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MS10989 - Analyzing Data with Power BI (MS10989)

  • Overview
  • Who Should Attend
  • Certifications
  • Prerequisites
  • Objectives
  • Content
  • Schedule
Course Overview

Duration : 2 Days

This two-day instructor-led course provides students with the knowledge and skills analyze data with Power BI.

Who Should Attend

  • The primary audience for this course is BI professionals who need to analyze data utilizing Power BI. 

  • The secondary audiences for this course are technically proficient business users.

Course Certifications

This course is part of the following Certifications:


This course requires that you meet the following prerequisites: 

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.

  • Basic knowledge of data warehouse schema topology (including star and snowflake schemas). 

  • Some exposure to basic programming concepts (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 

  • 20761A – Querying Data with Transact-SQL 

  • 20767A -  Implementing a SQL Server Data Warehouse

Course Objectives

After completing this course, students will be able to: 

  • Describe key features of a self-service BI solution

  • Describe Power BI and its data sources

  • Model, shape, and combine data

  • Describe Power BI data visualizations

Course Content

Module 1 : Introduction to Self-Service BI Solutions

In this module students will be introduced to the key cocepts in business intelligence, data anlaysis, and data virtualization. In additon they will learn the rationale for self-service BI, considerations for using 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 busines intelligence 
  • Introduction to data analysis
  • Introduction to data virtualization
  • Overiview of aelf-service BI
  • Considerations of self-service BI
  • Microsoft tools for self-service BI

Lab : Exploring an enterprise BI solution 

After completing this module , you will be able to :

  • Describe key concepts in business intelligence 
  • Describe key concepts in data analysis
  • Describe key concepts in data virtualization
  • Describe the rationale for self-service BI
  • Describe considerations for self-service BI
  • Describe how Microsoft products can be used to implement a self-service 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 

After completing this module , you will be able to :

  • Describe Power BI
  • Describe the Power BI Service
  • Implement Tenant Management
  • Describe Power BI mobile apps
  • Create a simple dashboard


Module 3: Power BI Data 

This module describes Power BII data sources 


  • Using Excel as a Power BI data source 
  • Using database as a Power BI data source
  • The power BI service

Lab : Import data into Power BI

After completing this module, you will be able to :

  • Use excel as a Power BI source
  • Use databases as a Power BI data source and describe the R language
  • Configure the Power BI Service 


Module 4 : Shaping and Combining Data 

This module describe how to shape and combine data 


  • Power BI desktop queries 
  • Shaping data 
  • Combining data

Lab : Shaping and combining data

After completing this module , you will be able to :

  • Create Power BI desktop queries
  • Shape data 
  • Combine data


Module 5 : Modelling Data 

This module describes how to model data in Power BI 


  • Relationships
  • DAX queries 
  • Calculations and measures

Lab : Modelling data 

After completing this module , you will be able to :

  • Configure the Power BI Service
  • Create Relationships
  • Write simple DAX queries
  • Create calculations and measures 


Module 6 : Interactive Data Virtualizations

This module describes Power BI visualizations


  • Creating Power BI reports 
  • Managing a Power BI solution

Lab : Creating a Power BI report

After completing this module , you will be able to :

  • Use Power BI Desktop to create interactive data visualizations
  • Describe the management of a Power BI solution


Course ID: MS10989

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