Session 1: Understanding Power BI
What is Power BI?
Importance of data visualization
Key Power BI concepts and terminologies
Power BI's role in data-driven decision-making
Session 2: Power BI Components
Power BI Desktop
Power BI Service
Power BI Mobile
Power BI Embedded
Differences and use cases
Session 3: Power BI Desktop
Downloading and installing Power BI Desktop
Connecting to data sources
Loading and transforming data
The Power Query Editor
Session 4: Data Modeling in Power BI
Understanding data modelings
Creating relationships between tables
DAX (Data Analysis Expressions) basics
Measures and calculated columns
Session 5: Building Visualizations
Power BI visuals (charts, tables, maps, etc.)
Creating and formatting visuals
Slicers and filters
Custom visuals
Session 6: Design Best Practices
Principles of effective data visualization
Choosing the right chart type
Designing for user engagement
Accessibility considerations
Session 7: Interactive Dashboards
Creating interactive dashboards
Dashboard navigation and layout
Bookmarking and buttons
Drill-through and drill-down
Session 8: Power BI Tips & Tricks
Time-saving shortcuts and features
Custom themes and branding
Data storytelling
Q&A and natural language querying
Session 9: Advanced Data Transformation
Advanced Power Query transformations
M code fundamentals
Combining and shaping data
Parameters and functions
Session 10: Data Integration
Data source options (SQL, Excel, web, APIs, etc.)
Dataflows and Power Query Online
Power BI Data Gateway
Real-time data streaming
Session 11: Data Security & Privacy
Data security in Power BI
Row-level security
Data encryption and protection
Compliance considerations
Session 12: Power BI & Other Microsoft Tools
Integrating Power BI with Excel
Power BI and Azure services (Azure Synapse Analytics, Azure Data Lake, etc.)
Power BI and SharePoint
Collaboration and sharing options.
Session 13: Advanced DAX Functions
Advanced DAX calculations
Time intelligence functions
DAX optimization techniques
Scenario analysis with DAX
Session 14: AI & Machine Learning
Power BI AI capabilities
Creating and using AI visuals
Integration with Azure Machine Learning
Predictive analytics with Power BI
Session 15: Data Insights & Storytelling
Creating impactful data narratives
Storytelling with data
Adding insights and annotations
Building a compelling data story
Session 16: Power BI Service
Introduction to Power BI Service
Publishing and sharing reports.
Collaborating with colleagues
Power BI workspaces and apps
Session 17: Power BI Mobile
Accessing reports on mobile devices
Mobile-specific features
Design considerations for mobile
Offline capabilities
Session 18: Data Refresh & Scheduling
Data refresh in Power BI Service
Scheduling data refresh
Troubleshooting data refresh issues
Performance optimization