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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