Introduction to Power BI Data Modeling
Build a model from raw data using Power Query, create dimensions, merge and load data, build relationships and a date table, choose schemas, handle bidirectional and 1:1 cases, and follow best practices.
- Course Info
- Instructor
- What to know beforehand
- System Requirements
Course Description
In Introduction to Power BI Data Modeling, Greg Trzeciak teaches you how to build clean, reliable models that make reporting easier and DAX more predictable. You’ll learn the core concepts behind good modeling, fact and dimension tables, model types, relationships, and schemas, plus the practical decisions that prevent common reporting problems like confusing filters, inconsistent totals, and slow performance. This course is designed to give you a strong foundation that applies to nearly every Power BI project, from simple dashboards to enterprise semantic models.
You’ll follow a hands-on modeling workflow from raw data to a working model. Greg covers how Power Query supports data shaping, how to build and refine dimensions, how to merge data when needed, and how to load the results back into Power BI. Then you’ll focus on relationships and structure, creating a date table, choosing the right schema, understanding bidirectional filtering, and handling special cases like 1-to-1 relationships. By the end, you’ll have a repeatable modeling process and best practices you can apply to build fast, trustworthy Power BI solutions.
Course Outline ( Free Preview)
This course includes:
- 2+ hours of training
- 0 Module
- Beginner level content
- Access on mobile and browser
- Certificate of Completion
