How to Learn Power BI — the 12-step path

Phase 1 — Understand the tool (1–2 days) 1. What is Power BI? Microsoft's end-to-end BI platform — connect, clean, model, and visualize data in one tool. 2. Why Power BI? (and not Tableau / Excel) Cheapest, most-requested, and tightly integrated with the Microsoft data stack (Fabric, Azure, SQL). 3. What can you build with it? Sales dashboards · executive scorecards · real-time KPIs · mobile reports · embedded analytics. 🛠️ Phase 2 — Get hands-on (Week 1) 4. Install Power BI Desktop It's free. Windows-only. Download from Microsoft Learn — sign in with a work email if you can. 5. Connect to your first data source Excel, CSV, SQL Server, web URL, Google Sheets, Salesforce — Power BI connects to 100+ sources. 6. Clean and shape data in Power Query Remove blanks · fix data types · merge files · pivot/unpivot. Every transformation is recorded as a step. https://www.youtube.com/watch?v=cx1qosaiLu8&t=1086s 7. Build your first chart, table, and slicer Drag a column to the canvas — that's your first visual. Add a slicer. You just built a report. 📊 Phase 3 — Speak DAX (Week 2-3) 8. Build a star schema One fact table in the middle, dimensions around it. The brain of every Power BI report. https://www.youtube.com/watch?v=wKKxBjOJW3M&t=75s 9. Build a Date dimension Never use raw Sales[Date]. A proper Date table unlocks all time intelligence. 10. Write your first DAX measures Start with SUM, DIVIDE, CALCULATE, and time intelligence (YTD, LY, YoY). 90% of business questions are answered with these. https://www.youtube.com/playlist?list=PL_JkuH1QNmGH6cvdvrQ7O47i3AQ1q9ek2 🚀 Phase 4 — Ship it (Week 4) 11. Publish to Power BI Service Share with your team, schedule refresh, build a workspace. This is where reports come alive. 12. Polish and ship a portfolio project Pick a real dataset (Sydney transport, ABS housing, your own data). Take it end-to-end. This is what gets you hired. ✳️ Then keep going Once these 12 steps click, level up with: Microsoft Fabric · OneLake · Direct Lake Performance tuning with DAX Studio + Tabular Editor RLS, OLS, deployment pipelines for enterprise scenarios