Power BI

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Table of Contents

  • Introduction to Power BI

    1. What is Power BI?
    2. Why Learn Power BI?
    3. Components of Power BI
    4. Installing and Setting Up Power BI
  • Getting Started with Power BI Desktop

    1. Navigating the Power BI Interface
    2. Importing and Connecting to Data
    3. Understanding Data Sources
    4. Introduction to Power Query
  • Data Preparation and Modeling

    1. Cleaning and Transforming Data
    2. Creating Relationships Between Tables
    3. Understanding Data Types and Formatting
    4. Writing DAX (Data Analysis Expressions) Basics
  • Creating Visualizations

    1. Introduction to Visualization Types
    2. Building Interactive Dashboards
    3. Using Filters, Slicers, and Drillthroughs
    4. Designing Effective Reports
  • Advanced-Data Modeling and DAX

    1. Advanced DAX Functions
    2. Time Intelligence in DAX
    3. Creating Calculated Columns and Measures
    4. Optimizing Data Models for Performance
  • Power BI Service

    1. Publishing Reports to Power BI Service
    2. Collaborating with Teams
    3. Configuring Row-Level Security (RLS)
    4. Understanding Data Refresh and Gateways
  • Advanced Reporting Techniques

    1. Customizing Visuals with Power BI Themes
    2. Embedding Reports in Other Applications
    3. Power BI Paginated Reports
    4. Using Bookmarks and Selections for Navigation
  • Integrations and Extensibility

    1. Connecting Power BI with Excel
    2. Using Power BI with Azure Services
    3. Embedding Power BI in Websites and Applications
    4. Exploring Power BI APIs
  • Power BI Administration and Governance

    1. Managing Power BI Workspaces
    2. Understanding Licensing and Pricing
    3. Enforcing Data Governance
    4. Monitoring Power BI Usage and Performance
  • Real-World Use Cases

    1. Power BI for Sales and Marketing
    2. Power BI in Financial Analysis
    3. Supply Chain Analytics with Power BI
    4. Building KPI Dashboards
  • Tips, Tricks, and Best Practices

    1. Performance Optimization Techniques
    2. Designing User-Friendly Dashboards
    3. Avoiding Common Pitfalls
    4. Staying Updated with Power BI Features
  • Conclusion and Next Steps

    1. Recap of Key Concepts
    2. Resources for Continuous Learning
    3. Power BI Certification Pathways
    4. Future Trends in Data Analytics
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