Data Engineering
DAX Training
This GoDataDriven training offers a 1-day introduction to DAX. If you need to add analytical power to your Power BI model that is not available in the data as-is, benefit from using DAX.
This GoDataDriven training offers a 1-day introduction to DAX. If you need to add analytical power to your Power BI model that is not available in the data as-is, benefit from using DAX.
You can only unlock the full analytical power of dashboards in Power BI with Data Analysis Expressions (DAX). DAX is not a language you learn just by doing, theoretical knowledge is needed! This training covers all DAX language concepts required to write DAX, plus extensive exercises to get enough hands-on experience.
Data Analysts working with Power BI, who want to take their dashboards to the next level. Hands-on experience and knowledge of Power BI and data modeling are required to participate in this training. You can acquire this through our Power BI In a Day training, Data Modeling training or through work experience with Power BI.
This training will provide you with the knowledge and experience needed to use Power BI for more than just analyzing data. You will have a theoretical understanding of this formula language to apply DAX successfully.
The program consists of four blocks that combine theory and practice.
This Data Engineering training is brought to you by our training partner, GoDataDriven. GoDataDriven works with experts in their field who are always on the lookout for the most innovative ways to get the most out of data. Your trainer is a data guru who enjoys sharing his or her experiences to help you work with the latest tools.
In addition to this DAX training, Xebia Academy offers more Data Engineering courses together with GoDataDriven. Find an overview of these training courses here.
After registering for this training, you will receive a confirmation email with practical information. A week before the training, we will ask you about any dietary requirements and share literature if there's a need to prepare. See you soon!