Module 1: Introduction to Data Analytics

• Overview of Data Analytics
  • Importance and Applications
  • Data Analytics Process
• Tools and Technologies
  • Setting Up Development Environment
  • Version Control with Git and GitHub

Module 2: Advanced Python for Data Analysis

• Python Basics Refresher
  • Basic Syntax and Data Types
  • Control Structures (if, for, while)
  • Functions and Modules
• Data Handling with Python
  • NumPy for Numerical Computations
  • Pandas for Data Manipulation
  • Matplotlib and Seaborn for Data Visualization
• Advanced Python Techniques
  • Working with APIs
  • Data Cleaning and Preparation
  • Lambda Functions and List Comprehensions

Module 3: SQL for Data Analytics

• Introduction to SQL
  • Basic Queries (SELECT, INSERT, UPDATE, DELETE)
  • Joins, Subqueries, and Aggregations
• Advanced SQL
  • Window Functions
  • Common Table Expressions (CTEs)
  • Performance Optimization
• SQL in Practice
  • Database Design and Normalization
  • Writing Complex Queries
  • Integrating SQL with Python (using libraries like SQLAlchemy)

Module 4: Statistics for Data Analytics

• Descriptive Statistics
  • Measures of Central Tendency (Mean, Median, Mode)
  • Measures of Dispersion (Variance, Standard Deviation)
  • Data Distribution (Histograms, Boxplots)
• Inferential Statistics
  • Probability Distributions (Normal, Binomial)
  • Hypothesis Testing (t-tests, chi-square tests)
  • Confidence Intervals
• Regression Analysis
  • Linear Regression
  • Multiple Regression
  • Logistic Regression

Module 5: Excel for Data Analysis

• Excel Basics
  • Data Entry and Formatting
  • Formulas and Functions
• Advanced Excel
  • Pivot Tables and Charts
  • Data Analysis Toolpak
  • VBA Macros for Automation
• Excel in Practice
  • Advanced Formulas (VLOOKUP, HLOOKUP, INDEX, MATCH)
  • Data Cleaning and Preparation
  • Building Interactive Dashboards

Module 6: Power BI for Data Visualization

• Introduction to Power BI
  • Setting Up Power BI
  • Connecting to Data Sources
• Building Reports and Dashboards
  • Creating Visualizations
  • DAX (Data Analysis Expressions) Basics
• Advanced Power BI
  • Advanced DAX Functions
  • Power BI Service for Collaboration
  • Custom Visuals and Integrations
• Power BI in Practice
  • Data Modeling
  • Creating Interactive Reports
  • Publishing and Sharing Dashboards

Module 7: Integrative Project

• Project Planning
  • Defining Requirements and Scope
  • Data Collection and Preparation
• Implementation
  • Data Analysis and Visualization
  • Generating Insights and Reporting
• Presentation
  • Creating a Comprehensive Report
  • Presenting Findings to Stakeholders