Course

Manage Workspaces and Semantic Models in Power BI

In this course, you’ll learn how to create workspaces in Power BI to share reports with multiple audiences, such as your direct team or a larger organization.

Enroll for free

Part of the Data Analysis in Power BI, and Business Analyst (Power BI) paths.

4.8 (359 reviews)

1,505 learners enrolled in this course.

Beginner friendly
10 hours
Self paced
5 lessons
1 project

“I can’t believe how easily and clearly complex material is presented on Dataquest. Even beginners can learn on Dataquest.”

Viktoria Jorayeva

Business Analyst @Fractal

Manage Workspaces and Semantic Models in Power BI

Enroll For Free

Course overview

A workspace is a space where you can collaborate with others to create collections of reports and dashboards.In this course, you’ll learn how to create workspaces in the Power BI service, how to deploy Power BI artifacts to the service, how to share them with other users, and how to connect Power BI reports to on-premises data sources.

By the end of this course, you’ll be able to use workspaces to house reports and dashboards for collaboration across multiple teams; use share and present reports and dashboards in a single environment; and maintain security by controlling who can access semantic models, reports, and dashboards.

Key skills

Creating and managing a workspace in Power BI
Configuring data protection in a Power BI workspace
Creating dynamic reports with parameters
Implementing static and dynamic row-level security

Course outline

Manage Workspaces and Semantic Models in Power BI [5 lessons]

Create and Manage Workspaces in Power BI - I 2h

Lesson Objectives

Create and manage a workspace in Power BI
Import and update assets in a Power BI workspace
Assign workspace roles
Monitor workspace useage and performance

Create and Manage Workspaces in Power BI - II 2h

Lesson Objectives

Recommend a development life cycle strategy
Configure data protection in a Power BI workspace
Troubleshoot data issues with data lineage

Manage Semantic Models in Power BI 2h

Lesson Objectives

Create dynamic reports with parameters
Create what-if parameters
Use a Power BI gateway to connect to on-premises data sources
Configure a scheduled refresh for a semantic model
Configure incremental refresh settings

Implement Row-Level Security 2h

Lesson Objectives

Implement static row-level security
Implement dynamic row-level security

Guided Project: Building a BI App 1h

Lesson Objectives

Create reports and dashboards in Power BI
Create and publish a Power BI app
Make a recommendation based on data

Projects in this course

Building a BI App

For this project, you’ll act as a business intelligence analyst at Dataquest to build a Power BI app that analyzes course quality data, including completion rates and NPS scores, to recommend improvements.

View Project

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.

Grow your career with
Dataquest.

98%

of learners recommend

Dataquest for career advancement

4.85

Dataquest rating

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$30k

Average salary boost

for learners who complete a path

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.”

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 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!”