Last updated: June 2026. Written by Josh Hutcheson, OnlineCourseing editor. See our review methodology.
QUICK VERDICT
Bottom line: The best Power BI course for most people is Maven Analytics’ “Microsoft Power BI Desktop for Business Intelligence” on Udemy (4.7, 768,000+ students, updated February 2026). If you want a recognised credential, take Microsoft’s own Power BI Data Analyst Professional Certificate on Coursera, which prepares you for the PL-300 exam.
- Best for: aspiring data analysts and business users who need to turn data into dashboards and reports
- Pricing: Udemy courses ~$15–20 on sale; Coursera ~$49/month (free to audit); Power BI Desktop itself is free
- Skip if: your team has standardised on Tableau or Looker — learn that tool instead
Microsoft Power BI is the most widely-used business-intelligence tool in the corporate world: it connects to almost any data source, models it, and turns it into interactive dashboards and reports that decision-makers actually use. Power BI skills are among the most in-demand in data analytics, and Microsoft’s PL-300 (Power BI Data Analyst) certification has become a genuine career credential. The good news for learners: Power BI Desktop is free to download, so a good course plus a free tool is all you need to get started.
The problem with most “best Power BI” lists is that they are full of courses last touched years ago, before the modern Power BI Service, DAX improvements, and Fabric integration. We checked every featured pick in a live browser in June 2026 — recording its rating and last-updated date — and kept only current, well-rated options, grouped by whether you want the best teaching, a credential, or hands-on depth.
The best Power BI courses in 2026, at a glance
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| Course | Best for | Rating / size | Platform |
|---|---|---|---|
| Power BI Desktop for Business Intelligence (Maven) | Best overall | 4.7 · 768,747 | Udemy |
| Microsoft Power BI Data Analyst Professional Certificate | Best credential (PL-300) | 504,939 enrolled | Coursera (Microsoft) |
| Microsoft Power BI – The Practical Guide | Best practical / complete | 4.6 · 311,184 | Udemy |
1. Power BI Desktop for Business Intelligence — Maven Analytics, Udemy (best overall)
This is the Power BI course we recommend to most people, and the numbers make the case: 4.7 stars across 192,710 ratings, 768,747 students, and updated February 2026. Maven Analytics built it around real analyst workflows — connecting and shaping data with Power Query, building a proper data model, writing DAX measures, and designing interactive reports — using genuine business datasets rather than toy examples. It is current with the modern Power BI Desktop and Service, beautifully structured, and the single best teaching on this list. If you want to actually become competent in Power BI, start here.
2. Microsoft Power BI Data Analyst Professional Certificate — Coursera (best credential)
If you want a credential employers recognise, this is the pick. Built and taught by Microsoft with 504,939 learners enrolled, this professional certificate covers the full data-analyst workflow in Power BI and is explicitly designed to prepare you for the PL-300 (Power BI Data Analyst) exam — the official Microsoft certification. It is more structured and credential-focused than a single Udemy course, and you can audit much of the material free, paying only when you want the certificate. For career-changers targeting an analyst role, this is the highest-leverage option.
View the Coursera Certificate →
3. Microsoft Power BI – The Practical Guide — Udemy (best practical / complete)
Phillip Burton’s course is the other heavyweight, with 4.6 stars across 76,193 ratings, 311,184 students, and updated January 2026. It is broad and thorough — the Query Editor, data sources, modelling, DAX, and publishing to the Power BI Service — with a methodical, exercise-driven teaching style. It is an excellent alternative to (or companion for) the Maven course, especially if you like a slower, more comprehensive walk-through. At the usual ~$15–20 sale price, it is outstanding value.
Is there a Power BI certification? (PL-300)
Yes — and unlike many tools, Power BI has a genuine, recognised one. The Microsoft Certified: Power BI Data Analyst Associate credential is earned by passing the PL-300 exam, which tests preparing data, modelling, visualising, and deploying assets in Power BI. It is a real, employer-recognised certification, which is why it is worth targeting:
- The structured path: the Coursera Microsoft Power BI Data Analyst Professional Certificate (pick #2) is built specifically to prepare you for PL-300.
- The exam: booked directly with Microsoft; expect to combine a course with hands-on practice and Microsoft’s official PL-300 study materials.
- Course completion certificates from Udemy are useful for LinkedIn but are not the same as the Microsoft PL-300 credential — do not confuse the two.
For a data-analyst career, the PL-300 is one of the most cost-effective certifications you can earn.
What a good Power BI course should cover
Power BI is deceptively deep. A course worth paying for should take you through the whole analyst workflow, not just making charts:
- Power Query (data prep): connecting to sources and cleaning/shaping data — where analysts spend most of their time.
- Data modelling: building a star schema, relationships, and a clean model that scales.
- DAX: the formula language behind every serious measure — the skill that separates beginners from professionals (more below).
- Visualisation & report design: building clear, interactive dashboards that communicate, not just decorate.
- The Power BI Service: publishing, sharing, scheduling refreshes, and row-level security for real deployments.
If a course stops at “here is how to make a bar chart” and never reaches DAX and the Service, it is an introduction, not job training. All three picks above go the full distance.
DAX: the skill that actually matters
If there is one thing that makes or breaks a Power BI analyst, it is DAX (Data Analysis Expressions) — the formula language used to create measures and calculated columns. Most beginners can drag fields onto a canvas; far fewer can write a correct time-intelligence measure or understand filter context. The courses above all teach DAX, but if you want to go deeper specifically on it, Pluralsight and dedicated DAX courses are worth a look once you have the fundamentals. Treat DAX as the thing to over-invest in — it is what interviews probe and what real reports depend on.
Power BI vs. Tableau vs. Excel
Choosing a BI tool to learn? Here is where Power BI fits:
- Power BI vs. Tableau: both are excellent. Power BI is cheaper, tightly integrated with the Microsoft stack (Excel, Azure, Fabric), and dominates corporate job listings; Tableau is loved for visual polish and is common in some industries. Power BI is the safer first choice for most.
- Power BI vs. Excel: Excel is for analysis and modelling at a smaller scale; Power BI is for repeatable, refreshable dashboards on larger or connected data. They are complementary — strong analysts know both, and Power BI even reuses Excel skills like Power Query.
If you are unsure, learn Power BI first — demand is high and the skills transfer.
Power BI and Microsoft Fabric in 2026
One freshness note worth knowing before you buy: Microsoft now positions Power BI as part of Microsoft Fabric, its unified analytics platform that brings data engineering, warehousing, and BI under one roof. For most learners this changes nothing about how you start — Power BI Desktop is still the tool, and the core skills (Power Query, modelling, DAX, reports) are unchanged. But it does mean the ecosystem is broadening, and the better, recently-updated courses now mention how Power BI fits into Fabric. When choosing, favour a course updated within the last year (all our picks are) so the Service and Fabric context is current rather than pre-2023.
Common mistakes Power BI learners make
A few predictable errors slow most beginners down — and a good course steers you around them:
- Skipping the data model: dumping everything into one flat table instead of building a proper star schema. The model is the foundation; get it wrong and DAX becomes a nightmare.
- Avoiding DAX: leaning on drag-and-drop and never learning measures and filter context — the exact skill that separates juniors from professionals.
- Over-designing dashboards: cramming in gauges and decoration instead of communicating clearly. Good BI is about the decision, not the eye candy.
- Ignoring the Service: learning Power BI Desktop but never publishing, scheduling refreshes, or setting row-level security — the parts real jobs require.
The courses above all address these directly, which is why they beat a random YouTube playlist for job preparation.
How long does it take to learn Power BI?
You can build a basic dashboard within a week or two of focused study — one course gets you there. Reaching job-ready competence, where you are comfortable with data modelling, DAX measures, and publishing secure reports to the Service, takes more like one to three months of consistent practice on real datasets. The PL-300 certificate route is paced over a few months. The fastest progress comes from rebuilding a report from your own data, not just following along.
Who should learn Power BI?
Power BI is a high-value skill for data analysts, business analysts, finance and operations professionals, and anyone who reports on data. It is also one of the best entry points into a data career because it is approachable, free to start, and in heavy demand. Pair it with SQL (to pull the data) and you have the core toolkit of a working analyst. If you are exploring analytics broadly, see our business analytics and data mining guides.
How to choose the right course
- You want the best teaching, full stop: the Maven course (pick #1).
- You want a recognised credential (PL-300): the Coursera Microsoft certificate (pick #2).
- You want a thorough, exercise-driven walk-through: Phillip Burton’s Practical Guide (pick #3).
- You want to specialise in DAX: add a dedicated DAX course after the fundamentals.
Free ways to learn Power BI
You can start completely free. Power BI Desktop is a free download, and Microsoft Learn offers a full, free PL-300 learning path that is genuinely good. YouTube has excellent free Power BI series (Maven Analytics and others publish substantial free content). Use the free tier to learn the fundamentals and decide Power BI is for you; the paid courses above earn their keep through structured projects, DAX depth, and a clear path to the PL-300 certificate.
Frequently asked questions
What is the best Power BI course? For most people, Maven Analytics’ “Power BI Desktop for Business Intelligence” on Udemy — it is the highest-rated and most-enrolled, current, and teaches the full analyst workflow. For a credential, take Microsoft’s Power BI Data Analyst certificate on Coursera.
Is Power BI hard to learn? The basics — loading data and building visuals — are approachable. The depth (data modelling and especially DAX) is where it gets challenging, which is exactly what a good course focuses on. Most learners are productive within a few weeks.
Is the PL-300 certification worth it? For a data-analyst career, yes. PL-300 is a recognised Microsoft credential, relatively affordable, and directly relevant. The Coursera certificate above is built to prepare you for it.
Do I need to know Excel or SQL first? Neither is strictly required, but both help. Excel skills (especially Power Query) transfer directly, and SQL makes you far more effective at getting data into Power BI.
Is Power BI free? Power BI Desktop is free to download and use. Sharing and collaboration via the Power BI Service requires a paid license (often provided by your employer).