments/module-4-data-organization-and-analysis-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Data Validation Techniques (Assignment Questions)](https://codecodence.com/assignments/module-3-data-validation-techniques-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Advanced Functions and Formulas (Assignment Questions)](https://codecodence.com/assignments/module-2-advanced-functions-and-formulas-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Excel Basics and Customization (Assignment Questions)](https://codecodence.com/assignments/module-1-excel-basics-and-customization-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Speech Recognition APIs (Assignment Questions)](https://codecodence.com/assignments/module-13-speech-recognition-apis-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Generative Adversarial Networks (GANs) (Assignment Questions)](https://codecodence.com/assignments/module-12-generative-adversarial-networks-gans-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Building Deep Neural Networks Using Keras (Assignment Questions)](https://codecodence.com/assignments/module-8-building-deep-neural-networks-using-keras-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Recurrent Neural Networks (RNNs) (Assignment Questions)](https://codecodence.com/assignments/module-11-recurrent-neural-networks-rnns-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Word Embedding (Assignment Questions)](https://codecodence.com/assignments/module-10-word-embedding-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Convolutional Neural Networks (CNNs) (Assignment Questions)](https://codecodence.com/assignments/module-9-convolutional-neural-networks-cnns-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Modern Deep Learning Optimizers and Regularization (Assignment Questions)](https://codecodence.com/assignments/module-7-modern-deep-learning-optimizers-and-regularization-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Building Artificial Neural Networks (Assignment Questions)](https://codecodence.com/assignments/module-6-building-artificial-neural-networks-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Activation Functions (Assignment Questions)](https://codecodence.com/assignments/module-5-activation-functions-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Optimizers (Assignment Questions)](https://codecodence.com/assignments/module-4-optimizers-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 TensorFlow Basics (Assignment Questions)](https://codecodence.com/assignments/module-3-tensorflow-basics-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Introduction to Deep Learning (Assignment Questions)](https://codecodence.com/assignments/module-2-introduction-to-deep-learning-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Artificial Neural Networks (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-artificial-neural-networks-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 OpenCV (Assignment Questions)](https://codecodence.com/assignments/module-11-opencv-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Dimensionality Reduction (Assignment Questions)](https://codecodence.com/assignments/module-10-dimensionality-reduction-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Text Analysis (Assignment Questions)](https://codecodence.com/assignments/module-9-text-analysis-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Recommendation Systems (Assignment Questions)](https://codecodence.com/assignments/module-8-recommendation-systems-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Model Selection Techniques (Assignment Questions)](https://codecodence.com/assignments/module-7-model-selection-techniques-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Ensemble Learning (Assignment Questions)](https://codecodence.com/assignments/module-6-ensemble-learning-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Decision Tree Classification (Assignment Questions)](https://codecodence.com/assignments/module-5-decision-tree-classification-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Support Vector Machines (SVM) (Assignment Questions)](https://codecodence.com/assignments/module-4-support-vector-machines-svm-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Unsupervised Learning (Assignment Questions)](https://codecodence.com/assignments/module-3-unsupervised-learning-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Supervised Learning (Assignment Questions)](https://codecodence.com/assignments/module-2-supervised-learning-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Machine Learning (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-machine-learning-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Hypothesis Testing (Assignment Questions)](https://codecodence.com/assignments/module-5-hypothesis-testing-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Probability and Probability Distributions (Assignment Questions)](https://codecodence.com/assignments/module-4-probability-and-probability-distributions-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Measures of Central Tendency and Dispersion (Assignment Questions)](https://codecodence.com/assignments/module-3-measures-of-central-tendency-and-dispersion-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Understanding Population and Samples (Assignment Questions)](https://codecodence.com/assignments/module-2-understanding-population-and-samples-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Statistics (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-statistics-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Practical Applications and Case Studies (Assignment Questions)](https://codecodence.com/assignments/module-5-practical-applications-and-case-studies-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Data Visualization with Seaborn (Assignment Questions)](https://codecodence.com/assignments/module-4-data-visualization-with-seaborn-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Data Visualization with Matplotlib (Assignment Questions)](https://codecodence.com/assignments/module-3-data-visualization-with-matplotlib-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Pandas for Data Manipulation (Assignment Questions)](https://codecodence.com/assignments/module-2-pandas-for-data-manipulation-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 NumPy for Numerical Computing(Assignment Questions)](https://codecodence.com/assignments/module-1-numpy-for-numerical-computingassignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Data Warehousing Concepts (Assignment Questions)](https://codecodence.com/assignments/module-11-data-warehousing-concepts-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Indexing and Performance Optimization (Assignment Questions)](https://codecodence.com/assignments/module-10-indexing-and-performance-optimization-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Window Functions (Assignment Questions)](https://codecodence.com/assignments/module-9-window-functions-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Subqueries and Nested Queries (Assignment Questions)](https://codecodence.com/assignments/module-8-subqueries-and-nested-queries-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 Aggregate Functions and Grouping (Assignment Questions)](https://codecodence.com/assignments/module-7-aggregate-functions-and-grouping-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 SQL Functions (Assignment Questions)](https://codecodence.com/assignments/module-6-sql-functions-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 SQL Joins (Assignment Questions)](https://codecodence.com/assignments/module-5-sql-joins-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Querying Data Assignment Questions](https://codecodence.com/assignments/module-4-querying-data-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 SQL Constraints (Assignment Questions)](https://codecodence.com/assignments/module-3-sql-constraints-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 DML, DDL & DQL (Assignment Questions)](https://codecodence.com/assignments/module-2-dml-ddl-dql-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 SQL Basics (Assignment Questions)](https://codecodence.com/assignments/module-1-sql-basics-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 17 Regular Expressions (Regex) (Assignment Questions)](https://codecodence.com/assignments/module-17-regular-expressions-regex-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 16 Exception Handling (Assignment Questions)](https://codecodence.com/assignments/module-16-exception-handling-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 15 Object Oriented Programming (Assignment Questions)](https://codecodence.com/assignments/module-15-object-oriented-programming-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 14 File IO (Assignment Questions)](https://codecodence.com/assignments/module-14-file-io-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 13 Modules & Packages (Assignment Questions)](https://codecodence.com/assignments/module-13-modules-packages-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 12 Python Functions (Assignment Questions)](https://codecodence.com/assignments/module-12-python-functions-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 11 Python Dictionary (Assignment Questions)](https://codecodence.com/assignments/module-11-python-dictionary-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 10 Python Set & Frozenset (Assignment Questions)](https://codecodence.com/assignments/module-10-python-set-frozenset-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 9 Python Tuple (Assignment Questions)](https://codecodence.com/assignments/module-9-python-tuple-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 8 Python List (Assignment Questions)](https://codecodence.com/assignments/module-8-python-list-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 7 String Handling (Assignment Questions)](https://codecodence.com/assignments/module-7-string-handling-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 6 Looping Statements (Assignment Questions)](https://codecodence.com/assignments/module-6-looping-statements-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 5 Python Conditional Statements (Assignment Questions)](https://codecodence.com/assignments/module-5-python-conditional-statements-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 4 Standard Data Types (Assignment Questions)](https://codecodence.com/assignments/module-4-standard-data-types-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 3 Python Language Fundamentals(Assignment Questions)](https://codecodence.com/assignments/module-3-python-language-fundamentalsassignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 2 Writing and Executing Your First Python Program (Assignment Questions)](https://codecodence.com/assignments/module-2-writing-and-executing-your-first-python-program-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.
- [Module 1 Introduction to Python (Assignment Questions)](https://codecodence.com/assignments/module-1-introduction-to-python-assignment-questions-2/) - Submission Guidelines: Ensure all answers are well-structured and supported with examples. Use proper formatting and indentation for any code snippets. Mention any external sources or references used in your answers.

## Products

- [A Beginner Crash Course Guide](https://codecodence.com/product/keychains/) - Lorem ipsum dolor sit amet, consectetur adipiscing elit. Maecenas pretium pretium iaculis. Nullam vestibulum vestibulum libero. Phasellus ut pulvinar mi. Donec id pretium ante.
- [A Magic School for Girls Chapter](https://codecodence.com/product/wood-postcard/) - Nam molestie, enim a blandit tempus, massa ante pretium lacus, bibendum eleifend augue tellus vitae nisl. Nullam sed sapien ante.
- [A Memoir of a Life Interrupted](https://codecodence.com/product/luggage-tag/) - Donec faucibus pharetra enim et imperdiet. Nunc tincidunt ut sem sed aliquam. Nullam ut leo molestie, vehicula justo sed, eleifend augue. Vestibulum ut scelerisque magna. Aenean in odio congue, posuere urna in, dictum diam.
- [Amazon FBA 2022](https://codecodence.com/product/bracelet/) - Donec venenatis consequat dolor, ac pharetra sapien feugiat eu. Ut fermentum congue rhoncus. Nullam nunc tortor, luctus in diam ut, tincidunt vulputate quam. Integer eget neque in arcu pulvinar commodo at nec sapien.
- [How to Start Your E-Commerce](https://codecodence.com/product/karton/) - Nunc feugiat nisi metus, ac consectetur magna efficitur tristique. Duis at orci quis lectus convallis blandit in vehicula orci. Morbi condimentum blandit ex. Suspendisse vehicula feugiat augue, euismod placerat arcu ultricies eget. Integer interdum, metus eu faucibus rutrum, quam erat ultrices est, eu iaculis metus quam id enim.
- [Berrybrook Middle School Book](https://codecodence.com/product/bag-fabric/) - Maecenas eleifend sapien erat, eget suscipit quam volutpat condimentum. Duis gravida dui enim, vel consectetur urna commodo at. Sed laoreet volutpat venenatis.
- [Bitcoin for The Trenches](https://codecodence.com/product/cup-crown-pattern/) - Nullam convallis hendrerit felis et sollicitudin. Nullam molestie dapibus ultrices. Nullam sed congue erat. Fusce leo metus, lacinia vel nisl quis, ullamcorper luctus massa. Nullam nisi lectus, molestie mattis pulvinar at, pharetra at neque.
- [Coding for Kids in C+](https://codecodence.com/product/princely-pencil/) - Nunc interdum orci purus, sed rhoncus ante pulvinar ut. Nunc id porta diam, vitae elementum nisl. Nulla augue urna, elementum ac arcu a, efficitur malesuada dolor.
- [Graphic Design for Beginners](https://codecodence.com/product/daham/) - Proin congue vulputate augue, eget sagittis felis congue non. Donec eu turpis mattis, ultrices velit vitae, imperdiet nibh. Fusce non urna sed ante dapibus hendrerit. Mauris varius orci efficitur mi pellentesque, eget varius libero aliquam.
- [Start a Clothing Company](https://codecodence.com/product/funka/) - Ut a lacus sed ligula venenatis aliquet. Phasellus mattis vehicula massa at ultricies. Fusce facilisis vel augue et volutpat. Fusce ultrices lobortis augue, vitae pellentesque felis. In ipsum leo, laoreet ut ex sit amet, dignissim porttitor quam.
- [In Case You're Curious](https://codecodence.com/product/klappkarte-kreuzstich/) - Donec feugiat mauris non quam efficitur mollis. Etiam ornare neque id lacus tempus, at rhoncus tortor placerat. Nunc eu tempus elit. Nulla blandit sapien non dictum dictum.
- [It Won't Be Easy](https://codecodence.com/product/cup-princely-break/) - Curabitur accumsan quis urna aliquam fringilla. Nullam velit nisl, pulvinar sit amet pulvinar eu, rhoncus ac nisl. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris nec consectetur nisi. Donec eget quam sed velit facilisis malesuada quis sit amet ante.
- [Passive Income & Crypto](https://codecodence.com/product/fursten-hutchen/) - Nunc semper, dolor vel consequat pellentesque, enim nibh scelerisque odio, at blandit nisi quam non metus. Donec dictum risus ex, quis scelerisque turpis sollicitudin at.
- [Programming Basics for Absolute](https://codecodence.com/product/chutney/) - In congue, odio eget efficitur egestas, neque est sodales leo, quis interdum arcu mauris quis nisl. Maecenas et augue ligula. Suspendisse ornare, lorem sed finibus suscipit, nisl augue pellentesque lacus, quis rhoncus dui est bibendum dolor. Nunc dignissim lacus diam, et blandit neque aliquam a.
- [What Do You Need to Know](https://codecodence.com/product/brauhaus/) - Maecenas a arcu placerat, efficitur sem a, euismod magna. Morbi at purus auctor, venenatis ex eget, pretium tellus. Pellentesque bibendum orci non neque semper, quis semper nulla laoreet.
- [Programming Fundamentals](https://codecodence.com/product/smartphone-cases/) - Phasellus tempus ultrices metus, eget volutpat nunc placerat nec. Donec porta, elit vitae hendrerit cursus, ex metus porta purus, quis imperdiet augue arcu sed erat. Donec dignissim enim id arcu vestibulum, a ultricies augue efficitur.
- [The Complete Shopify Store](https://codecodence.com/product/buschla/) - Aenean porta sit amet ipsum et pretium. In tempor mauris lectus, non tempor diam facilisis id. Nam nec magna metus. Sed ut risus tincidunt risus tempor venenatis. Proin imperdiet quis nisi sed tristique.
- [The Non-Designer's Design Book](https://codecodence.com/product/corkscrew/) - Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. Donec eu libero sit amet quam egestas semper. Aenean ultricies mi vitae est. Mauris placerat eleifend leo.

## Thim Elementor Templates

- [Footer](https://codecodence.com/?thim_elementor_kit=footer) - Get in touch Call us directly?(+91) - 97113-81356 Address111 A/B, Gali No.7 Laxmi Vihar, Dwarka Mor, New Delhi - 110059 Emailcontact@codecodence.com Popular Categories Data Science Artificial Intelligence Data Analytics Database Company About Us Terms and Conditions Cancellation Policy Privacy Policy Refund Policy Connect with us Youtube Facebook Instagram LinkedIn Twitter © 2025 Code Codence.All rights
- [Single Course](https://codecodence.com/?thim_elementor_kit=single-course) - Home Single Course Courses you might be interested in See more
- [Header](https://codecodence.com/?thim_elementor_kit=header) - Special welcome gift for new members. Get 10% off your first purchase with code “NEWCODECODENCE”. Explore Now! Back Home Company About Us Terms And Conditions Privacy Policy Refund Policy Cancellation Policy All Courses Data Analytics Artificial Intelligence Data Science Database Programming Language Web Designing & Web Development Services Academic & Student Project Support & Development
- [Archive Course Grid](https://codecodence.com/?thim_elementor_kit=archive-course-grid) - Home Archive Course Grid Showing 1-8 of 13 results Newly publishedTitle a-zTitle z-aPrice high to lowPrice low to highPopularAverage Ratings Data Science Data Science With Gen AI codecodence Duration :- 12 Months Data Science With Gen AI Course – Code Codence Unlock the world of data-driven decision-making with Code Codence complete Data Science with Gen
- [Single Course Offline](https://codecodence.com/?thim_elementor_kit=single-course-offline) - Home Single Course Offline Try for free Courses you might be interested in See more
- [Archive Course Grid 2 Columns](https://codecodence.com/?thim_elementor_kit=archive-course-grid-2-columns) - Home Archive Course Grid 2 Columns Showing 1-8 of 13 results Newly publishedTitle a-zTitle z-aPrice high to lowPrice low to highPopularAverage Ratings Data Science Data Science With Gen AI codecodence Duration :- 12 Months Data Science With Gen AI Course – Code Codence Unlock the world of data-driven decision-making with Code Codence complete Data Science
- [Blog Infinite Scroll](https://codecodence.com/?thim_elementor_kit=blog-infinite-scroll) - Home Blog Infinite Scroll Categories No categories found. Archives Newest templateAdvertise your offline course to a wider audience with our landing page. Try for free
- [Blog Load More](https://codecodence.com/?thim_elementor_kit=blog-load-more) - Home Blog Load More Categories No categories found. Archives
- [Archive Course Infinite Scroll](https://codecodence.com/?thim_elementor_kit=archive-course-infinite-scroll) - Home Archive Course Infinite Scroll Showing 1 - 8 of 13 results Newly publishedTitle a-zTitle z-aPrice high to lowPrice low to highPopularAverage Ratings Data Science Data Science With Gen AI codecodence Duration :- 12 Months Data Science With Gen AI Course – Code Codence Unlock the world of data-driven decision-making with Code Codence complete Data
- [Archive Course Load More](https://codecodence.com/?thim_elementor_kit=archive-course-load-more) - Home Archive Course Load More Showing 1 - 8 of 13 results Newly publishedTitle a-zTitle z-aPrice high to lowPrice low to highPopularAverage Ratings Data Science Data Science With Gen AI codecodence Duration :- 12 Months Data Science With Gen AI Course – Code Codence Unlock the world of data-driven decision-making with Code Codence complete Data
- [Blog List](https://codecodence.com/?thim_elementor_kit=blog-list) - Home Blog List Categories No categories found. Archives Newest templateAdvertise your offline course to a wider audience with our landing page. Try for free
- [Loop Item Post List](https://codecodence.com/?thim_elementor_kit=loop-item-post-list) - Loop Item Post List 12/09/2023 Read more September 12, 2023 Read more
- [Archive Course List](https://codecodence.com/?thim_elementor_kit=archive-course-list) - Home Archive Course List Showing 1-8 of 13 results Newly publishedTitle a-zTitle z-aPrice high to lowPrice low to highPopularAverage Ratings Add to Wishlist Data Science Data Science With Gen AI codecodence Duration :- 12 Months Data Science With Gen AI Course – Code Codence Unlock the world of data-driven decision-making with... 92 Lessons ₹69,999.00₹49,999.00 Start
- [Loop Item Course List](https://codecodence.com/?thim_elementor_kit=loop-item-course-list) - Loop Item Course List Start Learning Start Learning
- [Loop Item Post Grid](https://codecodence.com/?thim_elementor_kit=loop-item-post-grid) - Loop Item Post Grid 07/09/2023 Read more September 7, 2023 Read more
- [Loop Item Course Grid](https://codecodence.com/?thim_elementor_kit=loop-item-course-grid) - Loop Item Course Grid Start Learning Start Learning
- [Single Course Item](https://codecodence.com/?thim_elementor_kit=single-course-item) - Single Course Item Search
- [Single Blog](https://codecodence.com/?thim_elementor_kit=single-blog) - Home Single Blog codecodence June 28, 2023 Home How To Create An Online Course by Keny White Description Instructor What you’ll learn Automate tasks on their computer by writing simple Python programs. Programmatically generate and update Excel spreadsheets. Crawl web sites and pull information from online sources. Use Python’s debugging tools to quickly figure out
- [Blog Grid](https://codecodence.com/?thim_elementor_kit=blog-grid) - Home Blog Grid Categories No categories found. Archives Newest templateAdvertise your offline course to a wider audience with our landing page. Try for free

## Projects

- [Soft skills](https://codecodence.com/portfolio/about-soft-skills/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into
- [Up your skill](https://codecodence.com/portfolio/up-your-skill/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into
- [Startup Team](https://codecodence.com/portfolio/startup-team/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into
- [Home Work](https://codecodence.com/portfolio/home-work/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into
- [Keeping smile](https://codecodence.com/portfolio/keeping-smile/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into
- [Opened book](https://codecodence.com/portfolio/opened-book/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into
- [Library](https://codecodence.com/portfolio/library/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into
- [Reading glasses](https://codecodence.com/portfolio/reading-glasses/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into
- [Design cover](https://codecodence.com/portfolio/design-cover/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into
- [Fighting](https://codecodence.com/portfolio/fighting/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into
- [Reading book](https://codecodence.com/portfolio/reading-book/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into
- [Electronic book](https://codecodence.com/portfolio/electronic-book/) - Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into

## Project Types

- [Books](https://codecodence.com/portfolio_category/books/)
- [Courses](https://codecodence.com/portfolio_category/courses/)
- [Presentations](https://codecodence.com/portfolio_category/presentations/)

## Product categories

- [Accessories](https://codecodence.com/product-category/accessories/)
- [Cookware](https://codecodence.com/product-category/cookware/)
- [Culinary](https://codecodence.com/product-category/culinary/)
- [Postcard](https://codecodence.com/product-category/postcard/)

## Event Categories

- [Data Science](https://codecodence.com/tp-event-category/data-science/)

## Event Tags

- [Data Science Workshop](https://codecodence.com/tp-event-tag/data-science-workshop/)
- [Master Data Science](https://codecodence.com/tp-event-tag/master-data-science/)
- [Live Workshop](https://codecodence.com/tp-event-tag/live-workshop/)
- [Online Data Science Training](https://codecodence.com/tp-event-tag/online-data-science-training/)
- [Data Science for Beginners](https://codecodence.com/tp-event-tag/data-science-for-beginners/)
- [Data Science Career](https://codecodence.com/tp-event-tag/data-science-career/)
- [Real-World Case Studies](https://codecodence.com/tp-event-tag/real-world-case-studies/)
- [Tools and Techniques](https://codecodence.com/tp-event-tag/tools-and-techniques/)
- [Python for Data Science](https://codecodence.com/tp-event-tag/python-for-data-science/)
- [Data Analytics](https://codecodence.com/tp-event-tag/data-analytics/)
- [Machine Learning Basics](https://codecodence.com/tp-event-tag/machine-learning-basics/)
- [Job Roles in Data Science](https://codecodence.com/tp-event-tag/job-roles-in-data-science/)
- [Salary Insights](https://codecodence.com/tp-event-tag/salary-insights/)
- [Data Science Career Growth](https://codecodence.com/tp-event-tag/data-science-career-growth/)
- [Chitransh Saxena](https://codecodence.com/tp-event-tag/chitransh-saxena/)
- [Data Science Mentor](https://codecodence.com/tp-event-tag/data-science-mentor/)
- [Code Codence Workshop](https://codecodence.com/tp-event-tag/code-codence-workshop/)
- [Tech Workshop](https://codecodence.com/tp-event-tag/tech-workshop/)
- [IT Skills Development](https://codecodence.com/tp-event-tag/it-skills-development/)
- [Live Training Event](https://codecodence.com/tp-event-tag/live-training-event/)

## Event Types

- [✅ Workshop](https://codecodence.com/tp-event-type/✅-workshop/)
- [✅ Live Online Training](https://codecodence.com/tp-event-type/✅-live-online-training/)
- [✅ Professional Development Session](https://codecodence.com/tp-event-type/✅-professional-development-session/)
- [✅ Tech Skills Workshop](https://codecodence.com/tp-event-type/✅-tech-skills-workshop/)
- [✅ Data Science Webinar](https://codecodence.com/tp-event-type/✅-data-science-webinar/)
- [✅ Hands-On Coding Workshop](https://codecodence.com/tp-event-type/✅-hands-on-coding-workshop/)
- [✅ Career Guidance Event](https://codecodence.com/tp-event-type/✅-career-guidance-event/)
- [✅ Instructor-Led Training](https://codecodence.com/tp-event-type/✅-instructor-led-training/)
- [✅ Virtual Learning Event](https://codecodence.com/tp-event-type/✅-virtual-learning-event/)
- [✅ Educational Workshop](https://codecodence.com/tp-event-type/✅-educational-workshop/)

## Course Categories

- [Data Science](https://codecodence.com/course-category/data-science/)
- [Web Designing & Web Development](https://codecodence.com/course-category/web-designing-web-development/)
- [Data Analytics](https://codecodence.com/course-category/data-analytics/)
- [Programming Language](https://codecodence.com/course-category/programming-language/)
- [Database](https://codecodence.com/course-category/database/)
- [Artificial Intelligence](https://codecodence.com/course-category/artificial-intelligence/)

## Course Tags

- [css](https://codecodence.com/course-tag/css/)
- [foundation](https://codecodence.com/course-tag/foundation/)
- [python](https://codecodence.com/course-tag/python/)
- [Advance](https://codecodence.com/course-tag/advance/)
- [Data Science](https://codecodence.com/course-tag/data-science/)
- [Hot](https://codecodence.com/course-tag/hot/)
- [New](https://codecodence.com/course-tag/new/)
- [Popular](https://codecodence.com/course-tag/popular/)
- [Sale](https://codecodence.com/course-tag/sale/)
- [Agile Developmen](https://codecodence.com/course-tag/agile-developmen/)
- [Cloud Deployment](https://codecodence.com/course-tag/cloud-deployment/)
- [Cross-Platform](https://codecodence.com/course-tag/cross-platform/)
- [Django](https://codecodence.com/course-tag/django/)
- [Docker](https://codecodence.com/course-tag/docker/)
- [FastAPI](https://codecodence.com/course-tag/fastapi/)
- [Flask](https://codecodence.com/course-tag/flask/)
- [Full Stack Development](https://codecodence.com/course-tag/full-stack-development/)
- [Microservices](https://codecodence.com/course-tag/microservices/)
- [ORM](https://codecodence.com/course-tag/orm/)
- [populor](https://codecodence.com/course-tag/populor/)
- [React](https://codecodence.com/course-tag/react/)
- [Responsive Design](https://codecodence.com/course-tag/responsive-design/)
- [REST API](https://codecodence.com/course-tag/rest-api/)
- [SQL](https://codecodence.com/course-tag/sql/)
- [Version Control](https://codecodence.com/course-tag/version-control/)
- [Vue.js](https://codecodence.com/course-tag/vue-js/)
- [Web Development](https://codecodence.com/course-tag/web-development/)
- [data analytices using python](https://codecodence.com/course-tag/data-analytices-using-python/)
- [Data Analytics](https://codecodence.com/course-tag/data-analytics/)
- [AI](https://codecodence.com/course-tag/ai/)
- [Artificial Intelligence](https://codecodence.com/course-tag/artificial-intelligence/)