Most Power BI tutorials show you how to click a chart into existence. This course goes deeper: real Power Query cleanup, real data modeling, DAX from your first SUM() to CALCULATE() and filter context, then publishing it like a working analyst.
Every DAX measure in this course is live and clickable — not a screenshot.
Plenty of courses show you Power BI's buttons. Fewer show you why a report breaks, and how to fix it.
Power Query cleanup on genuinely messy data — inconsistent casing, currency symbols, missing values — the stuff real exports actually look like.
Not just "here's a formula to copy" — you'll understand filter context well enough to debug a measure that's returning the wrong number.
Most courses stop at Desktop. This one ends with a published, scheduled-refresh, shared App — the part that actually matters at work.
Every module: plain-English concepts, worked examples, a hands-on interactive dashboard, a capstone project, and an auto-graded recap quiz.
Applied Steps, common transforms, and query folding — cleaning data before you build on it.
Star schema, cardinality, and cross-filter direction — the model every measure depends on.
Measures vs Calculated Columns, SUM vs SUMX, and row vs filter context.
CALCULATE, ALL(), and VAR/RETURN — taking control of filter context on purpose.
Choosing the right visual, slicers, bookmarks, and layout that reads like a headline, not a spreadsheet.
Workspaces, Apps, scheduled refresh, gateways, and Row-Level Security.
Carry one dataset through all six stages — clean it, model it, measure it, visualize it, and publish it — into a report a colleague could open and understand without you in the room.
Power Query ETL and data modeling — the unglamorous work that makes everything after it easy.
From your first SUM() to CALCULATE() and filter context.
Design a report worth looking at, then publish, refresh, and share it for real.
A focused, single-tool deep dive — priced below what a top-rated single Power BI course typically lists for, with none of the recurring subscription cost.
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| Platform | Model | Typical cost | Scope |
|---|---|---|---|
| PivotPoint — Power BI Mastery | One-time payment | $129 once | Power BI only, 6 modules deep |
| Top-rated Power BI course (Udemy) | One-time purchase | ~$174.99 list price | Power BI only |
| LinkedIn Learning | Monthly / annual subscription | ~$240/yr | Power BI plus the entire library |
| DataCamp Premium | Monthly / annual subscription | ~$336/yr | Power BI plus 790+ other courses |
| Instructor-led (e.g. CCS Learning) | Per-cohort, live | ~$1,995 for a 3-day class | Power BI only |
Competitor figures are publicly published list prices as of 2026, shown for context — not a claim about any platform's current offer (Udemy list prices in particular are frequently discounted). Confirm current pricing on each provider's own site before comparing.
Already own the 3-month Data Analyst Course? Its Power BI module covers the basics — this course goes six modules deep on Power BI alone.
Want this course plus the Data Analyst Course and Python for Data Analysis? Get all three for $250 →
No. Module 1 starts with what Power Query actually does and builds from there. If you've never opened Power BI, you can start today.
No — this course stands alone. If you've taken the Data Analyst Course, you'll recognise the dataset and the Power BI basics move faster; everything else here is new and goes much deeper.
Designed around three months at a relaxed pace of a few hours a week, but it's fully self-paced — go faster or slower.
You'll want Power BI Desktop (free, Windows-only) for Modules 1-5. Module 6 uses the browser-based Power BI Service, which works on any OS.
No — it's a skills-and-portfolio course. What you walk away with is seven real capstone projects you can show, not a line on a certificate.