Introduction :
This course will discuss 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 also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
Who is the Course For :
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.
Course outline :
- Module 01: Discover Data Analysis
- Module 02: Get started building with Power BI
- Module 03: Get Data in Power BI
- Module 04: Clean, transform, and load data in Power BI
- Module 05: Design a data model in Power BI
- Module 06: Introduction to creating measures using DAX in Power BI
- Module 07: Optimize a model for performance in Power BI
- Module 08: Work with Power BI visuals
- Module 09: Create a data-driven story with Power BI reports
- Module 10: Create dashboards in Power BI
- Module 11: Perform analytics in Power BI
- Module 12: Work with AI visuals in Power BI
- Module 13: Create and manage workspaces in Power BI
- Module 14: Manage datasets in Power BI
- Module 15: Implement row-level security