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.

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.

• Understanding of core data concepts
• Knowledge of working with relational and non-relational data
• Knowledge of data analysis and visualization concepts

You can gain the prerequisites and get a better understanding of working with data by completing the DP-900: Microsoft Azure Data Fundamentals before taking this course.

Module 1. Get Started with Microsoft Data Analytics

Module 2. Prepare Data in Power BI

Module 3. Clean, Transform, and Load Data in Power BI

Module 4. Design a Data Model in Power BI

Module 5. Create Model Calculations using DAX in Power BI

Module 6. Optimize Model Performance in Power BI

Module 7. Create Reports in Power BI

Module 8. Create Dashboards in Power BI

Module 9. Enhance reports for usability and storytelling in Power BI

Module 10. Perform Advanced Analytics in Power BI

Module 11. Manage Datasets in Power BI

Module 12. Create and Manage Workspaces in Power BI