Mastering DAX Workshop
Aarhus C, DK



This three-day workshop is a complete course about the DAX language. DAX is the native language of Power Pivot for Excel, Power BI Desktop and SSAS Tabular models in Microsoft SQL Server Analysis Services. The training is aimed at users of Power Pivot for Excel, Power BI Desktop and at Analysis Services developers that want to learn and master the DAX language. The goal of the course is to teach all the features of the DAX language, providing the knowledge to write formulas for common and advanced business scenarios. All the attendees will receive a copy of the new book The Definitive Guide to DAX.

Prerequisite: Attendees need to have a basic knowledge of the data modeling in Power Pivot for Excel, or Power BI Desktop, or Analysis Services Tabular modeling. A prerequisite of the course can be the participation to a SSAS Tabular or PowerPivot Workshop, or having an equivalent real-world experience.

Topics covered:

  • DAX Basics
  • Table Functions
  • Evaluation Contexts
    • Filter and Row Context
    • CALCULATE
    • Evaluation Contexts and Relationships
  • Time Intelligence Calculations
  • DAX as a Query Language
  • Statistical Functions
  • Advanced Table Functions
  • Advanced Evaluation Context DAX
    • Understanding Cross filters
    • Internal Materialization
  • Calculations over Hierarchies
  • Parent/Child Hierarchies
  • Advanced Time Intelligence in DAX
  • Advanced Relationship Handling
    • Physical Relationships
    • Virtual Relationships
    • Examples of Complex Relationships

The course includes hands-on labs: you will make practice using your own notebook.


» Course outline (PDF)

Each attendee must bring his/her laptop for exercises. We will provide the configuration required, or in alternative it will be possible to connect to a virtual machine on the cloud using Remote Deskop and the Internet connection available in the training room.


Course time

Exact time schedule will be communicated by mail before the course


Course location


Orange Man
Frederiksgade 71, 1.sal - 8000
Aarhus C, DK
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