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COURSE In this hands-on, project-based course, you'll put your DAX skills to the test and apply what you learn to some of the toughest real-world business intelligence use cases.
You'll be playing the role of Business Intelligence Analyst for Maven Roasters, a small-batch coffee chain based in New York City. Your goal? Use Power BI and DAX to answer key questions and deliver data-driven insights for the business, by analyzing product inventory, repeat customers, store-level performance, and everything in between.
We'll start by quickly reviewing prerequisite topics (evaluation context, filter flow, basic measures, etc.), then dive behind the scenes to explore how the DAX formula and storage engines actually work, including query evaluation, columnar structures, and VertiPaq compression and encoding.
From there we'll cover helpful tips and best practices for DAX power users, including variables, comments, query formatting and error handling, then dive deep into scalar functions, iterators, advanced time intelligence, calculated table joins, relationship functions, and much, much more. Last but not least, we'll share a sneak peek into performance tuning and DAX query optimization using DAX Studio and Power BI's Performance Analyzer tool.
If you're looking to build expert-level data analysis skills using DAX and Power BI, this is the course for you.
FULL COURSE OUTLINE:
Prerequisite Skills Review
Review the core DAX concepts you should already know, including evaluation context, filter flow, measures, etc.
Course Project Intro
Introduce the Maven Roasters course project, and build the data model that we’ll analyze in Power BI Desktop
The DAX Engines
Understand the DAX formula and storage engines, data types, VertiPaq encoding & compression methods, etc.
DAX Tips & Best Practices
Review helpful tips for formatting DAX queries, adding comments, handling errors, and using DAX variables
Scalar Functions
Explore common DAX scalar functions, including rounding, information, conversion, and logical functions
Advanced
Table & Filter Functions
Create calculated tables, review common DAX filter functions, generate new data, etc.
Calculated Table Joins
Create calculated joins between physical and virtual tables in Power BI ()
Relationship Functions
Explore expanded tables, physical & virtual relationships, common relationship functions, etc.
Iterator ("X") Functions
Explore iterator cardinality, nested iterators, context transition
Advanced Time Intelligence
Build date tables with DAX, compare custom time periods, manage fiscal calendars, etc.
SNEAK PEEK: Performance Tuning
Introduce DAX Studio, the Power BI performance analyzer, and common DAX optimization techniques
Join today and get immediate, lifetime access to the following:
150+ page Power BI & DAX ebook
Downloadable datasets and Power BI project files
Homework assignments & quizzes
1-on-1 expert support
Course Q&A forum
30-day money-back guarantee
See you in there.
-Aaron (Power BI & DAX Instructor, Maven Analytics)
Looking for the full business intelligence stack? Search for "Maven Analytics" to browse our full course library, including Excel, Power BI, MySQL, and Tableau courses.
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