38+ hands-on tutorials for data analysts. From your first DAX measure to advanced time intelligence patterns — clear explanations, real datasets, copy-paste code.
Hand-picked guides every analyst should read first.
DAX errors are notoriously unhelpful. This guide covers the 15 most common DAX errors — from blank results to wrong totals to circular dependencies — with exact before-and-after fixes you can copy-paste.
Every Power BI beginner makes the same mistakes. This guide covers the 10 most common errors — from data types to DAX context to dashboard design — with exact fixes you can apply today.
A good Power BI dashboard isn't just charts on a page — it's a designed experience. Learn 12 principles for building dashboards that users actually understand and act on, from layout to color to interaction design.
Slow Power BI reports frustrate users and kill adoption. Learn the systematic approach to diagnosing and fixing performance issues — from Performance Analyzer to DAX optimization to model tuning.
Follow a real-world project from raw data to finished dashboard. Learn data import, Power Query cleaning, star schema modeling, DAX measures, and visual design — all in one walkthrough.
Power Query is the ETL engine behind Power BI. Learn to connect, transform, and shape data with a no-code interface plus a peek at the M language underneath.
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Master the Data Analysis Expressions language.
Explore →ETL and data preparation in Power BI.
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Explore →Date-based calculations and YTD/MTD patterns.
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CALCULATE is the most powerful function in DAX, and the one most often misunderstood. This guide covers how filter context works, how CALCULATE modifies it, the four most common patterns every analyst needs, and the mistakes that produce silently wrong numbers.
Time intelligence is one of the most common — and most error-prone — areas of DAX. This guide covers TOTALYTD, TOTALQTD, TOTALMTD, DATEADD, and SAMEPERIODLASTYEAR, the calendar table requirements that make them work, and the five mistakes that produce wrong year-to-date numbers.
DAX variables make complex measures readable, prevent repeated calculations, and eliminate an entire class of context-transition bugs. This guide covers the syntax, scope rules, four practical patterns, and the performance gains you get from using variables correctly.
A star schema is the single most important design decision in your Power BI model. It determines query speed, DAX simplicity, and whether your report scales from 10,000 rows to 10 million. This guide covers the design principles, the star vs snowflake decision, and the five mistakes that kill model performance.
SWITCH replaces messy nested IF statements in DAX with clean, readable conditional logic. Learn the syntax, four practical patterns, and the mistakes that cause SWITCH to return blank results.
Import Mode caches data in memory for fast queries, while DirectQuery sends every visual request back to the source database. Learn when to use each, how Dual mode works, and the performance trade-offs that determine your report architecture.
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