Comments: 1. Safari browser on an iPad doesn't automatically play the next video. Edge browser on a PC does. 2. In the interface, please provide a way to bookmark points in the videos and the ability to go back to them later by picking from a list of bookmarked timestamps.

• – Thanks for the feedback - we are not sure how much we can customize the player, we are investigating in possible improvements!
  Reply by SQLBI (Apr 21, 2020)

Great Course !

Excellent course. Now I have many ideas on how to improve the data models I've been working with!

Simply Awesome! Structured, organised, user friendly, and with good practice step by step. I enjoyed it and learnt a lot, as it is also, super clear to follow and understand.

Great course with only one comment - too bad the last two sections don't have any labs. Luckily I have the book and did the exercises associated with the book. How about incorporating them here?

The course subject and topics covered is really interesting and great explanation. However, it is really frustrating so far as you cannot complete this course unless you know DAX, and I'm not talking about the free dax course, it needs to go higher because it is assumed you understand how dax and each of it's functions work in order to complete each of the tasks/challenges at the end of each module. That was never made clear when buying the course! It should be clearly stated that you should either complete one of the more advanced DAX courses first, or take a quick self test on DAX questions to ensure your level is high enough before buying this course.

• – Hi Robert, we're sorry you feel this way. The purpose of the course is to show what is the right way to create a data model in order to simplify the DAX code required. Most of the DAX code shown in the course is actually what is required in case you do not have a proper data model. Once this first goal is achieved (understanding what is the right data model), then you have to transform the source data in case it doesn't fit the model. There are many tools you can use for that: SQL queries, ETL tools, Power Query (with M language). Sometimes you can use DAX, even though this is not necessarily the best tool for the job, maybe with the exception of some data model based on snapshot tables. Our experience is that knowing the right data model is a very useful skill for Power BI users, even though they don't know data tools and languages and don't want to / cannot spend time to learn them, because they can ask for the data in a proper format from someone else, maybe a co-worker in the company for example. If you want to achieve proficiency in data transformation, you need to use Power Query/M or SQL or other commercial ETL Tools (Informatica, Integration Services, Azure Data Factory, and many others). However, knowing these tools without having a goal (like the star schema we discuss in the course) could lead to models that solve the problem for a specific report and not for a generic semantic model, as a Power BI model can be. We made the choice to show some transformation in DAX because it was the easiest to use and deploy for the examples. The alternative would have required a more complex setup for the data sources, with the risk of losing time with configuration details while the focus should be on the concepts contained in the course. Please, contact us at info (at) sqlbi (dot) com if you want to provide additional feedback about the tools you would have liked to see to perform data transformation. We are always looking for feedback that can help us improve the content. We also hope that this explanation will help other readers that evaluate this course. Thanks!
  Reply by SQLBI (Jan 20, 2020)

Great content from basic to advanced concept of data modelling using DAX. Highly recommended for every BI professionals

Perfect methodology and didactics! For sure the best course in the market!

Great course

This is a fantastic course!! I am studying this course concurrently with the Mastering DAX course and I am finding it quite useful to go back between both courses. I am eager to continue in this wonderful journey of learning the DAX language and applying it to my work.

Very good: clear explanations and examples, though harder than I had expected. But that's good because it means there was a lot to learn! Minor point of improvement: sometimes the assignments weren't totally clear to me. In those cases it started with a description, but never really asked a question/gave an assignment.

Thank's, this course leveled me to another way of "DAXing". Now I feel better when I open the PBI and start measuring. Thank's a lot!!!!

Thank you Marco and Alberto for a wonderful course. A lot of real world applications were covered in the course and also different techniques to solve them. I particularly enjoyed the techniques which we shouldn't use and the reasons for not using them. Highly recommended for anyone interested in an in depth analysis for Power BI data modeling.

Best course of Data Modeling!!!

A thorough review of model scenarios (simple to complex) covering date and time, historical attributes, snapshots, intervals, many-to-many relationships, differing granularities, segmentation, and multiple currencies.