After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
Foundations of Data Modelling
Proper data modeling is the foundation of data analysis and creating reports in Power BI. This course lets you explore a toolbox of data cleaning, shaping, and loading techniques, which you can apply to your data.Diving into Power Query
You'll get to know how to choose between Power Query and Power BI, and discover the foundations of data modeling by going into star and snowflake schemas. You'll apply all of this to real-world datasets issued by the United States Census Bureau.Feels like what you want to learn?
Start Course for FreeWhat you'll learn
- Differentiate facts and dimensions to design effective star-schema models.
- Distinguish between star and snowflake schemas and assess their performance impact.
- Evaluate data model choices that drive accurate insights and fast Power BI reports.
- Identify essential Power Query transformations for clean, reliable data.
- Optimize Model and Visual Performance in Power BI
Prerequisites
Curriculum
Course outline
1
Defining Tables
Proper data analysis relies on proper data modeling. This first chapter covers the basic concepts and teaches you how to set up and load data from multiple sources.
2
Shaping Tables
In this chapter, we continue comparing Power Query and Power BI practices. Later, you will exercise combining tables and column extraction on Power BI.
3
Dimensional Modeling
In this chapter, you'll learn more about one of the most popular approaches to data modeling. You'll get familiar with the basic building blocks of the dimensional model; facts, dimensions, and star schemas.
4
Star and Snowflake schemas
In this final chapter, you'll continue with an extension of the star schema: the snowflake schema. Lastly, you will have your first practice with performance analyzer in Power BI.
Data Modeling in Power BI
Course
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