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Modeling Data in Power BI
Master data modeling in Power BI through schemas, DAX calculations, and performance optimization to create powerful business analytics models.
Course Cost
Free course
Beginner
Skill Level
22 Hours
Self-paced lessons
This comprehensive course teaches you how to create effective data models in Microsoft Power BI. You'll learn to establish and maintain relationships in your data models using various schema designs including Flat, Star, and Snowflake. The course introduces Data Analysis Expressions (DAX), Power BI's expression language, enabling you to write calculations that create powerful elements and analyses. You'll master creating calculated tables, columns, and measures, and learn how to implement time intelligence calculations for temporal comparisons. The course also covers model optimization techniques to enhance performance, including working with DirectQuery connections and implementing aggregations. Through practical exercises and hands-on projects, you'll develop the skills to configure your models for insightful visualizations and efficient analysis, ultimately learning how to build optimized data models that support effective business decision-making.
What you'll learn
Create and maintain relationships in a data model
Design models using Flat, Star, and Snowflake schemas
Understand and apply cardinality and cross-filter direction
Write DAX expressions for calculated tables and columns
Develop measures for business analytics and insights
Implement time intelligence calculations for temporal comparisons
Optimize data models for improved performance
Use DirectQuery and aggregations effectively
Skills you'll gain
This course includes:
4.1 Hours PreRecorded video
24 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course provides a comprehensive introduction to data modeling in Microsoft Power BI. Students begin by learning fundamental concepts of data modeling, including different schema types (Flat, Star, and Snowflake), understanding fact and dimension tables, and managing relationships between data elements. The course then progresses to Data Analysis Expressions (DAX), teaching students how to create calculated tables and columns, develop measures for business analytics, and implement time intelligence calculations for temporal comparisons. The third module focuses on performance optimization techniques, including resolving model issues, working with DirectQuery connections, and implementing aggregations. Throughout the course, students engage in practical exercises that build their skills in creating efficient data models that support visualization and analysis. The curriculum emphasizes both technical implementation and business context, helping students understand how proper data modeling enhances business intelligence capabilities and supports better decision-making. The course culminates in a final project where students build and optimize a complete data model, demonstrating their mastery of the course concepts.
Concepts for data modeling
Module 1 · 6 Hours to complete
Using Data Analysis Expressions (DAX) in Power BI
Module 2 · 8 Hours to complete
Optimize a model for performance in Power BI
Module 3 · 5 Hours to complete
Final project and assessment: Modeling data in Power BI
Module 4 · 3 Hours to complete
Fee Structure
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Faculties
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Frequently asked Questions
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