Skip to main content
HomePower BI

Course

Intermediate Data Modeling in Power BI

Intermediate
4.7+
870 reviews
Updated 04/2025
Master data modeling in Power BI.
Start Course for Free

Included withPremium or Teams

Power BIData Manipulation3 hours9 videos24 Exercises1,850 XP32,411Statement of Accomplishment

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

Course Description

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.

Prerequisites

Data Modeling in Power BI
1

Date Dimensions and Relationships

Start Chapter
2

Granularity, Measures, and Hierarchies

Start Chapter
3

Advanced Data Modeling

Start Chapter
4

Identifying Performance Problems

Start Chapter
Intermediate Data Modeling in Power BI
Course
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review

Included withPremium or Teams

Enroll now

Don’t just take our word for it

*4.7
from 870 reviews
78%
20%
2%
0%
0%
  • Carlos
    about 5 hours

  • Junior Oswaldo
    about 12 hours

  • Nikolas
    about 13 hours

  • Shah Masood
    about 17 hours

  • Ian
    1 day

  • Duong
    about 15 hours

Carlos

Junior Oswaldo

Nikolas

Join over 16 million learners and start Intermediate Data Modeling in Power BI today!

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.