Mastering DAX Video Course
This is the video course version of the Mastering DAX workshop.
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 learn and master the DAX language.
The goal of the course is to teach all the features of DAX, providing the knowledge to write formulas for common and advanced business scenarios. The video course is made up of over 15 hours of lectures, plus another 15-20 hours of individual exercises. You can watch the videos at anytime and the system will keep track of your progress. Within the course you can download the material for all the exercises.
Students have access to a private discussion area where they can interact with the instructors asking questions related to the lectures and the exercises.
Collapse allCurriculum
- James Gourley (Apr 10, 2020)
This course is unbelievably good. I'm so impressed with Marco & Alberto's ability to take extremely complex topics and explain them in an understandable way.
- Koen de Witte (Apr 8, 2020)
Fantastic. So happy I chose this course, it was well worth it! What I especially liked was the fact that 90% of the lectures was spent hands-on in PowerBI, writing DAX, looking at the result, seeing what works, what not and why not, improving the code, this way giving you the understanding you need... Also, none of the video of the lectures were edited. They're all single takes, which showed how much teaching experience and confidence Marco and Roberto have. it made everything a much more natural and valuable experience than a lot of other paid online material.
- Cosmin Ioan (Apr 6, 2020)
the bestest course! :-) seriously, top notch!
- MARCO BAJAÑA (Mar 31, 2020)
Excellent course congratulations to everyone keep me informed of new features. Very soon I will continue with other courses with you. Greetings Marco Bajana
- Floris Lemkes (Mar 20, 2020)
Very nice and helpful!
- Santosh Raghunath (Mar 13, 2020)
Marco and Alberto, I want to thank you both for such a wonderful course. I completed the first one and updating myself with this one also. I could clear the Microsoft certification for Power BI. Thank you so much. You guys are amazing. I truly recommend this course to all Power BI users.
- andre meyer (Mar 4, 2020)
Thank you Marco and Alberto, this course is obviously the best around, for the content, of course, but I also very much enjoy the 2-person animation and the large number of exercises (from an instructional design point of view, a very well-built course).
- Sira Ekabut (Feb 16, 2020)
i get additional insights every time i watch this course
- Hypatia Rojas (Feb 12, 2020)
Excellent work
- Doru Imbroane (Feb 9, 2020)
Excellent! Any other adjective would not describe the quality of this course. I would suggest nevertheless that you introduce "exam"-like exercises (that are not joined by solutions) and are graded. This indeed will guarantee an in-depth knowledge of the material covered.
- – Thanks for the suggestion!
While we prioritize the production of content and tools for learning, certification is a process that is not currently in our goals. We do have a self-assessment exam to review pre-requisites for Optimizing DAX (did you try it?) and we would like to extend that approach further, rather than provide a certification assessment. We will consider your and others' feedback in our future plans!
Reply by SQLBI (Feb 10, 2020)
- – Thanks for the suggestion!
While we prioritize the production of content and tools for learning, certification is a process that is not currently in our goals. We do have a self-assessment exam to review pre-requisites for Optimizing DAX (did you try it?) and we would like to extend that approach further, rather than provide a certification assessment. We will consider your and others' feedback in our future plans!
- Abhijith DSouza (Feb 4, 2020)
Fantastic course by Marco and Alberto covering all aspects of DAX and complex Power BI models. The best part of the course is that they not only teach you what is best practice but also tell you what not to do and why you shouldnt it as well. Highly recommend if you want to master DAX.
- Alexander Feygin (Jan 24, 2020)
Definetely this's the example of how on-line video course shoud be made. It's up-to-date, includes professianally made support materials (demo files, slides, exercise book), covers deep theoretical nuances of dax logic (which is the foudation of your ability to write and uderstand how code works). At the same time, there's a huge amount of sophisticated exercises (especially advanced section) that helps you to get practical skills. Also, thanks a lot for your blog and tools like dax formatter. Your blog posts should become the next step in learning all the technics and nuances of dax language and proper data modeling.
- Andy Stepas (Jan 21, 2020)
I love this video course!. Excellent and simple explanations of the most used DAX functions and are available at any time you need them. Thanks Marco and Alberto, keep going doing with this kind of courses.
- Swapnil Sangle (Dec 26, 2019)
Hi Marco , Alberto. The course is absolutely amazing. After going through this course, I bought your "Data Modelling" course. Great content, excellent delivery. Just one suggestion, Is it possible to provide a data or data source from a different industry may be IT, along with list of exercises to solve. This can act as a project and also help us to test our understanding. Thanks, Swapnil
- – The reason why we use always the same sample data (Contoso) is because this allows the reader to focus on the exercise/module topics rather than the details of the implementation. This is especially true for the DAX course. For Data Modeling we already introduced different data models in order to present and to solve specific modeling problems. However, in those cases the amount of data included is very limited. The reason is that sample data must satisfy a number of requirements and not create any issue related to privacy, NDA, and advertising. The Contoso sample database is a huge investment that Microsoft made 10-15 years ago. In such a database, all the names have been cleared for publishing. Similar investments are certainly not possible for a single video course. Therefore, while we agree that adding specific industry-related models would be very useful, it is unlikely to happen - at least considering a data model populated with reasonable data, like Contoso and Adventure Works.
Reply by SQLBI (Dec 26, 2019)
- – The reason why we use always the same sample data (Contoso) is because this allows the reader to focus on the exercise/module topics rather than the details of the implementation. This is especially true for the DAX course. For Data Modeling we already introduced different data models in order to present and to solve specific modeling problems. However, in those cases the amount of data included is very limited. The reason is that sample data must satisfy a number of requirements and not create any issue related to privacy, NDA, and advertising. The Contoso sample database is a huge investment that Microsoft made 10-15 years ago. In such a database, all the names have been cleared for publishing. Similar investments are certainly not possible for a single video course. Therefore, while we agree that adding specific industry-related models would be very useful, it is unlikely to happen - at least considering a data model populated with reasonable data, like Contoso and Adventure Works.
- Andy Stepas (Dec 1, 2019)
I love this course!. Excellent explanation of DAX functions and I can review every time I need to remember some function. Thanks Marco and Alberto for dedicating your time doing this course paying attention to every detail.
Would you prefer a classroom course?
This video course is based on a classroom course we teach all around the world. If you prefer a classroom learning experience, take a look at the dates below for a list of our upcoming classroom courses!
|
Feb 18-20, 2025 |
|
Feb 24-26, 2025 |
|
May 20-22, 2025 |
|
May 28-30, 2025 |
|
Jul 9-11, 2025 |