Otavio

“The learning paths on Dataquest are incredible. They give you a direction through the learning process – you don’t have to guess what to learn next.”

Otávio Silveira

Data Analyst @ Hortifruti

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

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.

Money

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

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 your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Share the evidence of your hard work with your network and potential employers.

Grow your career with
Dataquest.

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Dataquest for career advancement
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Average salary boost
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Aaron

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”

Jessi

Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”

Victoria

Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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