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Description

Welcome to the
#1 best-selling Power BI Desktop course
– completely rebuilt for 2023/2024!
If you’re a data professional or aspiring analyst looking to learn the top business intelligence platform on the market, you’ve come to the right place. With more than
100,000 perfect 5-star reviews
from students around the world, this is the course you’ve been looking for.
Throughout the course, you’ll learn from top instructors on the Maven Analytics team and put your skills to the test with
hands-on projects
and
unique, real-world assignments
.
THE COURSE PROJECT:
You’ll play the role of Business Intelligence Analyst for
AdventureWorks Cycles
, a fictional manufacturing company. Your role is to transform raw data into professional-quality reports and dashboards to track KPIs, compare regional performance, analyze product-level trends, and identify high-value customers.
But don’t worry, we’ll be here to guide you along every step of the way, with intuitive, crystal clear explanations and helpful pro tips to take you from zero to expert – guaranteed.
This course is designed to follow the
key stages of the business intelligence workflow
(data prep, data modeling, exploratory data analysis, data visualization & dashboard design) and simulate real-world tasks that data professionals encounter every day on the job:
STAGE 1
:
Connecting & Shaping Data
In this stage we’ll focus on building automated workflows to extract, clean, transform, and load our project data using Power Query, and explore common data connectors, storage modes, profiling tools, table transformations, and more:
Data connectors
Storage & import modes
Query editing tools
Table transformations
Connecting to a database
Extracting data from the web
QA & Profiling tools
Text, numerical, date & time tools
Rolling calendars
Index & conditional columns
Grouping & aggregating
Pivoting & unpivoting
Merging & appending queries
Data source parameters
Importing Excel models
STAGE 2
:
Creating a Relational Data Model
In stage 2 we’ll review data modeling best practices, introduce topics like cardinality, normalization, filter flow and star schemas, and begin to build our AdventureWorks data model from the ground up:
Database normalization
Fact & dimension tables
Primary & foreign keys
Star & snowflake schemas
Active & inactive relationships
Relationship cardinality
Filter context & flow
Bi-directional filters
Model layouts
Data formats & categories
Hierarchies
STAGE 3
:
Adding Calculated Fields with DAX
In stage 3 we’ll introduce data analysis expressions (DAX). We’ll create calculated columns and measures, explore topics like row and filter context, and practice applying powerful tools like filter functions, iterators, and time intelligence patterns:
DAX vs. M
Calculated columns & measures
Implicit, explicit & quick measures
Measure calculation steps
DAX syntax & operators
Math & stats functions
Conditional & logical functions
The SWITCH function
Text functions
Date & time functions
The RELATED function
CALCULATE, FILTER & ALL
Iterator (X) functions
Time intelligence patterns
STAGE 4
:
Visualizing Data with Reports
Stage 4 is about bringing our data to LIFE with reports and dashboards. We’ll review data viz best practices, building and format basic charts, and add interactivity with bookmarks, slicer panels, parameters, tooltips, report navigation, and more:
Data viz best practices
Dashboard design framework
Cards & KPIs
Line charts, trend lines & forecasts
On-object formatting
Table & matrix visuals
Conditional formatting
Top N filtering
Map visuals
Drill up, drill down & drillthrough
Report slicers & interactions
Bookmarks & page navigation
Numeric & fields parameters
Custom tooltips
Importing custom visuals
Managing & viewing roles (RLS)
Mobile layouts
Publishing to Power BI Service
We’ll also introduce
brand new features
as they are released, powerful
artificial Intelligence tools
like decomposition trees, key influencers, smart narratives and natural language Q&A, and
performance optimization techniques
to keep your reports running smoothly at scale.
Ready to get started? Join today and get
immediate, lifetime access
to:
15+ hours of high-quality video
200+ page Power BI ebook
25 homework assignments & solutions
Downloadable course project files
Expert Q&A support forum
30-day money-back guarantee
If you’re looking for the ONE course to help you build job-ready Power BI skills, you’ve come to the right place.
Happy learning!
-Chris & Aaron (
Maven Analytics
)
See why this is one of the TOP-RATED Power BI courses in the world:
“I believe this is the best Power BI course out there. I spent £1400 to attend a 3-day Power BI crash course, and have to confess it’s nothing compared to the knowledge, skills, expertise and understanding derived from this course. I am forever grateful to Chris and the Maven Analytics team for doing such amazing work and to Udemy for making this available.”
-Isaac Mensah
"Resources are awesome. Presenter is brilliant. I found this course more useful than the official Power BI course from Microsoft. Things are easy to follow, and presentations are high quality."
-Jacobus M.
"Chris is a skilled communicator and does a great job of explaining a complex tool like Microsoft Power BI. His 'pro-tips' are great for new user productivity and gaining a sense of the big picture, and I value his best practices on building and managing Power BI queries and reports. I'm feeling much more confident to dig in and use Power BI on my own projects!"
-Bill Jerrow
“Simply put, this course is AMAZING! The instructor literally takes you step-by-step from knowing nothing about Power BI into nearly an expert! I have had experience working with Power BI even in a corporate setting in the past, and I was still blown away by the level of granularity Chris was able to casually explain in a way that made sense. The hands-on exercises are THE perfect way to reinforce the concepts you learn throughout the course and connect theory to application. Can't speak enough to how great this course is, I will definitely be coming back to it as a reference guide in my work and would recommend it to anyone looking to learn Power BI!”
-Ikenna Egbosimba
“I've been in university classrooms for much of my life and Chris is a university level instructor.”
-Allan Searl
Looking for the full business intelligence stack?
Search for
"
Maven Analytics
"
to browse our full course library, including
Excel, Power BI, MySQL
,
Tableau
,
Alteryx
&
Python
!
Who this course is for:
Anyone looking for a hands-on, project-based introduction to Microsoft Power BI Desktop
Data analysts and Excel users hoping to develop advanced data modeling, dashboard design, and business intelligence skills
Aspiring data professionals looking to master the #1 business intelligence tool on the market
Students who want a comprehensive, engaging, and highly interactive approach to training
Anyone looking to pursue a career in data analysis, analytics or business intelligence

What you'll learn

Build professional-quality business intelligence reports from the ground up

Blend and transform raw data into beautiful interactive visuals & dashboards

Design and implement the same tools used by professional data analysts and data scientists

Showcase your skills with two full-scale course projects (with step-by-step solutions)

Explore powerful artificial intelligence tools and advanced data analysis & visualization techniques

Learn from a #1 best-selling instructor and professional Power BI developer

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Getting Started
7
1.1-READ ME: Important Notes for New Students
1.2-Course Introduction
1.3-Meet Maven Analytics
1.4-Course Structure & Outline
1.5-DOWNLOAD: Course Resources
1.6-Introducing the Course Project
1.7-Setting Expectations
2-Introducing Microsoft Power BI Desktop
7
2.1-Section Introduction
2.2-Meet Power BI Desktop
2.3-Downloading Power BI
2.4-IMPORTANT: Adjusting Settings
2.5-Power BI Desktop Interface & Workflow
2.6-Resources & Monthly Updates
2.7-QUIZ: Introducing Power BI Desktop
3-Connecting & Shaping Data
35
3.1-Section Introduction
3.2-Power BI Front-End vs. Back-End
3.3-Types of Data Connectors
3.4-The Power Query Editor
3.5-Basic Table Transformations
3.6-ASSIGNMENT: Table Transformations
3.7-SOLUTION: Table Transformations
3.8-PRO TIP: Storage & Connection Modes
3.9-Connecting to a Database
3.10-Extracting Data from the Web
3.11-Data QA & Profiling Tools
3.12-Text Tools
3.13-ASSIGNMENT: Text-Specific Tools
3.14-SOLUTION: Text-Specific Tools
3.15-Numerical Tools
3.16-ASSIGNMENT: Numerical Tools
3.17-SOLUTION: Numerical Tools
3.18-Date & Time Tools
3.19-Change Type with Locale
3.20-PRO TIP: Rolling Calendars
3.21-ASSIGNMENT: Calendar Tables
3.22-SOLUTION: Calendar Tables
3.23-Index & Conditional Columns
3.24-Calculated Column Best Practices
3.25-Grouping & Aggregating
3.26-Pivoting & Unpivoting
3.27-Merging Queries
3.28-Appending Queries
3.29-PRO TIP: Appending Files from a Folder
3.30-Data Source Settings
3.31-PRO TIP: Data Source Parameters
3.32-Refreshing Queries
3.33-PRO TIP: Importing Excel Models
3.34-Power Query Best Practices
3.35-QUIZ: Connecting & Shaping Data
4-Creating a Data Model
26
4.1-Section Introduction
4.2-Data Modeling 101
4.3-Database Normalization
4.4-Fact & Dimension Tables
4.5-Primary & Foreign Keys
4.6-Relationships vs. Merged Tables
4.7-Creating Table Relationships
4.8-Managing & Editing Relationships
4.9-Star & Snowflake Schemas
4.10-ASSIGNMENT: Table Relationships
4.11-SOLUTION: Table Relationships
4.12-PRO TIP: Active & Inactive Relationships
4.13-Relationship Cardinality
4.14-Connecting Multiple Fact Tables
4.15-Filter Context & Filter Flow
4.16-Bi-Directional Filters & Ambiguity
4.17-Hiding Fields from Report View
4.18-ASSIGNMENT: Filter Flow
4.19-SOLUTION: Filter Flow
4.20-PRO TIP: Model Layouts
4.21-Data Formats & Categories
4.22-Creating Hierarchies
4.23-ASSIGNMENT: Hierarchies
4.24-SOLUTION: Hierarchies
4.25-Data Model Best Practices
4.26-QUIZ: Creating a Data Model
5-Calculated Fields with DAX
44
5.1-Section Introduction
5.2-Data Analysis Expressions 101
5.3-DAX vs. M Languages
5.4-Intro to DAX Calculated Columns
5.5-Intro to DAX Measures
5.6-Implicit vs. Explicit Measures
5.7-Quick Measures
5.8-RECAP: Calculated Columns vs. Measures
5.9-PRO TIP: Dedicated Measure Tables
5.10-Understanding Filter Context
5.11-Step-by-Step DAX Measure Calculation
5.12-DAX Syntax & Operators
5.13-Common DAX Function Categories
5.14-Basic Math & Stats Functions
5.15-Counting Functions
5.16-ASSIGNMENT: Math & Stats Functions
5.17-SOLUTION: Math & Stats Functions
5.18-Conditional & Logical Functions
5.19-The SWITCH Function
5.20-ASSIGNMENT: Logical Functions
5.21-SOLUTION: Logical Functions
5.22-Common Text Functions
5.23-ASSIGNMENT: Text Functions
5.24-SOLUTION: Text Functions
5.25-Basic Date & Time Functions
5.26-ASSIGNMENT: Date & Time
5.27-SOLUTION: Date & Time
5.28-Joining Data with RELATED
5.29-The CALCULATE Function
5.30-DAX Measure Totals
5.31-ASSIGNMENT: CALCULATE
5.32-SOLUTION: CALCULATE
5.33-The ALL Function
5.34-ASSIGNMENT: CALCULATE & ALL
5.35-SOLUTION: CALCULATE & ALL
5.36-The FILTER Function
5.37-Iterator (X) Functions
5.38-ASSIGNMENT: Iterators
5.39-SOLUTION: Iterators
5.40-Time Intelligence Patterns
5.41-ASSIGNMENT: Time Intelligence
5.42-SOLUTION: Time Intelligence
5.43-DAX Best Practices
5.44-QUIZ: Calculated Fields with DAX
6-Visualizing Data with Reports
58
6.1-Section Introduction
6.2-The 3 Key Questions
6.3-Dashboard Design Framework
6.4-Sketching the Dashboard Layout
6.5-Adding Report Pages & Objects
6.6-Naming & Grouping Objects
6.7-Cards & Multi-Row Cards
6.8-ASSIGNMENT: Cards
6.9-SOLUTION: Cards
6.10-Building & Formatting Charts
6.11-Line Charts
6.12-PRO TIP: Trend Lines & Forecasts
6.13-ASSIGNMENT: Line Chart & Trend
6.14-SOLUTION: Line Chart & Trend
6.15-KPI Cards
6.16-Bar & Donut Charts
6.17-Basic Filtering Options
6.18-ASSIGNMENT: Donuts & Filters
6.19-SOLUTION: Donuts & Filters
6.20-Table & Matrix Visuals
6.21-Conditional formatting
6.22-Top N Filtering
6.23-ASSIGNMENT: Tables
6.24-SOLUTION: Tables
6.25-Top N Text Cards
6.26-ASSIGNMENT: Top N Text Cards
6.27-SOLUTION: Top N Text Cards
6.28-Map Visuals
6.29-Report Slicers
6.30-ASSIGNMENT: Slicers
6.31-SOLUTION: Slicers
6.32-PRO TIP: HASONEVALUE
6.33-Gauge Charts
6.34-PRO TIP: Advanced Conditional Formatting
6.35-Area Charts
6.36-Drill Up & Drill Down
6.37-ASSIGNMENT: Drill Up & Drill Down
6.38-SOLUTION: Drill Up & Drill Down
6.39-Drillthrough Filters
6.40-Editing Report Interactions
6.41-ASSIGNMENT: Report Interactions
6.42-SOLUTION: Report Interactions
6.43-Adding Bookmarks
6.44-ASSIGNMENT: Bookmarks
6.45-SOLUTION: Bookmarks
6.46-PRO TIP: Custom Navigation Buttons
6.47-PRO TIP: Slicer Panels
6.48-Numeric Range Parameters
6.49-Fields Parameters
6.50-ASSIGNMENT: Fields Parameters
6.51-SOLUTION: Fields Parameters
6.52-PRO TIP: Custom Tool Tips
6.53-Importing Custom Visuals
6.54-Managing & Viewing Roles
6.55-Mobile Layouts
6.56-PREVIEW: Publishing to Power BI Service
6.57-Data Visualization Best Practices
6.58-QUIZ: Visualizing Data with Reports
7-Artificial Intelligence (AI)
6
7.1-Section Introduction
7.2-Anomaly Detection
7.3-Smart Narratives
7.4-Q&A Visuals
7.5-Decomposition Trees
7.6-Key Influencers
8-Power BI Optimization Tools
7
8.1-Section Introduction
8.2-The Optimize Ribbon
8.3-Pausing Visuals
8.4-Optimization Presets
8.5-Applying All Slicers
8.6-Performance Analyzer
8.7-External Tools
9-New Power BI Features & Updates
6
9.1-About this Section
9.2-Calculation Groups (October 2023)
9.3-New Card Visual (June/November 2023)
9.4-DAX Query View (November 2023)
9.5-Button Slicer (November 2023)
9.6-Visual Calculations (February 2024)
10-BONUS PROJECT: Maven Market
5
10.1-Introduction
10.2-PART 1: Connecting & Shaping the Data
10.3-PART 2: Creating the Data Model
10.4-PART 3: Adding DAX Measures
10.5-PART 4: Building the Report
11-BONUS LESSON
1
11.1-BONUS LESSON