• Connecting to Data Sources (Excel, SQL Server, Web, etc.)
• Understanding Data Types and Formats
• Data Loading and Transformation
• Introduction to Power Query Editor
• Creating and Managing Data Models

 • Data Shaping and Transformation Techniques
• Using Power Query Editor for Data Cleaning
• Merging and Appending Queries
• Handling Missing Data and Errors
• Advanced Data Transformation (Pivoting, Unpivoting, Transpose)

 • Understanding Relationships and Cardinality
• Creating and Managing Relationships Between Tables
• Introduction to DAX (Data Analysis Expressions)
• Calculated Columns and Measures
• Understanding and Creating Hierarchies

 • Introduction to DAX Syntax and Functions
• Basic DAX Functions (SUM, AVERAGE, COUNT, DISTINCT)
• Time Intelligence Functions (YTD, MTD, QTD)
• Advanced DAX Concepts (CALCULATE, FILTER, ALL)
• Using DAX for Conditional Calculations and KPIs

 • Introduction to Data Visualization Principles
• Creating Basic Visualizations (Bar Charts, Line Charts, Pie Charts)
• Customizing Visuals (Formatting, Colors, Labels)
• Advanced Visualizations (Maps, Gauges, Treemaps)
• Using Custom Visuals from the Power BI Marketplace

 • Designing Interactive Dashboards
• Using Slicers and Filters
• Drill-Through and Drill-Down Techniques
• Creating and Managing Bookmarks
• Linking Visuals for Interactive Reports

• Introduction to Power BI Service
• Publishing Reports to Power BI Service
• Sharing Reports and Dashboards
• Managing Workspaces and Collaboration
• Data Refresh in Power BI Service

 • Connecting Excel to Power BI
• Importing and Exporting Data Between Power BI and Excel
• Using Excel PivotTables and Charts with Power BI Data
• Power BI Publisher for Excel
• Analyzing Power BI Data in Excel

 • Overview of Power BI Mobile
• Creating Mobile-Optimized Reports
• Power BI Mobile Apps for iOS, Android, and Windows
• Introduction to Power BI Embedded
• Embedding Power BI Reports in Web Applications

 • Introduction to Row-Level Security in Power BI
• Creating and Managing Security Roles
• Implementing RLS in Power BI Desktop
• Testing RLS in Power BI Service
• Best Practices for Implementing RLS

 • Integrating Power BI with R and Python
• Using R and Python Scripts in Power BI
• Introduction to AI Visuals in Power BI (Q&A, Key Influencers, Decomposition Tree)
• Predictive Analytics in Power BI
• Using Power BI for Advanced Data Science Projects

 • Best Practices for Data Modeling in Power BI
• Optimizing DAX Calculations for Performance
• Using Aggregations to Improve Performance
• Monitoring and Diagnosing Report Performance
• Handling Large Datasets in Power BI

 • Real-World Power BI Case Studies (Finance, Healthcare, Retail, etc.)
• Group Exercises and Collaborative Projects
• Building End-to-End BI Solutions with Power BI
• Developing Reports for Different Business Scenarios
• Final Project Presentation and Review

 • Introduction to Power BI Governance
• Managing Power BI Tenant Settings
• Administering Power BI Workspaces and Users
• Auditing and Monitoring Power BI Usage
• Power BI Premium Features and Administration