IL - MOC 20778: Analyzing Data with Power BI

Course Overview

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

Course Details
  • Duration: 2 days
  • Level: 300

Who this course is designed for
  • Business analysts
  • Business intelligence developers
  • SQL professionals

What You Will Learn

  • 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


  • 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)

Course Outline

Module 1: Introduction to Self-Service BI Solutions
Introduces business intelligence (BI) and how to self-serve with BI.

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

Module 2: Introducing Power BI 
This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.

Power BI
The Power BI service

Module 3: Power BI 
At the end of this module students will be able to explain the rationale and advantages of using Power BI.
Using Excel as a data source for Power BI
The Power BI data model
Using databases as a data source for Power BI
The Power BI service

Module 4: Shaping and Combining Data
With Power BI desktop you can shape and combine data with powerful, buil-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.

Power BI desktop queries
Shaping data
Combining data

Module 5: Modeling data
This module describes how to shape and enhance data.

DAX queries
Calculations and measures

Module 6: Interactive Data Visualizations
This module describes how to create and manage interactive data visualizations.

Creating Power BI reports
Managing a Power BI solution

Module 7: Direct Connectivity
This module describes various connectivity options using Power BI.
Cloud data
Connecting to analysis services

Module 8: The Developer API
This module describes the developer API within Power BI.

The developer API
Custom visuals

Module 9: Power BI mobile app
This module describes the Power BI mobile app.

Power BI mobile apps
Using the Power BI mobile app
Power BI embedded;

Contact the experts at Opsgility to schedule this class at your location or to discuss a more comprehensive readiness solution for your organization. Contact us to enroll or book a class

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