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Analyzing Data with Power BI: On-Demand


Business Intelligence: Microsoft’s Power BI

Learn to analyze data with Microsoft’s Power BI. Power BI is a suite of business analytics tools you can use to analyze data and share insights. Monitor your business and get answers quickly with rich dashboards available on every device. Power BI transforms your company’s data into rich visuals you can collect and organize so you can focus on what matters to you.

You will learn 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.
Microsoft on Demand learning available from MAX Technical Training

Microsoft On-Demand

This is a Microsoft On-Demand Course (MOC On-Demand). MOC On-Demand is an integrated on-line training experience that includes video, hands-on labs, exercises, text and knowledge checks. Attendees experience all of this through an on-demand course player.

  • The content is based on the same official courseware we use in our instructor-led training.
  • The videos feature engaging experts hand-selected by Microsoft.
  • MOC On-Demand gives you a live, real-time environment for hands-on training – much better than other on demand offerings that offer simulated labs.

All MOC On-Demand courses are available for 90 days. As a participant you will use Office 365 to complete your lab work. If needed, you can use the trial for Office 365 which lasts for 30 days from when the trial is activated. It is recommended that you use the trial of Office 365  and plan your lab work accordingly. The labs provide instructions on how to register for this account.

What’s included?

  • Access to the official Microsoft Video on Demand Course for 90 days from the point of first access, allowing you to start and stop when you need to.
  • Hands-On, Live Lab access for 90 days from start of access.
  • Digital Microsoft Official Curriculum (dMOC)



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 

Lab : Exploring an Enterprise BI solution

  • Viewing reports
  • Creating a Power BI report
  • Creating a Power BI dashboard

After completing this module, students will be able to:

  • Describe the trends in BI
  • Describe the process of data analysis in Power BI.
  • Use the key visualizations in Power BI.
  • Describe the rationale for self-service BI.
  • Describe considerations for self-service BI.
  • Understand how you can use Microsoft products to implement a BI solution.

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 

Lab : Creating a Power BI dashboard

  • Connecting to Power BI data
  • Create a Power BI dashboard

After completing this module, students will be able to:

  • Develop reports using the Power BI Desktop app.
  • Use report items to create dashboards on the Power BI portal.
  • Understand the components of the Power BI service including licensing and tenant management.

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 

Lab : Importing data into Power BI

  • Importing Excel files into Power BI
  • Viewing reports from Excel files

After completing this module, students will be able to:

  • Describe the data model and know how to optimize data within the model.
  • Connect to Excel files and import data
  • Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector
  • Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups.

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 

Lab : Shaping and combining data

  • Shape power BI data
  • Combine Power BI data

After completing this module, students will be able to:

  • Perform a range of query editing skills in Power BI
  • Shape data, using formatting and transformations.
  • Combine data together from tables in your dataset.

Module 5: Modeling data 

This module describes how to shape and enhance data.


  • Relationships
  • DAX queries
  • Calculations and measures 

Lab : Modeling Data

  • Create relationships
  • Calculations

After completing this module, students will be able to:

  • Describe relationships between data tables.
  • Understand the DAX syntax, and use DAX functions to enhance your dataset.
  • Create calculated columns, calculated tables 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 

Lab : Creating a Power BI report

  • Connecting to Power BI data
  • Building Power BI reports
  • Creating a Power BI dashboard

After completing this module, students will be able to:

  • Use Power Bi desktop to create interactive data visualizations.
  • Manage a power BI solution. 

Module 7: Direct Connectivity 

This module describes various connectivity options using Power BI.


  • Cloud data
  • Connecting to analysis services 

Lab : Direct Connectivity

  • Direct connectivity from Power BI desktop
  • Direct connectivity from the Power BI service

After completing this module, students will be able to:

  • Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop
  • Use Power BI with SQL Server Analysis Services data, including Analysis services modles running in multidimentional mode.

Module 8: The Developer API 

This module describes the developer API within Power BI.


  • The developer API
  • Custom visuals 

Lab : Using the developer API

  • Using custom visuals

After completing this module, students will be able to:

  • Describe the developer API.
  • Use the developer API to create 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

After completing this module, students will be able to:

  • Describe the Power BI mobile app.
  • Download and use the Power BI mobile app.
  • Describe Power BI embedded and when you would want to use it.


Before attending this course, students must have:

  • Excellent knowledge of relational databases and reporting.
  • 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.


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

$895.00 List Price

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