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.
| Audience(s): | Data Analyst |
| Technology: | Power BI |
| Duration: | 24 hours |
Module 1: Introduction to Microsoft Data Analytics
Module 2: Getting data into Power BI
Module 3: Clean, transform, and load data into 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: Identify patterns and trends in Power BI
Module 10: Create and manage workspaces in Power BI
Module 11: Manage files and data sets in Power BI
Module 12: Row-level security in Power BI
Module 11: Create and Manage Workspaces
Module 12: Manage Data Sets in Power BI
Module 13: Row-Level Security
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