Chapter 1 Consuming and transforming data by using Power BI Desktop
Skill 1.1: Connect to data sources
Skill 1.2: Perform transformations
Skill 1.3: Cleanse data
Chapter 2 Modeling and visualizing data
Skill 2.1: Create and optimize data models
Skill 2.2: Create calculated columns, calculated tables, and measures
Skill 2.3: Measure performance by using KPIs, gauges, and cards
Skill 2.4: Create hierarchies
Skill 2.5: Create and format interactive visualizations
Skill 2.6: Manage custom reporting solutions
Chapter 3 Configure dashboards, reports, and apps in the Power BI Service
Skill 3.1: Access on-premises data
Skill 3.2: Configure a dashboard
Skill 3.3: Publish and embed reports
Skill 3.4: Configure security for dashboards, reports, and apps
Skill 3.5 Configure apps and apps workspaces

About the Author

Daniil Maslyuk (MCSA: BI Reporting; MCSE: Data Management and Analytics) is a Microsoft business intelligence consultant who specializes in Power BI, Power Query, and Power Pivot; the DAX and M languages; and SQL Server and Azure Analysis Services tabular models. Daniil blogs at xxlbi.com and tweets as @DMaslyuk.

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About the Author