Data & Analytics

Best Power BI Books

9books
2top picks

Editor's top Power BI books

2
Cover of The Definitive Guide to DAX
IntermediatePaid★ Top Pick

The Definitive Guide to DAX

Marco Russo, Alberto Ferrari · Microsoft Press · 1279 pages · ~32 hrs to read

The authoritative DAX reference — co-authored by the creators of SQLBI, the most respected independent Power BI resource. Covers filter context, evaluation order, time intelligence, and advanced patterns. Essential for serious Power BI practitioners.

BeginnerPaid★ Top Pick

Analyzing Data with Power BI and Power Pivot for Excel

Alberto Ferrari & Marco Russo · Microsoft Press

Written by the SQLBI founders — the same team behind The Definitive Guide to DAX — this focuses specifically on building the tabular data model correctly before writing any DAX. The clearest explanation available of star schema modeling as it applies to Power BI's engine.

Power BI Books for Beginners

3
Cover of Beginning Microsoft Power BI
BeginnerPaid

Beginning Microsoft Power BI

Dan Clark · Apress · 417 pages · ~10 hrs to read

Clear, step-by-step introduction to Power BI Desktop — covers data loading, Power Query, relationships, DAX basics, and report publishing. Good for analysts new to the Microsoft BI stack.

BeginnerPaid★ Top Pick

Analyzing Data with Power BI and Power Pivot for Excel

Alberto Ferrari & Marco Russo · Microsoft Press

Written by the SQLBI founders — the same team behind The Definitive Guide to DAX — this focuses specifically on building the tabular data model correctly before writing any DAX. The clearest explanation available of star schema modeling as it applies to Power BI's engine.

Cover of Learn Microsoft Power BI, 3rd Edition
BeginnerPaid

Learn Microsoft Power BI, 3rd Edition

Greg Deckler · Packt · 469 pages · ~12 hrs to read

A current, step-by-step beginner's guide from a 7-time Microsoft MVP, updated for the latest Power BI Desktop and Fabric integration.

Intermediate & Advanced Power BI Books

6
Cover of The Definitive Guide to DAX
IntermediatePaid★ Top Pick

The Definitive Guide to DAX

Marco Russo, Alberto Ferrari · Microsoft Press · 1279 pages · ~32 hrs to read

The authoritative DAX reference — co-authored by the creators of SQLBI, the most respected independent Power BI resource. Covers filter context, evaluation order, time intelligence, and advanced patterns. Essential for serious Power BI practitioners.

Cover of Mastering Microsoft Power BI, 2nd Edition
AdvancedPaid

Mastering Microsoft Power BI, 2nd Edition

Greg Deckler & Brett Powell · Packt · 712 pages · ~18 hrs to read

Covers the advanced end of Power BI — enterprise data modeling, DAX performance patterns, and deployment pipelines — written by two long-time Power BI MVPs. The natural next step once Beginning Power BI stops being enough.

Cover of M Is for (Data) Monkey
IntermediatePaid

M Is for (Data) Monkey

Ken Puls & Miguel Escobar0

Power BI's Power Query editor generates M code under the hood, and most analysts never learn to write or read it directly. This is the standard reference for the M language itself, unlocking transformations the click-based UI can't express.

Cover of Supercharge Power BI
IntermediatePaid

Supercharge Power BI

Matt Allington0

Written by a Microsoft Data Platform MVP, this is a gentler on-ramp into DAX than Ferrari and Russo's Definitive Guide — good for analysts who've built a few reports and need a structured push toward writing their own measures.

Cover of Microsoft Power BI Cookbook
IntermediatePaid

Microsoft Power BI Cookbook

Greg Deckler & Brett Powell · Packt · 655 pages · ~16 hrs to read

Recipe-format coverage of end-to-end BI solutions — data modeling, DAX, Microsoft Fabric integration, and scorecards — useful once you know Power BI basics and need a specific pattern solved quickly.

Cover of Extending Power BI with Python and R
AdvancedPaid

Extending Power BI with Python and R

Luca Zavarella · Packt · 559 pages · ~14 hrs to read

Covers using Python and R scripts inside Power BI for data ingestion, statistical transformations, and visualizations beyond native Power BI visuals — the right book for analysts moving into applied data science within the same tool.