Tools / Spreadsheets, BI and data engineering
Power BI
Building dashboards other people use to make decisions, in Microsoft's BI tool.
About 15 hours of study. It builds on SQL.
Where to learn it
Read
Watch
Practise
Kaggle Datasets
Kaggle
Pick a dataset you care about and build a one-page report
Section not checked yet
Wrong chapter, dead link, or know something better? Tell us on GitHub.
Your route to Power BI
Pick where you’re starting from. Anything your background already covers is left out, and the rest is put in order.
2 stops to go, about 25 hours of study.
Open a stop to see the book, the video course and the practice for it. Tick its circle when you've finished.
- 10 h
Data. Ready to start.
- Tool15 h
Data. After SQL.
That's the whole route to Power BI.
Which roles ask for it
- Data analyst in the first year
- Risk analyst in the first year
- Financial analyst in the first year
- Salesforce administrator / developer good to have
- BI developer to get hired
- Analytics engineer in the first year
- Product analyst to get hired
- Business analyst to get hired
- Scrum master / delivery manager good to have
- Data scientist in the first year
What it needs and what it leads to: Power BI on the map.