PL-300T00: Microsoft Power BI Data Analyst


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Length: 3 day (24 hours)

 

This course covers 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 show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution

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

Prior to taking this course, students should have:
- Understanding of 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 the course
Microsoft Azure Data Fundamentals before taking this course.

Start with the customer – find out what they want and give it to them.

​Course objectives​Course outlines

Course objectives

After completing this course, students will be able to:

  • Learn how Power BI services and applications work together 
  • Explore how Power BI can make your business more efficient 
  • Learn how to create compelling visuals and reports 
  • Get date from external sources 
  • Fix performance issues 
  • Resolve data import errors 
  • Apply data shape transformations to table structures 
  • Combine queries 
  • Create common date tables 
  • Configure many-to-many relationships 
  • Resolve circular relationships 
  • Design star schemas 
  • Describe similarities of, and differences between, a calculated column and a measure 
  • Add a date table to your model by using DAX calculations 
  • Optimize DirectQuery models with table level storage. 
  • Design reports 
  • Perform analytics 
  • Create dashboards 
  • Implement row-level security

Course outlines

  • DISCOVER DATA ANALYTICS
  • GET STARTED BUILDING WITH POWER BI
  • GET DATA IN POWER BI
  • CLEAN, TRANSFORM, AND LOAD DATA IN POWER BI
  • DESIGN A DATA MODEL IN POWER BI
  • ADD MEASURES TO POWER BI DESKTOP MODELS
  • ADD CALCULATED TABLES AND COLUMNS TO POWER BI DESKTOP MODELS
  • USE DAX TIME INTELLIGENCE FUNCTIONS IN POWER BI DESKTOP MODELS
  • OPTIMIZE A MODEL FOR PERFORMANCE IN POWER BI
  • DESIGN POWER BI REPORTS
  • CONFIGURE POWER BI REPORT FILTERS
  • ENHANCE POWER BI REPORT DESIGNS FOR THE USER EXPERIENCE
  • PERFORM ANALYTICS IN POWER BI
  • CREATE AND MANAGE WORKSPACES IN POWER BI
  • MANAGE DATASETS IN POWER BI
  • CREATE DASHBOARDS IN POWER BI
  • IMPLEMENT ROW-LEVEL SECURITY

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