Become a Power BI Data Analyst

Build Interactive Dashboards from Excel Data with Power BI

Victor Espinoza

• Publisher: Chiify
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9798259604728
• Subtopic: Certification Guides in Computer Science
• Index: Computer Science

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.

Table of contents

• Become a Power BI Data Analyst
• Become a Power BI Data Analyst
• Preface
• Chapter 1 — Why Excel Alone Isn’t Enough: The Case for Power BI
• Chapter 2 — Preparing Your Excel Data for BI
• Chapter 3 — Power BI Desktop: Installation and First Look
• Chapter 4 — Connecting to Excel and Other Common Sources
• Chapter 5 — Power Query: Cleaning and Shaping Data
• Chapter 6 — Data Modeling Fundamentals: Tables and Relationships
• Chapter 7 — Introduction to DAX: Calculated Columns and Simple Measures
• Chapter 8 — DAX in Practice: Time Intelligence and Filters
• Chapter 9 — Advanced DAX: Conditional Measures and Semi-Additive Calculations
• Chapter 10 — Visual Design Principles for Business Dashboards
• Chapter 11 — Building Core Dashboard Visuals: Tables, Matrices, and Charts
• Chapter 12 — Interactivity: Slicers, Filters, and Drill‑Through Pages
• Chapter 13 — Mapping Sales Geographically: Map Visuals and Geocoding
• Chapter 14 — Publishing to the Power BI Service and Sharing Reports
• Chapter 15 — Scheduled Refresh and Data Gateway
• Chapter 16 — Collaboration: Workspaces, Apps, and Comments
• Chapter 17 — Automating and Extending: Power Automate and Paginated Reports
• Chapter 18 — Final Project: Completing the Sales Analytics Dashboard
• About the Author