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.
- 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.
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
Module 7: Create Reports
Module 8: Create Dashboards
Module 9: Create Paginated Reports in Power BI
Module 10: Perform Advanced Analytics
Module 11: Create and Manage Workspaces
Module 12: Manage Datasets in Power BI
Module 13: Row-level security