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DAX Formulas for Power Pivot

  • On-Demand
Author: Ken Puls

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This is the video portion of the "DAX Formulas for Power Pivot" seminar with Ken Puls. Understanding DAX formulas is what takes your Power Pivot to the next level. This course is intended to help you up your DAX game so that you can make your PivotTables show the exact aggregations you need.
Course Icon - DAX Formulas for Power Pivot Course Icon - DAX Formulas for Power Pivot

DAX Formulas for Power Pivot

$249 Renews at $29 per year
(All prices in USD)
This Course contains:
7 hours 30 minutes of training content
8 Content Modules
Downloadable files and Handouts
Certificate of completion
7 hours 30 minutes
DAX Formulas
Dimensional Modeling

What you'll learn?

Review of dimensional modelling terms and techniques and recommended practices
Building basic DAX measures from scratch
Understanding “Filter Context” and how it applies to formula calculation
Debugging a measure
Using CALCULATE() and ALL() to truly master your filter context
Advanced conditional logic patterns
Using iterator functions like SUMX() and AVERAGE()
Advanced time intelligence patterns

Course Overview

Course Description

While a well-related model is a core part of making Power Pivot sing, understanding DAX formulas is what really takes your Power Pivot to the next level. This course is intended to help you up your DAX game so that you can make your PivotTables show the exact aggregations you need. From creating simple measures to controlling % of grand totals which don’t lose their context upon filtering, to advanced patterns to control date period intelligence, we’ll cover it here.

If you’ve grown into Power Pivot but haven’t spent time studying DAX to any level of depth, this course is for you. After this course, you’ll be comfortable rolling your own custom measures to make your projects report EXACTLY the way you want.

A Note on Access

Your registration in the seminar comes with a free 3-month trial subscription to this video course. After the free trial period, you can choose to continue your access for $29 USD/year.

Who this course is for?

  • Accountants and data professionals who are responsible for building business intelligence reports.
  • Registrants must have experience using PivotTables and Power Pivot.

Course Formats

This is an on-demand course, delivered via pre-recorded video modules that you can consume at your own pace. It includes all required sample files, practice sets, and Q&A tests to validate your knowledge.

Course Content

Platform Introduction
3 Lessons
Course Examples
Course Introduction
Who’s Ken
Introduction to Power Pivot
6 Lessons
Where PivotTables Fail
Fact and Dimensions
Enter the Data Model
Relating the Tables
Creating Implicit Measures
Filtering, Ordering and Sorting
Introduction to DAX Formulae
8 Lessons
Aggregations, Measures and DAX
Basic Measure Syntax
Creating Basic Explicit Measures
Creating Compound Measures
Filter Context and Measure Calculation
Debugging Filter Context
Aggregating Dimensions
Why Relationships May Be Needed
Controlling Filter Context
4 Lessons
Removing a Filter
Percent of Column Total Measures
Conditional DAX
Iterator Functions
3 Lessons
Challenge: Generate Cost by Line
Cost by Line Using Calculated Columns
Cost by Line Using Iterator Functions
Income Statement Patterns
4 Lessons
Challenge: Flipping Signs in a Column
Reporting Filter Context in a Pivot
Dealing with Multiple Values
Flipping Signs in a PivotTable Column
Calendar Intelligence
7 Lessons
DAX Functions – Extracting Date Components
DAX Functions – “x” to Date Measures
The Importance of a Calendar Dimension
DAX Functions – Previous/Next Period Measures
DAX Functions – Shifting Dates with DATEADD()
The Golden Date Pattern
Creating Calendar Safe Patterns
Help Resources
6 Lessons
Free Help Forums
Free Blogs
M is for (Data) Monkey
Power Query Recipes
Power Query Academy
Free Newsletters

How subscription works?

This course is built on an annual subscription format. Your registration comes with 12 months of access to the course materials, so you can refer back to the videos and example files whenever you like. Your subscription also gives you access to our private Discussion Forum, where you can ask questions related to the course materials, as well as how to apply those teachings to your own work. This forum is an invaluable resource that also allows students to practice their own learnings by helping others with those questions.

On your annual renewal date, your subscription will be automatically renewed with the credit card information on file, unless you cancel your subscription beforehand. You will be emailed a renewal reminder about one month before the renewal date. Please see the FAQs below for information about subscription renewals and cancellations.

About the author

Ken Puls

Ken Puls

Microsoft MVP, FCPA, FCMA
Ken Puls is one of the founding partners of Skillwave.Training, and the President and Chief Training Officer of Excelguru Consulting Inc. in Canada. He is a Chartered Professional Accountant, blogger, author, and trainer with over 20 years of business and IT experience. His passion lies in exploring tools to turn data into information, and teaching others how to use them. Ken is a Microsoft MVP and a leading expert in Excel, Power Query, and Power BI.


How do I access the course materials? Are they downloadable?
The videos are streamed on-demand and may be watched as often as you like. However, they are not downloadable. The example files and handouts for each lesson are downloadable.
Where are the course videos hosted?
All the videos for the course are hosted on Vimeo. Please note that some networks block access to Vimeo, in which case the videos will not be watchable. You may want to double-check that your network allows access to Vimeo before registering in the Academy, to ensure that you will be able to see the videos.
How do I receive my Certificate of Completion?
After all the modules and lessons have been completed, you will be able to download the Certificate of Completion from the My Courses area of your Account Dashboard


DAX Formulas for Power Pivot

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