Introducing DAX Video Course
This is an introductory video course about the DAX language. DAX is the native language of Power BI, Power Pivot for Excel, and SSAS Tabular models in Microsoft SQL Server Analysis Services. The training is aimed at users of Power BI, Power Pivot for Excel, and at Analysis Services developers that want to move the first steps with DAX.
The goal is to teach the DAX language using Power BI for all the examples. You can download the initial Power BI Desktop file used in the demos and repeat all the steps shown in the videos. The same concepts can be used also on Power Pivot and on Analysis Services Tabular. The course is made of 150 minutes of lectures. You can watch the videos at anytime and the system will keep track of your advances. Within the course you can download the slides and the initial Power BI file used in the demos.
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- Mario carvajal (May 20, 2019)
Excellent presentation!
- Christopher Jones (May 19, 2019)
Very good. About the only thing I would've like to have also seen is consideration of query performance. Example: There was discussion of RELATEDTABLE and also of CALCULATE. If one is creating a calculated column in the Customer table for TotalSales, there is the option of basing the calculation on either function. Would be nice to know the performance implications of the choice. But maybe that's for the Mastering class.
- – There is a specific course for this: Optimizing DAX!
However, RELATEDTABLE and CALCULATE have the same behavior because RELATEDTABLE is just an alias for CALCULATETABLE. Performance is the same.
Reply by SQLBI (May 19, 2019)
- – There is a specific course for this: Optimizing DAX!
However, RELATEDTABLE and CALCULATE have the same behavior because RELATEDTABLE is just an alias for CALCULATETABLE. Performance is the same.
- Lucy LI (May 19, 2019)
Great course!
- Luca Gusmini (May 15, 2019)
great course
- SAI TEJA AKHIL MADIVADA (May 12, 2019)
Great course!! Thank you, Alberto Ferrari and Marco Russo
- Usama Fazzal Ahmed (May 12, 2019)
Absolutely amazing. This is how all courses should be made. Simple to understand and thorough.
- Tomasz Halas (May 9, 2019)
Great Course!
- Janet Grant (May 9, 2019)
I'm not new to data manipulation, having spent many years with Excel (prior to Power Pivot) and SQL, and I enjoy teaching myself new software by jumping in and making things. But I was totally new to DAX and Power BI, and I was struggling even with the most basic calculations - getting correct answers just by trial and error. This course was exactly what I needed to get a running start on making my own data models and visualizations! If you're not familiar with databases, relationships, and data queries, you might be a little lost. But with a basic background, these guys walk you through the logic of DAX in a very common sense kind of way. I found myself constantly thinking, "Ohhhh!!! *That's* how that works! Now it makes sense!" Thanks Alberto and Marco!
- Laura Arlandis (May 8, 2019)
Great introductory course for the DAX language
- Exec BI (May 7, 2019)
Very informative. I have some Power BI hours under my belt, so the speed of the video lectures was not much of an issue for me, however, for those who have less experience, I can imagine them having to watch certain lectures multiple times, or at a minimum, pause and start again, which might discourage some individuals from completing the course.
- MAHESH CAROICAR (May 4, 2019)
Outstanding!!!!!!
- Renu Gehring (May 1, 2019)
These are amazing videos. Thank y
- Pawel Kwiecinski (Apr 29, 2019)
Very useful information for beginners, this course is unique because it highlights with due focus some of the most important information in all of DAX, specifically regarding evaluation contexts.
- John Nickell (Apr 26, 2019)
Very good! I've been stumbling around in Dax/PowerBI and watching this course explained some of the rules behind things that I had inferred. Understanding the rules (especially filters context and how calculate modifies the context) may have gotten me past the road block I have been beating my head against! Thank you!
- Dayo Solaru (Apr 25, 2019)
Very well explained