Module 1: Introduction to Power BI

• Overview of Business Intelligence (BI)

• What is Power BI and its components

• Power BI Desktop vs. Power BI Service vs. Power BI Mobile

• Installing and setting up Power BI Desktop

• Power BI architecture and workflow

Module 2: Getting Data

• Connecting to different data sources (Excel, CSV, Web, Databases, Cloud, APIs)

• Power Query Editor basics

• Data transformation techniques (cleaning, merging, appending)

• Data profiling & shaping

• Handling errors and missing data

Module 3: Data Modeling

• Understanding data models

• Relationships (one-to-one, one-to-many, many-to-many)

• Star schema vs. Snowflake schema

• Creating calculated columns, tables, and measures

• Hierarchies and drill-downs

Module 4: DAX (Data Analysis Expressions)

• Introduction to DAX

• Calculated columns vs. Measures

• Basic functions (SUM, AVERAGE, COUNT, MIN, MAX)

• Logical functions (IF, SWITCH)

• Time intelligence functions (YTD, MTD, QTD, SAMEPERIODLASTYEAR)

• Advanced DAX (FILTER, ALL, CALCULATE, RELATED, RANKX)

Module 5: Data Visualization

• Power BI visualization best practices

• Creating and customizing visuals (Tables, Matrix, Charts, Maps, Cards, Gauges, etc.)

• Conditional formatting

• Slicers and Filters

• Drill-through and Tooltips

• Custom visuals from AppSource

Module 6: Power BI Service

• Publishing reports to Power BI Service

• Creating dashboards

• Sharing and collaborating

• Workspaces and Apps

• Data refresh schedules

• Row-level security (RLS)

Module 7: Advanced Power BI

• Bookmarks and storytelling with Power BI

• Advanced analytics with Q&A and AI visuals

• Integration with Excel and Teams

• Using Power Automate with Power BI

• Deployment pipelines

Module 8: Power BI Administration

• Admin roles and governance

• Security considerations

• Usage monitoring and audit logs

• Gateway configuration

• Best practices for enterprise deployment

Module 9: Project Work & Case Studies

• Real-time dashboard creation

• End-to-end BI solution (importing data → transforming → modeling → DAX → visualization → publishing)

• Industry-specific use cases (Finance, Sales, Marketing, HR, Operations)

Module 10: Interview Prep & Certification

• Power BI Certification (PL-300: Microsoft Power BI Data Analyst)

• Common interview questions

• Hands-on assignments

• Mock tests