Data Modeling for Power BI Video Course
Data modeling is a required skill to get the most out of Power BI, Power Pivot for Excel, and Analysis Services. This video course is aimed at users of Power BI Desktop or Power Pivot for Excel, and at Analysis Services developers who want to learn how to build the optimal data model for their reporting needs.
The goal of the video course is to teach through examples of increasing complexity how to solve business scenarios by adapting the data model, so that the required DAX code becomes easier, faster and more robust. All the demos and the exercises are based on Power BI examples. However, the very same concepts can be applied to Power Pivot and Analysis Services Tabular.
The video course is made up of over 10 hours of lectures, plus another estimated 8 hours of individual exercises. You can watch the videos at any time and the system will keep track of your progress. Within the video 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.
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- Emmanuel Dubosson (Jul 13, 2018)
after using Power Pivot for some years, I could with this course improve my data modeling skills to the next level. The core principles explained in the sections are good understable. Some topics have some (DAX) magic in it. I appreciated the ways proposed in many examples to simplify the data model. Doing it right, it's much more easier and performant. Thanks a lot! With this video course, I'm just only missing eating a pizza with Alberto or Marco.
- – Thanks!!
Reply by SQLBI (Jul 13, 2018)
- – Thanks!!
- Eduardo Rocha Clemente (Jun 24, 2018)
The last Module that I really have done the exercises was the "Analyzing date and time intervals". I think that the previous course that you advised me to do "Introducing Dax", the free one, was not enough to understand the solution that was depeloped in DAX code. I intend to do the "Mastering Dax" course, and do all the exercises again in this course to a better understanding . I feel that a roadmap to master DAX is needed
- – Thanks for the feedback!
Please, keep in mind that the goal of the Data Modeling for Power BI course is to teach how to set the goal in designing the data model, not in implementing the transformation. The way you have to consider the exercise is in practicing the definition of the data model. It would be better to use SQL or Power Query (M) to obtain such a result. For practical reasons, we used DAX to accelerate the creation of the required table, otherwise the course would have dedicated 70% of the time describing how to use SQL and/or Power Query, with a more complex setup for the exercises required.
Reply by SQLBI (Jun 24, 2018)
- – Thanks for the feedback!
Please, keep in mind that the goal of the Data Modeling for Power BI course is to teach how to set the goal in designing the data model, not in implementing the transformation. The way you have to consider the exercise is in practicing the definition of the data model. It would be better to use SQL or Power Query (M) to obtain such a result. For practical reasons, we used DAX to accelerate the creation of the required table, otherwise the course would have dedicated 70% of the time describing how to use SQL and/or Power Query, with a more complex setup for the exercises required.
- Hana Palkova (May 10, 2018)
Many interesting new insights. Thanks Marco & Alberto!
- Paulo Rocha (May 7, 2018)
Wonderful! SQLBI, Marco and Alberto not only are the best in the field, bust also know how to share their knowledge. This approach of focusing in the Data Modeling and making more efficient DAX expressions takes us to a whole new level in Business Intelligence and Big Data. I'm very pleased with the content and the professional way everything was presented. Keep up the excellent work.
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!Amsterdam, NL | Dec 10-12, 2024 Amsterdam |