Curriculum

  • 12 Sections
  • 92 Lessons
  • 52 Weeks
Expand all sectionsCollapse all sections
  • 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 Hour50 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 Hour50 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 Hour50 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 Hour50 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 Hour50 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 Hour50 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 Week50 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 Hour50 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 Hour50 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 Hour50 Questions
  • Final Exam
    2
    • 12.1
      Data Science Using Python(Final Quiz)Copy
      1 Hour50 Questions
    • 12.2
      Data Science Final TestCopy
      3 Hours

Data Science With Gen AI

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)

Next Module 2: Writing and Executing Your First Python ProgramCopy Next
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