DAX Formula Patterns

Advanced course using Power BI & DAX to solve complex but common business problems and scenarios you'll face everyday

4 hours
47 lessons
680 xp

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An outline of this training course

This training is completely focused on how to use DAX formulas within Power BI to solve simple up to very advanced analytical problems. By utilising the power of DAX, combined with the Power BI data model you can almost effortlessly write DAX formula that can solve even the most complex questions being asked of your raw data. To do this effectively you need to firstly understand the core DAX concepts and formulas. From here you can branch out into a number of re-usable patterns that can be overlaid on a variety of datasets. This course teaches you how to do exactly this with comprehensive examples on a considerable amount of analytical scenarios that you will face everyday in the real-world.

 

Details of what you will learn in this course

  • Learn - how to use DAX in Power BI to solve common analytical problems
  • Use - DAX formula to bring compelling analytical works to life
  • Learn - advanced DAX measure branching techniques
  • Understand - what true analytical power you have when combining multiple techniques
  • Learn - how to look at raw data and then build up your DAX formula to get the answers that you need

 

What you get with the course

  • 5 hours of course videos
  • 5x demo data sets to practice DAX formula throughout all course examples
  • 20x Power BI file (pbix file) downloads showcasing all the examples used during the course

 

Here are the specifics for the course

Analytical patterns you will be able to solve:

  • Percent of Total
  • Moving Averages
  • Statistical Analysis
  • Cumulative totals
  • Time Intelligence
  • Static Grouping
  • Dynamic Grouping
  • Events in Progress
  • Budgeting
  • Forecasting
  • Parameter tables
  • Scenario & What if analysis
  • Attrition analysis
  • Market basket analysis
  • Customer insights & behaviours
  • Many to many relationships
  • Related unique counts
  • Examples of combining various techniques

What our

Students Say
Curriculum
1

Introduction


2

% of Total


3

Moving Averages


4

Cumulative Totals


5

Time Intelligence


6

Static Grouping


7

Dynamic Grouping


8

Events in Progress


9

Budgeting


10

Forecasting


11

Parameter Tables


12

Scenario Analysis


13

Related Unique Counts


14

Your Feedback

Free

15

Certification


16

Continuous Learning


Your

Instructor
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Sam McKay

CEO & Founder

  • Sam is Enterprise DNA's CEO & Founder. He helps individuals and organizations develop data-driven cultures and create enterprise value by delivering business intelligence training and education on Microsoft’s Power BI platform
  • He partners with business decision-makers and analysts across all industries and business functions.

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