Power BI for Data Analytics
June 11, 2025 at 01:33 PM
📊 *Power BI Roadmap: From Basics to Advanced* 🚀
🟢 *Beginner Level*
*1. Power BI Overview*
- What is Power BI?
- Components: Desktop, Service, Mobile
- Installing Power BI Desktop
*2. Data Loading*
- Import from Excel, CSV, SQL, Web
- Basic data types and preview
- Data source settings
*3. Data Transformation (Power Query)*
- Clean & shape data
- Remove columns/rows
- Merge/Append queries
- Use Applied Steps
*4. Basic Visualizations*
- Bar, Line, Pie, Cards
- Filters & Slicers
- Sorting & Formatting
🟡 *Intermediate Level*
*5. Data Modeling*
- Relationships (1:1, 1:Many)
- Star & Snowflake Schemas
- Normalization vs. Denormalization
*6. DAX Basics*
- Calculated Columns vs Measures
- Common functions: SUM, COUNT, IF, SWITCH
- Time Intelligence (YTD, MTD, Previous Year)
*7. Interactivity*
- Bookmarks & Buttons
- Drillthrough & Tooltips
- Sync Slicers
*8. Publishing & Sharing*
- Publish to Power BI Service
- Workspace & Dashboard basics
- Sharing reports with others
🔵 *Advanced Level*
*9. Advanced DAX*
- Variables (VAR)
- Filter functions: CALCULATE, FILTER
- ALL, ALLEXCEPT, RELATED
*10. Advanced Visuals*
- Custom Visuals
- KPI, Gauge, TreeMap, Waterfall
- Decomposition Tree
*11. Row-Level Security (RLS)*
- Static & Dynamic RLS setup
- Testing roles
*12. Power BI Service Deep Dive*
- Dataflows
- Scheduled Refresh
- Usage Metrics
*13. Integration & Embedding*
- Power Apps & Power Automate
- Embed Power BI into web apps
*14. Performance Optimization*
- Query reduction
- DAX performance tips
- Using Performance Analyzer
🔥 *Pro Tip:* Practice with real-world datasets (sales, HR, finance) and build a dashboard portfolio.
*React ❤️ for detailed explanation!*
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