Power BI Data Analyst (PL-300) Associate Cert Prep: Manage Workspaces on Power BI
51mIntermediate2023-06-23
Authors

Joshua Rischin
Company Director of Axium Solutions
Course details
The Power BI Data Analyst Associate certification is intended for data professionals who leverage Microsoft's Power BI data visualization tool. This course helps you prepare for the section of the PL-300 certification exam that deals with managing workspaces in Power BI. Instructor Joshua Rischin starts with the basics, providing an intro to workspace basics and showing you how to configure workspace settings and customize workspace roles. He then explains how to configure workspace assets—how to import and configure existing content, create dashboards, and package your content as a workspace app. Learn about configuring content value, including what sensitivity labels are and how to apply them to workspace assets, and how to configure workspace content endorsement. Joshua finishes with a chapter exploring how to get even more from Power BI workspaces, giving you superior control over your data-driven assets.
Skills covered
Power BIBusiness AnalyticsBusiness IntelligenceData AnalysisCert PrepData ScienceBusiness Analysis and StrategyBusiness Software and ToolsMicrosoft
Concepts
0. Introduction
- 01 - Power BI workspaces made simple
- 02 - Getting to know the Power BI service
1. Understanding Workspaces
- 03 - Getting started with workspaces
- 04 - Configure workspace settings
- 05 - Customize workspace roles
2. Configuring Workspace Assets
- 06 - Getting started with workspace assets
- 07 - Import and configure workspace assets
- 08 - Create dashboards
- 09 - Create even more workspace assets
- 10 - Distribute your workspace assets
- 11 - Create and configure a workspace app
3. Configuring Content Value
- 12 - Get familiar with content sensitivity labels
- 13 - Configure workspace content endorsement
4. Doing More with Workspaces
- 14 - Establish alerts and subscriptions
- 15 - Navigate workspace usage metrics
- 16 - Working with lineage view
- 17 - Deep dive using Analyze in Excel
Conclusion
- 18 - Next steps - Power BI workspaces