Microsoft Power BI Desktop for Business Intelligence

Microsoft Power BI Desktop for Business Intelligence

A hands-on Power BI Desktop course covering data prep, modeling, DAX, and dashboard design, taught by Maven Analytics' instructors.

Power BI
Microsoft Power BI Desktop for Business Intelligence

Course Overview

This course walks you through Power BI Desktop from the first click of the installer to publishing a finished, interactive dashboard. It's built around a single running project — you play the role of a BI analyst for a fictional manufacturing company, AdventureWorks Cycles — so instead of jumping between disconnected demos, you build one connected data model and report set over the full 17 hours.

The curriculum follows the actual workflow a BI analyst uses on the job: pulling and cleaning data in Power Query, building a relational model with proper fact/dimension tables, writing DAX measures, and then designing report pages with charts, slicers, bookmarks, and drillthrough. It also folds in newer Power BI features (calculation groups, visual calculations, the DAX query view) and AI-assisted visuals like decomposition trees and key influencers, so the content isn't frozen at an older version of the tool.

What You Will Learn

  • Connect to databases, web sources, and files, and clean/transform data using Power Query
  • Build a star-schema data model with correct relationships, cardinality, and filter flow
  • Write DAX calculated columns and measures, including CALCULATE, FILTER, iterator functions, and time intelligence
  • Design report pages with cards, line/bar/donut charts, maps, and matrix visuals
  • Add interactivity through slicers, bookmarks, drillthrough filters, and custom tooltips
  • Use AI-powered visuals such as anomaly detection, smart narratives, and decomposition trees
  • Apply row-level security and optimize report performance for larger datasets

Course Structure

The course is organized into roughly a dozen sections that mirror the four stages of a BI project: Connecting & Shaping Data, Creating a Data Model, Adding DAX Measures, and Visualizing Data with Reports. Each stage ends with a short quiz, and most lessons pair a concept video with a hands-on assignment plus a recorded solution walkthrough. A separate closing block covers newer Power BI features released after the core curriculum was filmed, and a final project section ties everything together into one finished dashboard.

Who Is This Course For?

This fits data analysts, Excel power users, and anyone starting from zero who wants a structured path into business intelligence tooling rather than piecing it together from scattered tutorials. If you're already comfortable writing complex DAX and managing production data models, large parts of the early and mid sections will feel like review — you'd get more out of jumping straight to the DAX/performance-optimization material or a more advanced course.

Format & Time Commitment

It's fully self-paced with no deadlines — 17 hours of video spread across 200 lectures, plus 9 articles and 9 downloadable resources, so you can work through it in short sessions. There's no live instruction or cohort component; support comes through a Q&A forum rather than direct instructor access.

Pros and Cons

Pros

  • Single continuous project ties every concept to a realistic business scenario instead of isolated demos
  • Covers the full BI pipeline — not just visuals, but data prep, modeling, and DAX in real depth
  • Regularly updated with newer Power BI features and AI tooling additions
  • Includes graded assignments with solution videos, which is rare at this format

Cons

  • Windows-only; the course explicitly states it doesn't work for Mac users running Power BI
  • At 200 lectures and 17 hours, the sheer volume can feel slow if you only need a narrow slice (e.g., just DAX or just visuals)
  • No live interaction with instructors — if you get stuck, you're relying on the Q&A forum rather than direct feedback
  • The discounted price shown is tied to a limited-time offer, so the actual cost you pay may differ from what's listed

FAQ

Do I need Excel or Power Query experience before starting? No. The course states it's designed for beginners, though prior exposure to Excel's Power Query, Power Pivot, or DAX gives you a head start on the pacing.

Does the certificate carry professional weight? You get a certificate of completion from Udemy, which is useful for showing you finished the material but isn't an industry-recognized BI credential on its own.

Can I run this course on a Mac? Not as designed — the course is built specifically for PC/Windows users, since Power BI Desktop itself is a Windows application.

Is this better than Microsoft's own free Power BI training? It's not a direct comparison the course makes, but the structured project, assignments with solutions, and the connected curriculum are things free scattered tutorials typically don't offer.

If this matches what you're looking for, you can check the full curriculum and current pricing on Udemy before enrolling.

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