Curriculum
12 Sections
92 Lessons
52 Weeks
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PYTHON (3 Months)
35
1.1
Module 1: Introduction to PythonCopy
1.2
Module 2: Writing and Executing Your First Python ProgramCopy
1.3
Module 3: Python Language FundamentalsCopy
1.4
Module 5: Python Conditional StatementsCopy
1.5
Module 6: Looping StatementsCopy
1.6
Module 4: Standard Data TypesCopy
1.7
Module 7: String HandlingCopy
1.8
Module 8: Python ListCopy
1.9
Module 10: Python SetCopy
1.10
Module 9: Python TupleCopy
1.11
Module 11: Python DictionaryCopy
1.12
Module 12: Python FunctionsCopy
1.13
Module 13: Modules & PackagesCopy
1.14
Module 14: File I/OCopy
1.15
Module 15: Object Oriented ProgrammingCopy
1.16
Module 16: Exception HandlingCopy
1.17
Module 17: Regular Expressions (Regex)Copy
1.18
PYTHONCopy
1 Hour
50 Questions
1.19
Module 1 Introduction to Python (Assignment Questions)Copy
1 Week
1.20
Module 2 Writing and Executing Your First Python Program (Assignment Questions)Copy
1 Week
1.21
Module 3 Python Language Fundamentals(Assignment Questions)Copy
1 Week
1.22
Module 4 Standard Data Types (Assignment Questions)Copy
1 Week
1.23
Module 5 Python Conditional Statements (Assignment Questions)Copy
1 Week
1.24
Module 6 Looping Statements (Assignment Questions)Copy
1 Week
1.25
Module 7 String Handling (Assignment Questions)Copy
1 Week
1.26
Module 8 Python List (Assignment Questions)Copy
1 Week
1.27
Module 9 Python Tuple (Assignment Questions)Copy
1 Week
1.28
Module 10 Python Set & Frozenset (Assignment Questions)Copy
1 Week
1.29
Module 11 Python Dictionary (Assignment Questions)Copy
1 Day
1.30
Module 12 Python Functions (Assignment Questions)Copy
1 Week
1.31
Module 13 Modules & Packages (Assignment Questions)Copy
1 Week
1.32
Module 14 File IO (Assignment Questions)Copy
1 Week
1.33
Module 15 Object Oriented Programming (Assignment Questions)Copy
1 Week
1.34
Module 16 Exception Handling (Assignment Questions)Copy
1 Week
1.35
Module 17 Regular Expressions (Regex) (Assignment Questions)Copy
1 Week
SQL (Structured Query Language)
23
2.1
Module 1: SQL BasicsCopy
2.2
Module 2: DML, DDL & DQLCopy
2.3
Module 3: SQL ConstraintsCopy
2.4
Module 4: Querying DataCopy
2.5
Module 5: SQL JoinsCopy
2.6
Module 6: SQL FunctionsCopy
2.7
Module 7: Aggregate Functions and GroupingCopy
2.8
Module 8: Subqueries and Nested QueriesCopy
2.9
Module 9: Window FunctionsCopy
2.10
Module 10: Indexing and Performance OptimizationCopy
2.11
Module 11: Data Warehousing ConceptsCopy
2.12
Module 1 SQL Basics (Assignment Questions)Copy
1 Week
2.13
Module 2 DML, DDL & DQL (Assignment Questions)Copy
1 Week
2.14
Module 3 SQL Constraints (Assignment Questions)Copy
1 Week
2.15
Module 4 Querying Data Assignment QuestionsCopy
1 Week
2.16
Module 5 SQL Joins (Assignment Questions)Copy
1 Week
2.17
Module 6 SQL Functions (Assignment Questions)Copy
1 Week
2.18
Module 7 Aggregate Functions and Grouping (Assignment Questions)Copy
1 Day
2.19
Module 8 Subqueries and Nested Queries (Assignment Questions)Copy
1 Week
2.20
Module 9 Window Functions (Assignment Questions)Copy
1 Week
2.21
Module 10 Indexing and Performance Optimization (Assignment Questions)Copy
1 Week
2.22
Module 11 Data Warehousing Concepts (Assignment Questions)Copy
1 Week
2.23
SQL (Structured Query Language)Copy
1 Hour
50 Questions
PYTHON LIBRARIES
11
3.1
Module 1: NumPy for Numerical ComputingCopy
3.2
Module 2: Pandas for Data ManipulationCopy
3.3
Module 3: Data Visualization with MatplotlibCopy
3.4
Module 4:Data Visualization with SeabornCopy
3.5
Module 5: Practical Applications and Case StudiesCopy
3.6
Module 1 NumPy for Numerical Computing(Assignment Questions)Copy
1 Week
3.7
Module 2 Pandas for Data Manipulation (Assignment Questions)Copy
1 Week
3.8
Module 3 Data Visualization with Matplotlib (Assignment Questions)Copy
1 Week
3.9
Module 4 Data Visualization with Seaborn (Assignment Questions)Copy
1 Week
3.10
Module 5 Practical Applications and Case Studies (Assignment Questions)Copy
1 Week
3.11
PYTHON LIBRARIESCopy
1 Hour
50 Questions
STATISTICS
11
4.1
Module 1: Introduction to StatisticsCopy
4.2
Module 2: Understanding Population and SamplesCopy
4.3
Module 3: Measures of Central Tendency and DispersionCopy
4.4
Module 4: Probability and Probability DistributionsCopy
4.5
Module 5: Hypothesis TestingCopy
4.6
Module 1 Introduction to Statistics (Assignment Questions)Copy
1 Week
4.7
Module 2 Understanding Population and Samples (Assignment Questions)Copy
1 Week
4.8
Module 3 Measures of Central Tendency and Dispersion (Assignment Questions)Copy
1 Week
4.9
Module 4 Probability and Probability Distributions (Assignment Questions)Copy
1 Week
4.10
Module 5 Hypothesis Testing (Assignment Questions)Copy
3 Days
4.11
STATISTICSCopy
1 Hour
50 Questions
MACHINE LEARNING
23
5.1
Module 1: Introduction to Machine LearningCopy
5.2
Module 2: Supervised LearningCopy
5.3
Module 3: Unsupervised LearningCopy
5.4
Module 4: Support Vector Machines (SVM)Copy
5.5
Module 5: Decision Tree ClassificationCopy
5.6
Module 6: Ensemble LearningCopy
5.7
Module 7: Model Selection TechniquesCopy
5.8
Module 8: Recommendation SystemsCopy
5.9
Module 9: Text AnalysisCopy
5.10
Module 10: Dimensionality ReductionCopy
5.11
Module 11: OpenCVCopy
5.12
Module 1 Introduction to Machine Learning (Assignment Questions)Copy
1 Week
5.13
Module 2 Supervised Learning (Assignment Questions)Copy
1 Week
5.14
Module 3 Unsupervised Learning (Assignment Questions)Copy
1 Week
5.15
Module 4 Support Vector Machines (SVM) (Assignment Questions)Copy
1 Week
5.16
Module 5 Decision Tree Classification (Assignment Questions)Copy
1 Week
5.17
Module 6 Ensemble Learning (Assignment Questions)Copy
1 Week
5.18
Module 7 Model Selection Techniques (Assignment Questions)Copy
1 Week
5.19
Module 8 Recommendation Systems (Assignment Questions)Copy
1 Week
5.20
Module 9 Text Analysis (Assignment Questions)Copy
1 Week
5.21
Module 10 Dimensionality Reduction (Assignment Questions)Copy
1 Week
5.22
Module 11 OpenCV (Assignment Questions)Copy
1 Week
5.23
MACHINE LEARNINGCopy
1 Hour
50 Questions
Deep Learning & Neural Networks
27
6.1
Module 1: Introduction to Artificial Neural NetworksCopy
6.2
Module 2: Introduction to Deep LearningCopy
6.3
Module 3: TensorFlow BasicsCopy
6.4
Module 4: OptimizersCopy
6.5
Module 5: Activation FunctionsCopy
6.6
Module 6: Building Artificial Neural NetworksCopy
6.7
Module 7: Modern Deep Learning Optimizers and RegularizationCopy
6.8
Module 8: Building Deep Neural Networks Using KerasCopy
6.9
Module 9: Convolutional Neural Networks (CNNs)Copy
6.10
Module 10: Word EmbeddingCopy
6.11
Module 11: Recurrent Neural Networks (RNNs)Copy
6.12
Module 12: Generative Adversarial Networks (GANs)Copy
6.13
Module 13: Speech Recognition APIsCopy
6.14
Module 1 Introduction to Artificial Neural Networks (Assignment Questions)Copy
1 Week
6.15
Module 2 Introduction to Deep Learning (Assignment Questions)Copy
1 Week
6.16
Module 3 TensorFlow Basics (Assignment Questions)Copy
1 Week
6.17
Module 4 Optimizers (Assignment Questions)Copy
1 Week
6.18
Module 5 Activation Functions (Assignment Questions)Copy
1 Week
6.19
Module 6 Building Artificial Neural Networks (Assignment Questions)Copy
1 Week
6.20
Module 7 Modern Deep Learning Optimizers and Regularization (Assignment Questions)Copy
1 Week
6.21
Module 9 Convolutional Neural Networks (CNNs) (Assignment Questions)Copy
1 Week
6.22
Module 10 Word Embedding (Assignment Questions)Copy
1 Week
6.23
Module 11 Recurrent Neural Networks (RNNs) (Assignment Questions)Copy
1 Week
6.24
Module 8 Building Deep Neural Networks Using Keras (Assignment Questions)Copy
1 Week
6.25
Module 12 Generative Adversarial Networks (GANs) (Assignment Questions)Copy
1 Week
6.26
Module 13 Speech Recognition APIs (Assignment Questions)Copy
1 Week
6.27
Deep Learning & Neural NetworksCopy
1 Hour
50 Questions
Capstone Project
1
7.1
Choose (Any 2)Copy
ADVANCE EXCEL
19
8.1
Module 1: Excel Basics and CustomizationCopy
8.2
Module 2: Advanced Functions and FormulasCopy
8.3
Module 3: Data Validation TechniquesCopy
8.4
Module 4: Data Organization and AnalysisCopy
8.5
Module 5: Power Functions for Data AnalyticsCopy
8.6
Module 6: Data Visualization TechniquesCopy
8.7
Module 7: Macros and AutomationCopy
8.8
Module 8: What-If Analysis ToolsCopy
8.9
Module 9: New Features and Enhancements in ExcelCopy
8.10
Module 1 Excel Basics and Customization (Assignment Questions)Copy
1 Week
8.11
Module 2 Advanced Functions and Formulas (Assignment Questions)Copy
1 Week
8.12
Module 3 Data Validation Techniques (Assignment Questions)Copy
1 Week
8.13
Module 4 Data Organization and Analysis (Assignment Questions)Copy
1 Week
8.14
Module 5 Power Functions for Data Analytics (Assignment Questions)Copy
1 Week
8.15
Module 6 Data Visualization Techniques (Assignment Questions)Copy
1 Week
8.16
Module 7 Macros and Automation (Assignment questions)Copy
1 Week
8.17
Module 8 What-If Analysis Tools (Assignment Questions)Copy
1 Week
8.18
Module 9 New Features and Enhancements in Excel (Assignment Questions)Copy
1 Week
8.19
ADVANCE EXCELCopy
1 Week
50 Questions
VBA (Visual Basic for Applications)
17
9.1
Module 1: Introduction to VBACopy
9.2
Module 2: Automating Data Tasks with MacrosCopy
9.3
Module 3: Fundamental VBA Programming ConceptsCopy
9.4
Module 4: Working with Excel ObjectsCopy
9.5
Module 5: Data Cleaning and TransformationCopy
9.6
Module 6: Advanced Data Manipulation TechniquesCopy
9.7
Module 7: User-Defined Functions (UDFs) for Data AnalysisCopy
9.8
Module 8: Data Visualization and ReportingCopy
9.9
Module 1 Introduction to VBA (Assignment Questions)Copy
1 Week
9.10
Module 2 Automating Data Tasks with Macros (Assignment Questions)Copy
1 Day
9.11
Module 3 Fundamental VBA Programming Concepts (Assignment Questions)Copy
1 Day
9.12
Module 4 Working with Excel Objects (Assignment Questions)Copy
1 Day
9.13
Module 5 Data Cleaning and Transformation (Assignment Questions)Copy
1 Week
9.14
Module 6 Advanced Data Manipulation Techniques (Assignment Questions)Copy
1 Week
9.15
Module 7 User-Defined Functions (UDFs) for Data Analysis (Assignment Questions)Copy
1 Week
9.16
Module 8 Data Visualization and Reporting (Assignment Questions)Copy
1 Week
9.17
VBA (Visual Basic for Applications)Copy
1 Hour
50 Questions
Tableau
14
10.1
Module 1: Tableau OverviewCopy
10.2
Module 2: Data SourcesCopy
10.3
Module 3: WorksheetsCopy
10.4
Module 4: CalculationsCopy
10.5
Module 5: Sorting & FilteringCopy
10.6
Module 6: Data VisualizationCopy
10.7
Module 7: ProjectsCopy
10.8
Module 1 Tableau Overview (Assignment Questions)Copy
1 Week
10.9
Module 2 Data Sources (Assignment Questions)Copy
1 Week
10.10
Module 3 Worksheets (Assignment Questions)Copy
1 Week
10.11
Module 4 Calculations (Assignment Questions)Copy
1 Week
10.12
Module 5 Sorting & Filtering (Assignment Questions)Copy
1 Week
10.13
Module 6 Data Visualization (Assignment Questions)Copy
1 Week
10.14
TableauCopy
1 Hour
50 Questions
Power BI
11
11.1
Module 1: Introduction to Power BICopy
11.2
Module 2: Data VisualizationCopy
11.3
Module 3: Power BI Service, Publishing & SharingCopy
11.4
Module 4: Data TransformationCopy
11.5
Module 5: Data Modeling & DAXCopy
11.6
Module 1 Introduction to Power BI (Assignment Questions)Copy
1 Week
11.7
Module 2 Data Visualization (Assignment Questions)Copy
1 Week
11.8
Module 3 Power BI Service, Publishing & Sharing (Assignment Questions)Copy
1 Week
11.9
Module 4 Data Transformation (Assignment Questions)Copy
1 Day
11.10
Module 5 Data Modeling & DAX (Assignment Questions)Copy
1 Week
11.11
Power BICopy
1 Hour
50 Questions
Final Exam
2
12.1
Data Science Using Python(Final Quiz)Copy
1 Hour
50 Questions
12.2
Data Science Final TestCopy
3 Hours
Data Science With Gen AI
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