Module 1: Introduction to Power BI

• Overview of Business Intelligence (BI) & Data Analytics
• Introduction to Power BI Desktop, Power BI Service & Power BI Mobile
• Understanding Data Sources & Connectivity
• Power BI Licensing & Deployment Options

Module 2: Data Extraction & Transformation (Power Query)

• Connecting to Various Data Sources (Excel, SQL, APIs, Cloud)
• Data Cleaning & Transformation with Power Query
• Merging & Appending Queries
• Data Types & Column Operations

Module 3: Data Modeling & DAX (Data Analysis Expressions)

• Introduction to Data Modeling & Relationships
• Star & Snowflake Schema in Power BI
• Understanding DAX (Measures vs. Calculated Columns)
• Key DAX Functions: SUM, COUNT, IF, SWITCH, FILTER, CALCULATE
• Creating Time Intelligence Functions (YTD, MTD, QTD)

Module 4: Data Visualization & Dashboard Design

• Creating Tables, Matrices, Bar & Line Charts, Maps
• Advanced Visuals: KPI, Gauge, Cards, Waterfall Charts
• Using Bookmarks, Tooltips, and Drill-Through
• Best Practices for Dashboard Design

Module 5: Power BI Service & Cloud Features

• Publishing & Sharing Dashboards on Power BI Service
• Creating Workspaces, Apps & Row-Level Security (RLS)
• Scheduling Data Refresh & Auto Updates
• Embedding Reports in Websites & Apps

Module 6: Advanced Analytics & AI in Power BI

• Forecasting & Trend Analysis
• Clustering & Anomaly Detection
• Using AI-Powered Visuals (Decomposition Tree, Key Influencers)
• Python & R Integration in Power BI

Module 7: Power Automate & Power BI Integration

• Automating Workflows with Power Automate
• Connecting Power BI with Power Apps & Microsoft 365
• Exporting & Automating Reports in Excel/PDF