Module 1: Introduction to Power BI

• Overview of Business Intelligence and Data Analytics
• Introduction to Power BI and its components
• Power BI Desktop vs Power BI Service
• Installation and interface walkthrough
• Connecting Power BI with Excel and other data sources

Outcome:

Students understand how Power BI works and how to start building data models.

Module 2: Data Importing and Transformation (Power Query)

• Importing data from Excel, CSV, Web, SQL, and other sources
• Data cleaning and transformation techniques
• Using Power Query Editor for data shaping
• M Language basics
• Handling null values, duplicates, and merging datasets

Outcome:

Students can clean and prepare real-world data for visualization and reporting.

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

• Understanding relationships and data modeling
• Calculated columns, measures, and quick measures
• Introduction to DAX formulas and expressions
• Common DAX functions: SUM, CALCULATE, FILTER, RELATED
• Time intelligence and data analysis with DAX

Outcome:

Students learn how to build dynamic reports using powerful DAX functions.

Module 4: Data Visualization and Dashboard Creation

• Creating charts, tables, cards, and KPIs
• Using slicers, filters, and visuals effectively
• Formatting and customizing visuals
• Interactive dashboards and storytelling with data
• Designing professional Power BI reports

Outcome:

Students can create professional, interactive, and visually appealing dashboards.

Module 5: Power BI Service and Sharing Reports

• Publishing reports to Power BI Service
• Creating and managing workspaces
• Sharing dashboards securely online
• Power BI Mobile and embedded analytics
• Refresh schedules and data gateways

Outcome:

Students understand how to publish, share, and maintain reports professionally.

Module 6: Advanced Power BI Features

• Row-Level Security (RLS) and permissions
• Integration with Excel, Teams, and SharePoint
• AI visuals and natural language queries
• Performance optimization and best practices
• Real-time data and streaming dashboards

Outcome:

Students gain advanced Power BI skills for professional analytics roles.