Table of Contents
- Introduction to Power BI
- What is Power BI?
- Why Learn Power BI?
- Components of Power BI
- Installing and Setting Up Power BI
- Getting Started with Power BI Desktop
- Navigating the Power BI Interface
- Importing and Connecting to Data
- Understanding Data Sources
- Introduction to Power Query
- Data Preparation and Modeling
- Cleaning and Transforming Data
- Creating Relationships Between Tables
- Understanding Data Types and Formatting
- Writing DAX (Data Analysis Expressions) Basics
- Creating Visualizations
- Introduction to Visualization Types
- Building Interactive Dashboards
- Using Filters, Slicers, and Drillthroughs
- Designing Effective Reports
- Advanced-Data Modeling and DAX
- Advanced DAX Functions
- Time Intelligence in DAX
- Creating Calculated Columns and Measures
- Optimizing Data Models for Performance
- Power BI Service
- Publishing Reports to Power BI Service
- Collaborating with Teams
- Configuring Row-Level Security (RLS)
- Understanding Data Refresh and Gateways
- Advanced Reporting Techniques
- Customizing Visuals with Power BI Themes
- Embedding Reports in Other Applications
- Power BI Paginated Reports
- Using Bookmarks and Selections for Navigation
- Integrations and Extensibility
- Connecting Power BI with Excel
- Using Power BI with Azure Services
- Embedding Power BI in Websites and Applications
- Exploring Power BI APIs
- Power BI Administration and Governance
- Managing Power BI Workspaces
- Understanding Licensing and Pricing
- Enforcing Data Governance
- Monitoring Power BI Usage and Performance
- Real-World Use Cases
- Power BI for Sales and Marketing
- Power BI in Financial Analysis
- Supply Chain Analytics with Power BI
- Building KPI Dashboards
- Tips, Tricks, and Best Practices
- Performance Optimization Techniques
- Designing User-Friendly Dashboards
- Avoiding Common Pitfalls
- Staying Updated with Power BI Features
- Conclusion and Next Steps
- Recap of Key Concepts
- Resources for Continuous Learning
- Power BI Certification Pathways
- Future Trends in Data Analytics
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