General Description
 

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.

Content

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 Measures 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

Prerequisites

Successful Data Analysts start this role with experience of working with data in the cloud.

Specifically:

• 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.

You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals.