University of Washington
Power BI Basics: Requirements to Visualizations
University of Washington

Power BI Basics: Requirements to Visualizations

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Master essential tools in Power BI tool

    Data analysis and decision making

    Unlock the art to connect, clean and build data insights

Details to know

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Recently updated!

August 2025

Assessments

10 assignments

Taught in English

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There are 4 modules in this course

Welcome, Coursera online learners! We will first provide introductory content before proceeding to lesson content in this module. We will focus on ensuring you have clear expectations about the course content and structure, and this includes tips on how to prepare for the lessons ahead. The Power BI Desktop app software link, vocabulary guide, and a suggested self-paced course outline are included in this module. We recommend reading through each item and downloading the Power BI Desktop software before you begin your first lesson.

What's included

4 videos6 readings3 assignments2 discussion prompts

For this activity, you'll learn a vital concept in preparing your data, relational data modeling. The learning materials and activities in this lesson will help you understand the fundamental building blocks of a data model, including tables, keys, and relationships. It will also help you understand and make decisions between a star schema and a snowflake schema. You will also walk away with more useful insights that will help you see the impact of what a well-built data model has on the performance of Power BI.

What's included

1 video3 readings2 assignments1 discussion prompt

This week, we’ll get our hands dirty by opening up Power BI and learning how to connect to and clean data.  The learning materials and activities in this lesson will help you understand where, how, and why you might alter your data to provide greater accuracy and performance. You will also review the role of data sources that Power BI can connect to.

What's included

1 video3 readings2 assignments1 discussion prompt

In this module we will move away from the theoretical and on to the practical application of data modeling in Power BI. We’ll create and manage relationships between tables, clean up our models by adding and removing information, and, finally, we’ll start looking at how to enhance our models through basic calculations. After you complete all activities and graded assessments in this lesson, you will complete a final assessment.

What's included

3 videos6 readings3 assignments1 discussion prompt

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Instructor

University of Washington Team
University of Washington
6 Courses2,334 learners

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