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Data modeling is a required skill to get the most out of Power BI, Power Pivot for Excel, and Analysis Services. The training 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.
This three-day classroom course is a practical introduction to the concepts of data modeling for Power BI, Analysis Services Tabular, and Power Pivot. All the attendees will receive a copy of the book, Analyzing Data with Power BI and Power Pivot for Excel.
The goal of the classroom 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 classroom course includes hands-on labs: you will apply concepts using your own notebook.
To get the most out of the classroom course, attendees should be familiar with the user interface of Power BI Desktop to import data, create relationships, edit queries, define measures and calculated columns. Previous knowledge of data modeling concepts is not required.
Prior DAX knowledge is welcome and may improve your classroom course experience. It is always a good idea to review the free Introducing DAX video course prior to attending the classroom course.
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