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.
Prerequisites:
Successful Data Analysts start this role with experience of working with data in the cloud.
Specifically:
Understanding core data concepts.
Knowledge of working with relational data in the cloud.
Knowledge of working with non-relational data in the cloud.
Knowledge of data analysis and visualization concepts.
You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.
Audience:
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Topics:
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
Introduction to creating measures using DAX in Power BI
Optimize a model for performance in Power BI
Work with Power BI visuals
Create a data-driven story with Power BI reports
Create dashboards in Power BI
Perform analytics in Power BI
Work with AI visuals in Power BI
Create and manage workspaces in Power BI
Manage datasets in Power BI
Implement row-level security
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