Course Length: 3 Days
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. This course may earn a Credly Badge.
Before attending this course, students must have:
You can gain the prerequisites and a better understanding of working with data in Azure by completing Course DP-900T00: Microsoft Azure Data Fundamentals before taking this course.
Before attending this course, students should have an understanding of the following concepts as related to Windows Server technologies:
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.
After completing this course, you will be able to:
1 - Module 1: Get Started with Microsoft Data Analytics
2 - Module 2: Prepare Data in Power BI
3 - Module 3: Clean, Transform, and Load Data in Power BI
4 - Module 4: Design a Data Model in Power BI
5 - Module 5: Create Model Calculations using DAX in Power BI
6 - Module 6: Optimize Model Performance in Power BI
7 - Module 7: Create Reports in Power BI
8 - Module 8: Create Dashboards in Power BI
9 - Module 9: Identify Patterns and Trends in Power BI
10 - Module 10: Create and Manage Workspaces in Power BI
11 - Module 11: Manage Files and Datasets in Power BI
12 - Module 12: Row-level Security in Power BI
Leave us your email address and phone number and one of our team will be in touch to find out a bit more about you and discuss next steps.