Introduction to Data Modeling for Power BI Video Course
Introduction to Data Modeling for Power BI is an introductory video course about data modeling, which is a required skill to get the best out of Power BI, Power Pivot for Excel, and Analysis Services. The training is aimed at users that do not have a background knowledge in data modeling for analytical systems and reporting.
The goal of the course is introduce the primary concepts of dimensional modeling, using practical examples and demos to illustrate how to obtain the desired result without having to write complex DAX expressions. Creating a proper data model simplifies the code to write and improves the performance. The course is made of 100 minutes of lectures. You can watch the videos at any time and the system will keep track of your advances. Within the course you can download the slides and the Power BI files used in the demos.
Excellent video course, very clear examples and explanation.
Paul Brown(Jun 19, 2020)
Great introduction to Data Modeling.
Luis Vásquez(Jun 13, 2020)
Excellent, good explanation and very practical examples
Stevan Bertozzo(Jun 11, 2020)
Great course! Wonderful content! I will enrol in other courses! Thank you!
alessandro maramotti(Jun 11, 2020)
Great course!
Israr Yousaf(Jun 10, 2020)
Great Introduction to Data Modelling and how important it is to have a right modell in order to get the Best/Correct Analysis.
Sahil Hoogan(Jun 10, 2020)
Great learning course. Thank you Marco Russo
Balaji uddewal(Jun 10, 2020)
Very well explained all concept...Thank you!!
Niranjan Makkuva(Jun 10, 2020)
Excellent
Oye Adekola(Jun 9, 2020)
Excellent!
Juan Martin(Jun 7, 2020)
Great tool for beginners!
Abdul Rafay(Jun 3, 2020)
Thanks to Marco Russo and Alberto Ferrari. Great lectures and demos.
Mikhail Lopes(Jun 2, 2020)
Excellent course very grateful for this important introduction
Argenis Chaffardet(May 31, 2020)
Another amazing Introduction Course to Data Modelling, Marco Russo and Alberto Ferrari shows how important is to have a good model and the consequences to have a wrong model.