About Lesson
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Introduction to Power BI
- Overview of Power BI and its components
- Power BI service vs. Power BI Desktop
- Benefits of using Power BI for data analytics
- Key features and capabilities of Power BI
- Understanding the Power BI ecosystem
- User interface and navigation
- Basic concepts and terminology in Power BI
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Installation of Power BI Desktop
- System requirements for Power BI Desktop
- Step-by-step installation guide
- Initial setup and configuration
- Updating Power BI Desktop
- Troubleshooting common installation issues
- Licensing and subscription options
- Importing sample datasets for practice
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Connecting Power BI with Other Sources
- Supported data sources in Power BI
- Connecting to databases, cloud services, and files
- Data import methods and best practices
- Managing data connections
- Data refresh and scheduling
- Handling data privacy and security
- Using Power BI gateways
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Basic Visualization in Power BI
- Types of visualizations available in Power BI
- Creating basic charts and graphs
- Customizing visualizations (colors, labels, titles)
- Using slicers and filters
- Creating and managing dashboards
- Adding interactivity to visualizations
- Publishing and sharing reports
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Advanced Visualization in Power BI
- Using advanced chart types (waterfall, funnel, gauge)
- Creating and using bookmarks
- Implementing drill-through functionality
- Using custom visuals from the marketplace
- Creating dynamic visualizations with DAX
- Advanced interactivity techniques
- Combining multiple visualizations in a single report
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Advanced DAX
- Introduction to DAX: Calculated Columns, Measures, and Tables
- Time Intelligence Functions
- Filtering Functions
- Advanced Calculations and Complex DAX Queries
- Optimizing DAX Queries for Performance
- Practical Applications of DAX in Data Models
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Introduction to Power Query
- Overview of Power Query and its interface
- Connecting to various data sources
- Understanding the M language
- Basic data import and transformation
- Using the query editor for data preparation
- Managing and combining queries
- Best practices for efficient data queries
