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Course overview
This interactive course will help you take your first steps in Data Modeling with Microsoft Power BI. You’ll learn how to design data models, define key components like dimensions and fact tables, and optimize performance to build robust models for decision-making. No advanced Power BI experience is necessary — we’ll start with the basics and guide you every step of the way
Key skills
- Designing efficient data models in Power BI
- Understanding dimensions, fact tables, data granularity, and relationships
- Creating measures using Data Analysis Expressions (DAX)
- Optimizing data models for enhanced performance in Power BI
Course outline
Learn Data Modeling in Power BI [7 lessons]
Data Modeling in Power BI 2h
Lesson Objectives- Understand essintial of data modeling in Power BI
- Identify the components of the semantic model and their role in structuring data
- Explore the star schema and its importance in designing efficient data models
- Comprehend the functions of fact and dimension tables within a data model
- Gain a foundational understanding of DAX and its contribution to enhancing data models
Design a Data Model in Power BI - I 2h
Lesson Objectives- Understand and manage relationships between tables in Power BI
- Create and configure date tables in Power BI
- Build and optimize data models using star schema principles
- Utilize DAX and M-formula for advanced data manipulation
Design a Data Model in Power BI — II 2h
Lesson Objectives- Establish and configure table relationships
- Utilize hierarchies and role-playing dimensions
- Define data granularity
- Resolve modeling challenges
Creating Measures Using Data Analysis Expressions-DAX 2h
Lesson Objectives- Create calculated columns
- Use DAX to build measures
- Use the CALCULATE function to manipulate filters
- Implement time intelligence by using DAX
Optimize a Model for Performance in Power BI - I 2h
Lesson Objectives- Review the performance of measures, relationships, and visuals
- Use variables to improve performance and troubleshooting
- Optimize performance and reduce the size of the model
Optimize a Model for Performance in Power BI — II 2h
Lesson Objectives- Optimize data models using aggregation techniques to improve performance
- Create and manage aggregations effectively in Power BI
- Understand the impact of cardinality and relationships on performance
Guided Project: Modeling Data in Power BI 1h
Lesson Objectives- Apply data cleaning and transformation in real-world situations
- Apply modeling data to real-world situations
Projects in this course
Modeling Data in Power BI
For this project, you’ll act as an analyst at a company tasked with modeling sales data in Power BI. You’ll clean, transform and analyze the data to extract insights that inform business decisions.
The Dataquest guarantee
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.
Master skills faster with Dataquest
Go from zero to job-ready
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build your project portfolio
Build confidence with our in-depth projects, and show off your data skills.
Challenge yourself with exercises
Work with real data from day one with interactive lessons and hands-on exercises.
Showcase your path certification
Share the evidence of your hard work with your network and potential employers.