Power BI Mastery Path¶
Power BI is Microsoft's business-intelligence platform: a desktop authoring tool where you shape data and build a model, a cloud service where that model is published, refreshed, secured and shared, and a mobile app for reading the results. Most people meet it as "the tool that makes dashboards," but the dashboards are the easy part. The work that decides whether a report is right, fast, and trusted happens underneath — in the Power Query steps that clean the data, the star schema that organizes it, and the DAX measures that compute every number on the page.
This course is built around that idea. Level 1 gets you from a CSV file to a published
dashboard, but it spends as much time on data types and the measure-versus-column
distinction as on charts. Level 2 is modeling: fact and dimension tables, relationships
and filter direction, CALCULATE, filter context and row context, a proper date table,
merges and parameters in M, drill-through, and row-level security. Level 3 goes deep on
DAX evaluation (iterators, context transition, ALL/REMOVEFILTERS/KEEPFILTERS),
the VertiPaq engine and performance, storage modes, calculation groups, and field
parameters. Level 4 is the enterprise layer: architecture, Microsoft Fabric,
governance, storytelling, embedding, incremental refresh, source control with PBIP,
accessibility, and testing a semantic model.
Every lesson has a How It Actually Works section: how VertiPaq compresses a column
with dictionary and run-length encoding, how a filter on a dimension travels across a
one-to-many relationship, why CALCULATE inside a row context turns the current row
into a filter, how Power Query decides whether a step can "fold" back into SQL.
About the software and the examples
Power BI Desktop runs only on Windows; the Power BI service runs in any modern browser. Microsoft ships Desktop updates roughly monthly, and menu names, ribbon layouts and pane labels move around between releases — so menu paths in these lessons describe where things live at the time of writing, and you may need to look one tab over. The lessons do not include screenshots, and they never claim an output that was not computed. Instead, DAX and M examples come with a small sample table defined in the lesson and the expected result worked out by hand, so you can check both your understanding and your model against it. Licensing tiers are described in general terms only; check Microsoft's current pricing pages for specifics.
How the program is organized¶
| Level | Focus | Modules |
|---|---|---|
| Level 1 · Entry | Desktop vs service, getting data, Power Query, data types, visuals, filters & slicers, measures vs columns, formatting, publishing | 9 topics + 1 project (sales dashboard from CSV) |
| Level 2 · Intermediate | Star schema, relationships, DAX fundamentals, CALCULATE & contexts, time intelligence, M merges & parameters, drill-through, RLS, refresh | 9 topics + 1 project (multi-table sales model) |
| Level 3 · Advanced | Iterators & variables, context transition, filter modifiers, VertiPaq performance, storage modes, calculation groups, field parameters, visuals, deployment pipelines | 9 topics + 1 project (optimized finance model) |
| Level 4 · Master | Architecture, Fabric, governance, storytelling, embedding, incremental refresh, PBIP & Git, accessibility, model testing | 9 topics + 1 capstone (enterprise sales analytics) |
How to use this site¶
- Work through the levels in order. Level 2's DAX makes little sense without the measure-versus-column lesson in Level 1, and Level 3 explains why the Level 2 formulas behave as they do.
- Build along. Each lesson defines its sample data inline — usually a few rows you can paste into Power BI Desktop with Home → Enter data or save as a CSV. Type the measures yourself and compare your result with the hand-computed answer in the lesson.
- If you are on a Mac or Linux, you can still follow the modeling and DAX reasoning, use the Power BI service in a browser for the publishing lessons, or run Desktop in a Windows virtual machine.
- Do the Exercise at the end of each lesson; the module-10 projects reuse them.
- Power BI rewards spreadsheet and SQL skills. If joins and
GROUP BYare unfamiliar, the SQL Mastery Path and Excel Mastery Path are good companions.
Start here → Level 1 · Entry
🎥 Prefer video? Watch the Mastery Path video series on YouTube — Shorts and full walkthroughs of lessons across the series.
More from the Mastery Path series¶
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