1. Introduction to Power BI
• Overview of Power BI tools (Power BI Desktop, Power BI Service, Power BI Mobile)
• Power BI Interface and Navigation
• Installing Power BI Desktop
• Understanding the Power BI ecosystem (Power BI Desktop, Power BI Service, Power BI Report Server)
2. Connecting to Data Sources
• Importing Data (Excel, CSV, Text, SQL, Web, etc.)
• Connecting to databases (SQL Server, Oracle, MySQL, etc.)
• Using Power Query Editor
• Data transformation and shaping using Power Query
• Combining data from multiple sources
3. Data Modeling
• Introduction to data modeling
• Creating relationships between tables (One-to-many, Many-to-many)
• Creating calculated columns and measures using DAX (Data Analysis Expressions)
• Creating hierarchies
• Understanding the Star Schema and Snowflake Schema
• Using Power BI Data Modeler tools
4. Data Visualization and Reporting
• Creating visualizations (Charts, Tables, Maps, etc.)
• Formatting visualizations for better presentation
• Using slicers, filters, and drill-through functionality
• Working with Conditional Formatting
• Creating and customizing Dashboards
• Creating interactive reports and linking visuals
5. DAX (Data Analysis Expressions) Basics
• Introduction to DAX and its use in Power BI
• Working with basic DAX functions (SUM, AVERAGE, COUNT, etc.)
• Understanding Context (Row Context vs Filter Context)
• Time Intelligence functions (YTD, QTD, MTD, etc.)
• Calculated columns vs Measures
• Using Variables in DAX
6. Advanced Data Modeling with DAX
• Using advanced DAX functions (CALCULATE, FILTER, ALL, etc.)
• Handling Time Intelligence with DAX
• Aggregations, ranking, and grouping in DAX
• Optimizing DAX calculations
• Creating Key Performance Indicators (KPIs)
• Using advanced DAX techniques for financial and complex analysis
7. Power BI Service (Cloud)
• Introduction to Power BI Service
• Publishing reports to Power BI Service
• Understanding workspaces, datasets, and reports
• Setting up scheduled refresh and data alerts
• Creating and sharing dashboards
• Row-level security (RLS) in Power BI Service
• Collaboration and sharing features (app workspaces, commenting, sharing reports)
8. Power BI Administration
• Managing Power BI workspaces and content
• Configuring user roles and permissions
• Power BI security and governance
• Data refresh management
• Using Power BI Admin Portal
• Monitoring and auditing Power BI usage
9. Power BI Mobile
• Using Power BI Mobile for viewing reports
• Mobile-specific features (Alerts, Touch Interactions)
• Best practices for optimizing reports for mobile devices
10. Power BI Advanced Features
• Custom visuals (Importing and using custom visuals)
• Using R and Python in Power BI (for advanced analytics and visualizations)
• Power BI Embedded (Embedding reports into applications)
• Using Power BI API for automation
• Power BI and Azure Integration (Azure Data Lake, Azure SQL Database)
11. Best Practices
• Designing effective reports and dashboards
• Performance optimization techniques for large datasets
• Power BI performance tuning
• Visual design best practices
• Data storytelling and presentation
12. Power BI Certification Exam Preparation (Optional)
• Power BI Certification Exam Overview (e.g., DA-100 Exam)
• Key exam topics and resources
• Practice questions and hands-on projects
13. Capstone Project (Optional)
• Apply all skills learned to build a complete Power BI project
• Present a real-world use case scenario (e.g., Sales analysis, Financial modeling, or Marketing campaigns)
• Share the report and analysis with stakeholders
