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.
Thank u wonderfull all session . please share download link all videos
a b(Mar 1, 2023)
Thank you!
Riccardo Bardi(Feb 26, 2023)
Amazing job! It's a great course. Thank you for your clearness and competence
Yoon Hee Kim(Feb 22, 2023)
Thank you ! It helps to understand the row context, filter context as well as anothers functions used which I had no idea before. Especially, this makes me clear to understant between the mesure and the column function.
Richard Bartleson(Feb 21, 2023)
Very descriptive teaching and I love the combination of the two of you. Your interactions with each other are great.
Thank you,
Rick
BI Reporting Specialist
Sarah Farr(Feb 20, 2023)
Wonderfull, clear and visible explanation, I love the way of teaching by using practical examples. Thanks guys!
Paco Garrido(Feb 17, 2023)
Nice course, very interesting, very well strucured and very well presented.
Thank you.
Akashdeep Singh(Feb 13, 2023)
good
Akashdeep Singh(Feb 13, 2023)
Good course
Hue Hoang Van(Feb 11, 2023)
thank you so much for the pre-submission lesson in DAX - it helps to understand DAX in basic level and that must be the important for next lesson about DAX - much apricated and see you in next courses.
Abhishek Singh(Feb 11, 2023)
Its Awesome and Knowledgeable ,
Thank You So Much.
Gabriella Adami(Feb 6, 2023)
I really understand some DAX's features
thanks for sharing