Mastering DAX Workshop

Amsterdam, NL

Sorry, the course is closed.

Good news, there is an open class in the same country:

DAX is the native language of semantic models in Power BI, Fabric, Analysis Services, and Power Pivot for Excel. The training is aimed at users of Power BI and Power Pivot for Excel, and at Analysis Services developers who want to learn and master DAX.

The goal of this three-day, classroom course is for the expert trainer to teach all the features of the DAX language, providing the knowledge to write formulas for common and advanced business scenarios. All attendees will receive a digital copy of the book, The Definitive Guide to DAX - 3rd edition.

The classroom course includes hands-on labs: you will apply the concepts using your own notebook.

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Topics

  • DAX syntax
  • User-defined functions
  • Filter context
  • Row context
  • Table functions
  • Semi-additive calculations
  • Time intelligence (calendar-based and classic)
  • Window functions
  • Calculation groups
  • Inside CALCULATE
  • Advanced Relationships
Mastering DAX Outline (PDF)

Prerequisites

Attendees need basic knowledge of Power BI Desktop, or Analysis Services Tabular, or Power Pivot for Excel.

We strongly suggest attendees watch the free Introducing DAX video course prior to attending the Mastering DAX classroom course. This ensures proper basic knowledge of the language to start Mastering DAX. A minimum of 3-6 months of DAX experience is usually suggested to get the most out of the Mastering DAX classroom course.

All hands-on labs are based on Power BI; reasonable user interface knowledge is recommended, though the same DAX concepts can also be applied to Fabric, Power Pivot for Excel, and Analysis Services.

Location

BCN Amsterdam Arena

Atlas Arena Complex, Gebouw Azië - 5e etage, Hoogoorddreef 5
Amsterdam, NL
You can reach the training center in less than 15 minutes from Amsterdam Airport Schiphol with a direct train.
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Teaching this course

Alberto Ferrari

 Consultant & Mentor
Trainer for 152 other courses at SQLBI

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