Data Modeling in Power BI

3 Assets
6 Hours

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About This Path

In this learning path, you will master the art of data analysis and modeling, focusing on techniques such as conditional formatting, switch logic, and context transition.

You will learn how to structure data models effectively, including the creation of key measures tables, handling multiple dates in fact tables, and utilizing active and inactive relationships. Real-world examples, like analyzing race data, will be used to illustrate these concepts.

Who Should Take This Path

This path is ideal for individuals who are passionate about analyzing data and creating insights. It's also suitable for professionals who want to unlock the potential of their organization's data assets and drive better business decisions using data.

What Are The Path Requirements

To get the most out of this learning path, you should have a basic understanding of data analysis and modeling. Prior experience with a tool like Power BI would be beneficial, but the course is designed to guide learners through the process step by step, making it accessible even to those new to these concepts.

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