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Maven Analytics, Chris Dutton, and Aaron Parry

Welcome to the #1 best-selling Power BI Desktop course – completely rebuilt for 2023/2024.

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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.

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, and simulate real-world tasks that data professionals encounter on the job:

STAGE 1: Connecting & Shaping Data

In this stage we’ll focus on building automated workflows to extract, 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

  • 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 powerful artificial Intelligence tools like decomposition trees, key influencers, smart narratives and natural language Q&A, along with 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.

Enroll now

What's inside

Learning objectives

  • Build professional-quality business intelligence reports from the ground up
  • Blend and transform raw data into beautiful interactive dashboards
  • Design and implement the same tools used by professional 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 visualization techniques
  • Learn from a #1 best-selling instructor and professional power bi developer

Syllabus

Getting Started
READ ME: Important Notes for New Students
Course Introduction
Meet Maven Analytics
Read more
Course Structure & Outline
DOWNLOAD: Course Resources
Introducing the Course Project
Setting Expectations
Introducing Microsoft Power BI Desktop
Section Introduction
Meet Power BI Desktop
Downloading Power BI
IMPORTANT: Adjusting Settings
Power BI Desktop Interface & Workflow
Resources & Monthly Updates
QUIZ: Introducing Power BI Desktop
Connecting & Shaping Data
Power BI Front-End vs. Back-End
Types of Data Connectors
The Power Query Editor
Basic Table Transformations
ASSIGNMENT: Table Transformations
SOLUTION: Table Transformations
PRO TIP: Storage & Connection Modes
Connecting to a Database
Extracting Data from the Web
Data QA & Profiling Tools
Text Tools
ASSIGNMENT: Text-Specific Tools
SOLUTION: Text-Specific Tools
Numerical Tools
ASSIGNMENT: Numerical Tools
SOLUTION: Numerical Tools
Date & Time Tools
Change Type with Locale
PRO TIP: Rolling Calendars
ASSIGNMENT: Calendar Tables
SOLUTION: Calendar Tables
Index & Conditional Columns
Calculated Column Best Practices
Grouping & Aggregating
Pivoting & Unpivoting
Merging Queries
Appending Queries
PRO TIP: Appending Files from a Folder
Data Source Settings
PRO TIP: Data Source Parameters
Refreshing Queries
PRO TIP: Importing Excel Models
Power Query Best Practices
QUIZ: Connecting & Shaping Data
Creating a Data Model
Data Modeling 101
Database Normalization
Fact & Dimension Tables
Primary & Foreign Keys
Relationships vs. Merged Tables
Creating Table Relationships
Managing & Editing Relationships
Star & Snowflake Schemas
ASSIGNMENT: Table Relationships
SOLUTION: Table Relationships
PRO TIP: Active & Inactive Relationships
Relationship Cardinality
Connecting Multiple Fact Tables
Filter Context & Filter Flow
Bi-Directional Filters & Ambiguity
Hiding Fields from Report View
ASSIGNMENT: Filter Flow
SOLUTION: Filter Flow
PRO TIP: Model Layouts
Data Formats & Categories
Creating Hierarchies
ASSIGNMENT: Hierarchies
SOLUTION: Hierarchies
Data Model Best Practices
QUIZ: Creating a Data Model
Calculated Fields with DAX
Data Analysis Expressions 101
DAX vs. M Languages
Intro to DAX Calculated Columns
Intro to DAX Measures
Implicit vs. Explicit Measures
Quick Measures
RECAP: Calculated Columns vs. Measures
PRO TIP: Dedicated Measure Tables
Understanding Filter Context
Step-by-Step DAX Measure Calculation
DAX Syntax & Operators
Common DAX Function Categories
Basic Math & Stats Functions
Counting Functions
ASSIGNMENT: Math & Stats Functions
SOLUTION: Math & Stats Functions
Conditional & Logical Functions
The SWITCH Function
ASSIGNMENT: Logical Functions

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Helps learners who want to become analysts or data professionals transition from zero to expert in business intelligence
Explores skills, knowledge, and tools which form the core of data analysis and business intelligence
Through three stages (connecting & shaping data, creating a relational data model, and adding calculated fields with DAX), this course is an excellent foundation for an analyst looking to use Power BI
Taught by instructors from and backed by Maven Analytics who are recognized internationally for their Power BI expertise
Develops foundational skills in Power BI Desktop, simulating real-world business intelligence tasks
Helps learners build professional-quality business intelligence reports and dashboards

Save this course

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Microsoft Power BI Desktop for Business Intelligence with these activities:
Explore Power BI Community Forum
Join the Power BI Community Forum to connect with other users, ask questions, and learn from experts.
Show steps
  • Visit the Power BI Community Forum website
  • Search for topics related to your interests or challenges
  • Post questions or participate in discussions
Watch Microsoft Learn Videos
Access free video tutorials from Microsoft Learn to enhance your Power BI skills.
Show steps
  • Visit the Microsoft Learn website
  • Search for Power BI courses or modules
  • Watch videos and complete interactive exercises
Attend a Power BI User Group Meeting
Attend Power BI User Group meetings to network with other users, learn from experts, and stay updated on the latest trends.
Show steps
  • Find a Power BI User Group near you
  • Register for an upcoming meeting
  • Attend the meeting and participate in discussions
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Creating Calculated Columns
Creating calculated columns is a fundamental skill in Power BI. Practice regularly to improve your proficiency.
Browse courses on Calculated Columns
Show steps
  • Open Power BI Desktop and load a dataset
  • Create a new calculated column using a simple formula, such as adding two existing columns
  • Create a calculated column using a more complex formula, such as calculating a percentage or applying a conditional statement
  • Test your calculated columns by creating visuals and filtering the data
Practice Building Relationships
Building relationships is crucial for creating a robust data model. Practice regularly to develop your skills in identifying and establishing relationships.
Browse courses on Data Modeling
Show steps
  • Open Power BI Desktop and load a dataset with multiple tables
  • Identify the relationships between the tables based on common fields
  • Create relationships between the tables using the appropriate cardinality (one-to-many, many-to-one, or many-to-many)
  • Test your relationships by creating visuals and filtering the data
  • Troubleshoot any relationship errors and adjust the model accordingly
Practice Creating Measures
Creating measures allows you to summarize and analyze your data effectively. Practice regularly to improve your proficiency in writing DAX expressions.
Browse courses on Calculated Measures
Show steps
  • Open Power BI Desktop and load a dataset
  • Create a simple measure using a SUM or AVERAGE function
  • Create a more complex measure using multiple functions and filters
  • Create a measure that uses a calculated column as an input
  • Test your measures by creating visuals and filtering the data
Connect with a Power BI Expert
Find a mentor who can provide guidance, support, and advice on your Power BI journey.
Show steps
  • Attend industry events or join online communities
  • Reach out to Power BI professionals on LinkedIn or other social media platforms
  • Explain your goals and ask for mentorship
Build a Personal Power BI Portfolio
Create a portfolio of Power BI projects to showcase your skills and enhance your employability.
Show steps
  • Identify a business problem or opportunity that you can solve with Power BI
  • Gather and clean the necessary data
  • Build a Power BI report or dashboard to visualize and analyze the data
  • Document your project and share it with others
  • Repeat the process to build a portfolio of projects

Career center

Learners who complete Microsoft Power BI Desktop for Business Intelligence will develop knowledge and skills that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialists are responsible for creating visual representations of data, such as charts, graphs, and dashboards. They often use data visualization tools, such as Power BI Desktop, to create interactive visualizations that can be used to communicate insights from data. This course can provide a strong foundation for those who want to pursue a career as a Data Visualization Specialist. The course covers the full data visualization workflow, from data preparation and modeling to data visualization and reporting.
Business Intelligence Analyst
Business Intelligence Analysts are responsible for analyzing data, identifying trends, and developing insights that can help businesses make better decisions. They often use data visualization tools, such as Power BI Desktop, to create interactive dashboards and reports that can be easily understood by business stakeholders. This course can provide a strong foundation for those who want to pursue a career as a Business Intelligence Analyst. The course covers the full business intelligence workflow, from data preparation and modeling to data visualization and reporting.
Report Developer
Report Developers are responsible for designing, developing, and maintaining reports. They often use data visualization tools, such as Power BI Desktop, to create interactive reports that can be used to communicate insights from data. This course can provide a strong foundation for those who want to pursue a career as a Report Developer. The course covers the full report development workflow, from report design and development to report testing and deployment.
Business Analyst
Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. They often use data visualization tools, such as Power BI Desktop, to create dashboards and reports that can be used to track key performance indicators (KPIs) and identify trends. This course can provide a strong foundation for those who want to pursue a career as a Business Analyst. The course covers the full business analysis workflow, from data collection and analysis to data visualization and reporting.
Data Architect
Data Architects are responsible for designing and managing data architectures. They often use data visualization tools, such as Power BI Desktop, to create dashboards and reports that can be used to monitor data quality and identify data integration issues. This course can provide a strong foundation for those who want to pursue a career as a Data Architect. The course covers the full data architecture workflow, from data modeling and design to data integration and management.
Data Scientist
Data Scientists use a variety of tools and techniques to extract insights from data, including Microsoft Power BI Desktop. They often work on projects that require blending and transforming data from multiple sources, developing data models, and creating interactive visualizations. This course can help Data Scientists build a strong foundation in data analytics, data modeling, and data visualization. The course also covers advanced topics such as artificial intelligence and machine learning.
Marketing Analyst
Marketing Analysts are responsible for analyzing marketing data and making recommendations on marketing campaigns. They often use data visualization tools, such as Power BI Desktop, to create dashboards and reports that can be used to track marketing performance and identify trends. This course can provide a strong foundation for those who want to pursue a career as a Marketing Analyst. The course covers the full marketing analysis workflow, from data collection and analysis to data visualization and reporting.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They often use data visualization tools, such as Power BI Desktop, to create dashboards and reports that can be used to monitor database performance and identify potential issues. This course can provide a strong foundation for those who want to pursue a career as a Database Administrator. The course covers the full database administration workflow, from database design and implementation to database maintenance and optimization.
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making recommendations on investment opportunities. They often use data visualization tools, such as Power BI Desktop, to create dashboards and reports that can be used to track financial performance and identify trends. This course can provide a strong foundation for those who want to pursue a career as a Financial Analyst. The course covers the full financial analysis workflow, from data collection and analysis to data visualization and reporting.
Operations Analyst
Operations Analysts are responsible for analyzing operational data and making recommendations on process improvements. They often use data visualization tools, such as Power BI Desktop, to create dashboards and reports that can be used to track operational performance and identify trends. This course can provide a strong foundation for those who want to pursue a career as an Operations Analyst. The course covers the full operations analysis workflow, from data collection and analysis to data visualization and reporting.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines that can process and transform large volumes of data. They often use data visualization tools, such as Power BI Desktop, to create dashboards and reports that can be used to monitor the health of data pipelines and identify potential issues. This course can provide a strong foundation for those who want to pursue a career as a Data Engineer. The course covers the full data engineering workflow, from data extraction and transformation to data modeling and visualization.
Project Manager
Project Managers are responsible for planning, executing, and monitoring projects. They often use data visualization tools, such as Power BI Desktop, to create dashboards and reports that can be used to track project progress and identify risks. This course can provide a strong foundation for those who want to pursue a career as a Project Manager. The course covers the full project management workflow, from project planning and execution to project monitoring and reporting.
IT Analyst
IT Analysts are responsible for analyzing and resolving IT issues. They often use data visualization tools, such as Power BI Desktop, to create dashboards and reports that can be used to track IT performance and identify trends. This course can provide a strong foundation for those who want to pursue a career as an IT Analyst. The course covers the full IT analysis workflow, from data collection and analysis to data visualization and reporting.
Software Developer
Software Developers are responsible for designing, developing, and maintaining software applications. They often use data visualization tools, such as Power BI Desktop, to create dashboards and reports that can be used to track software development progress and identify bugs. This course can provide a strong foundation for those who want to pursue a career as a Software Developer. The course covers the full software development workflow, from software design and development to software testing and deployment.
Data Analyst
Data Analysts use a wide range of tools, including Microsoft Power BI Desktop, to help transform raw data into visual reports and interactive dashboards for businesses and organizations. It is a key role in the development of business intelligence solutions. This course may be useful for those who want to learn the fundamentals of data analytics, including data blending, transformation, and visualization using Power BI Desktop. The course also covers data modeling techniques and advanced visualization techniques.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Microsoft Power BI Desktop for Business Intelligence.
Guide to mastering Power BI. It covers all the essential features of the software, from data modeling to creating visualizations. It great resource for experienced Power BI users who want to learn how to use the software more effectively.
Guide to using Power BI for data science. It covers the basics of data science, from data preparation to model building. It great resource for data scientists who want to learn how to use Power BI for their work.
Guide to using Power BI for business intelligence. It covers the basics of business intelligence, from data analysis to reporting. It great resource for business analysts who want to learn how to use Power BI for their work.
Collection of recipes that show you how to solve common problems in Power BI. It great resource for both beginners and experienced Power BI users who want to learn how to use the software more effectively.
Guide to creating effective data visualizations with Power BI. It covers the basics of data visualization, from choosing the right chart type to using color and typography effectively. It great resource for both beginners and experienced Power BI users who want to learn how to create more effective visualizations.
Gentle introduction to Power BI. It covers the basics of the software, from data modeling to creating visualizations. It great resource for beginners who want to learn how to use Power BI.
Quick start guide to Power BI. It covers the basics of the software, from data modeling to creating visualizations. It great resource for beginners who want to learn how to use Power BI quickly and easily.

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