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.
Prerequisites
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course.
Intended Audience
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.
Topics
Get Started with Microsoft Data Analytics
Prepare Data in Power BI
Clean, Transform, and Load Data in Power BI
Design a Data Model in Power BI
Create Measures using DAX in Power BI
Optimize Model Performance
Create Reports
Create Dashboards
Create Paginated Reports in Power BI
Perform Advanced Analytics
Create and Manage Workspaces
Manage Datasets in Power BI
Row-level security
Other Trainings
SQL Server
22 Training Set
