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M20778 Analyzing Data with Power BI

The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

Audience profile

The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data. At course completion


Learning Objectives

  • After completing this course, students will be able to:
    •   Perform Power BI desktop data transformation.
    •   Describe Power BI desktop modelling.
    •   Create a Power BI desktop visualization.
    •   Implement the Power BI service.
    •   Describe how to connect to Excel data.
    •   Describe how to collaborate with Power BI data.
    •   Connect directly to data stores.
    •   Describe the Power BI developer API.
    •   Describe the Power BI mobile app.


  • Before attending this course, students must have:
    •   Some basic knowledge of data warehouse schema topology (including star and snowflake schemas)
    •   Some exposure to basic programming constructs (such as looping and branching)
    •   An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
    •   Familiarity with Microsoft Office applications – particularly Excel

These prerequisites can be achieved by attending courses

Querying Data with Transact-SQL

Implementing a SQL Server Data Warehouse

Course Content

Module 1: Introduction to Self-Service BI Solutions
In this module students will be introduced to the key concepts in business intelligence, data analysis, and data visualization. In addition they will learn the rationale for self-service BI, considerations for using self-service BI, and how Microsoft products can be used to implement a self-service BI solution.


  • Introduction to business intelligence
  • Introduction to data analysis
  • Introduction to data visualization
  • Overview of self-service BI
  • Considerations of self-service BI
  • Microsoft tools for self-service BI

Lab : Exploring an enterprise BI solution

Module 2: Introducing Power BI
This module introduces Power BI.


  • Power BI
  • The Power BI service
  • Power BI mobile apps

Lab : Cresting a Power BI dashboard

Module 3: Power BI Data
This module describes Power BI data sources.


  • Using Excel as a Power BI data source
  • Using databases as a Power BI data source
  • The Power BI service

Lab : Import data into Power BI

Module 4: Shaping and Combining Data
This module describes how to shape and combine data.


  • Power BI desktop queries
  • Shaping data
  • Combining data

Lab : Shaping and combining data

Module 5: Modelling Data
This module describes how to model data in Power BI.


  • Relationships
  • DAX queries
  • Calculations and measures

Lab : Modelling data

Module 6: Interactive Data Visualizations
This module describes Power BI visualizations.


  • Creating Power BI reports
  • Managing a Power BI solution

Lab : Creating a Power BI report

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Virtual Classroom

Virtual classrooms provide all the benefits of attending a classroom course without the need to arrange travel and accomodation. Please note that virtual courses are attended in real-time, commencing on a specified date.

Virtual Course Dates

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