Modeling Data in Power BI
Offered By: Microsoft via Coursera
Course Description
Overview
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In this course, you'll learn how to use Power BI to create and maintain relationships in a data model and form a model using multiple Schemas. You'll explore the basics of DAX, Power BI's expression language, and add calculations to your model to create elements and analysis in Power BI. You'll discover how to configure the model to support Power BI features for insightful visualizations, analysis, and optimization.
After completing this course you'll be able to:
● Create and maintain relationships in a data model.
● Form a model using a Star Schema
● Write calculations DAX to create elements and analysis in Power BI
● Create calculated columns and measures in a model
● Perform useful time intelligence calculations in DAX
● Optimize performance in a Power BI model
Syllabus
- Concepts for data modeling
- This module introduces data modeling and the schemas used to create them.
- Using Data Analysis Expressions (DAX) in Power BI
- This module introduces the learner to the DAX (Data Analysis Expressions) language. The module explores the syntax of DAX using multiple business use cases. The module also integrates DAX with previous lessons on database tables and their use and introduces the concept of time intelligence.
- Optimize a model for performance in Power BI
- This module explores the optimization process and examines the tools and methods to achieve this in Power BI, including using performance analyzer and DirectQuery features. This module also dives deeper into DAX and its use in the real world.
- Final project and assessment: Modeling data in Power BI
- In this module, you will be assessed on the key skills covered in the course. This module summarizes the course and reflects on the primary learning objectives. The module also contains the project for the course, which encapsulates the learning into a practical whole.
Taught by
Microsoft
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