Microsoft Power BI is a business intelligence and data visualization tool that allows users to connect to various data sources, transform and clean the data, create visualizations, and share insights with others.

Microsoft Power BI course structure includes the following topics:

1. Introduction to Power BI and its features
2. Connecting to data sources (such as Excel, SQL Server, and cloud-based data)
3. Data transformation and cleaning using the Power Query Editor
4. Creating visualizations (such as charts, tables, and maps)
5. Customizing visualizations and creating interactive dashboards
6. Sharing and publishing reports
7. Advanced features such as calculated columns, measures, and DAX formulas
8. Data modeling and relationships
9. Using Power BI with other Microsoft tools such as Excel and SharePoint
10. Best practices for data visualization and storytelling with Power BI
11. Using Power BI Desktop and Power BI Service together
12. Creating custom visuals and using the Power BI API
13. Using Power BI for data governance, data lineage, and data quality
14. Integrating Power BI with other Microsoft products and services such as Power Automate and PowerApps
15. Implementing Row-level security and using Power BI with Azure AD
16. Creating and using Power BI Templates
17. Using Power BI with Power BI Report Server
18. Creating and publishing Power BI reports to web portals and apps
19. Best practices for creating and publishing Power BI reports
20. Tips and tricks for Power BI performance optimization
21. Creating and using Power BI Custom connectors
22. Using Power BI with Power Platform 
    This is not an exhaustive list, but it should give you a good idea of the breadth of topics that can be covered in a more advanced Power BI course.