Module 1: Introduction to Data Analytics

• Understanding Data Analytics & Its Importance
• Data Analytics vs. Data Science vs. Business Intelligence
• Overview of Tools: Microsoft Excel, Power BI, Tableau, SQL, and Python

Module 2: Microsoft Excel for Data Analysis

• Data Cleaning & Preparation in Excel
• Using Pivot Tables & Charts for Data Visualization
• Advanced Excel Functions (LOOKUPs, IF statements, INDEX-MATCH)
• Data Analysis with Power Query

Module 3: SQL for Data Analytics

• Introduction to Databases & SQL
• Writing SQL Queries (SELECT, JOIN, GROUP BY, HAVING)
• Data Cleaning & Transformation in SQL
• Optimizing Queries & Working with Large Datasets

Module 4: Power BI for Business Intelligence

• Introduction to Power BI & Data Connections
• Creating Interactive Dashboards
• DAX Functions for Advanced Calculations
• Publishing & Sharing Reports

Module 5: Tableau for Data Visualization

• Connecting & Preparing Data in Tableau
• Building Interactive Visualizations
• Advanced Analytics with Calculated Fields
• Dashboard Design & Storytelling

Module 6: Python for Data Analysis

• Introduction to Python & Jupyter Notebooks
• Data Manipulation with Pandas & NumPy
• Data Visualization with Matplotlib & Seaborn
• Automating Data Analysis with Python

Module 7: Data-Driven Decision Making

• Identifying Business Problems & KPIs
• Storytelling with Data
• A/B Testing & Hypothesis Testing
• Presenting Insights to Stakeholders

Module 8: Capstone Project & Case Studies

• End-to-End Data Analytics Project
• Real-World Business Case Studies
• Portfolio Development & Career Path Guidance