Analyzing Data with Power BI Course Outline

• Module 1: Introduction to Self-Service BI Solutions

Introduces business intelligence (BI) and how to self-serve with BI.

Lessons

• • 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.

Lessons

• • 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.

Lessons

• • 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.

Lessons

• • 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.

Lessons

• • 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.

Lessons

• • 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.

Lessons

• • 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.

Lessons

• • 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.

Lessons

• 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.