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This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.
Successful Data Analysts start this role with experience of working with data in the cloud.
You can gain the prerequisites and a better understanding of working with data in Azure by completing the course DP-900T00 - Microsoft Azure Data Fundamentals before taking this course.
Discover data analysis
Get started building with Power BI
Get data in Power BI
Clean, transform, and load data in Power BI
Design a data model in Power BI
Add measures to Power BI Desktop models
Add calculated tables and columns to Power BI Desktop models
Use DAX time intelligence functions in Power BI Desktop models
Optimize a model for performance in Power BI
Design Power BI reports
Configure Power BI report filters
Enhance Power BI report designs for the user experience
Perform analytics in Power BI
Create and manage workspaces in Power BI
Manage datasets in Power BI
Create dashboards in Power BI
Implement row-level security