
Become a Power BI Data Analyst
Build Interactive Dashboards from Excel Data with Power BIBy Victor EspinozaLength6h 51m
About this audiobook
Power BI data analyst, business intelligence dashboard, data modeling DAX. Transform raw business numbers into decisions stakeholders actually use with this hands-on guide. From beginner to pro, you will build real dashboards, model your data, and write DAX formulas that drive results. Victor Espinoza's practical approach skips theory and gets you working with real-world datasets from day one. You'll learn to connect multiple data sources, clean and transform data in Power Query, design star schemas, and create measures that answer complex business questions. Master visual storytelling with custom charts, slicers, and drill-through pages that make insights pop. By the end, you'll automate reports, implement row-level security, and publish to the Power BI Service for team collaboration. This book is perfect for Excel users ready to level up, business analysts seeking a competitive edge, and data professionals who want to turn messy data into clear, actionable dashboards. Unlike other Power BI books that focus on theory, this one is packed with step-by-step tutorials, downloadable practice files, and real business scenarios from marketing, sales, finance, and operations. You'll also get tips on presenting to executives, handling ad-hoc requests, and building a portfolio that lands jobs. Whether you're preparing for the PL-300 exam or just want to impress your boss, this book delivers. Competitor authors: [placeholder]
This hands-on Excel/BI guide is written to be used at the keyboard: every concept is paired with something you can run, adapt, and keep. You move from first principles to real, working results, with the common errors and fixes called out along the way so you are never stuck for long.
Audiobook details
GenreTechnology
Length6 hrs 51 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
LanguageEnglish
Table of contents
1Introduction
2Preface
3Chapter 1 — Why Excel Alone Isn’t Enough: The Case for Power BI
4Chapter 2 — Preparing Your Excel Data for BI
5Chapter 3 — Power BI Desktop: Installation and First Look
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6Chapter 4 — Connecting to Excel and Other Common Sources
7Chapter 5 — Power Query: Cleaning and Shaping Data
8Chapter 6 — Data Modeling Fundamentals: Tables and Relationships
9Chapter 7 — Introduction to DAX: Calculated Columns and Simple Measures
10Chapter 8 — DAX in Practice: Time Intelligence and Filters
11Chapter 9 — Advanced DAX: Conditional Measures and Semi-Additive Calculations
12Chapter 10 — Visual Design Principles for Business Dashboards
13Chapter 11 — Building Core Dashboard Visuals: Tables, Matrices, and Charts
14Chapter 12 — Interactivity: Slicers, Filters, and Drill‑Through Pages
15Chapter 13 — Mapping Sales Geographically: Map Visuals and Geocoding
16Chapter 14 — Publishing to the Power BI Service and Sharing Reports
17Chapter 15 — Scheduled Refresh and Data Gateway
18Chapter 16 — Collaboration: Workspaces, Apps, and Comments
19Chapter 17 — Automating and Extending: Power Automate and Paginated Reports
20Chapter 18 — Final Project: Completing the Sales Analytics Dashboard
21About the Author