FeaturedUdemy
-50%Intermediate Data Modeling in Power BI
4.8(4,617)58k studentsINTERMEDIATEEnglish
Korshub's take
Overview
This intermediate course focuses on advancing Power BI data models beyond basic table connections. You examine fact-dimension relationship cardinality, bi-directional cross-filtering, hierarchy configuration, custom DAX expressions, and report optimization strategies.
Who It Is For
Power BI analysts seeking to refine star schemas, control cross-filtering behavior, and improve report execution.
Key Takeaways
- Manage relationship cardinality and bi-directional cross-filtering effectively.
- Build custom DAX calculations, quick measures, and dimension hierarchies.
- Implement reporting best practices to optimize Power BI model performance.
About this course
Extend your Data Modelling Skills
In this course, you’ll extend your knowledge about facts, dimensions, and their relationships. You learn about the cardinality of relationships and how you can use bi-directional cross-filtering in your model.Use DAX to Customize your Data Model
You’ll also explore the use of quick measures and hierarchies and write DAX to fully customize your data model. Finally, you’ll get introduced to Power BI reporting best practices to improve the performance of your reports.Advertisement
![Data Analysis Real world use-cases- Hands on Python [2026]](/_next/image?url=https%3A%2F%2Fimg-c.udemycdn.com%2Fcourse%2F750x422%2F3819580_9b6d.jpg&w=3840&q=75)
