Power BI

Who should attend

This class is for data analysts and managers who want to find business insights by creating impactful and elegant data visualizations.

Team Pass by Learnit

Power BI

From $0
Two, 2-hour Modules (9am - 11:30am PT)

Are your usual pie charts getting yawns in meetings? Power BI, like its competitor Tableau, is Microsoft’s software for building sophisticated “data visualizations”: elegant and often interactive graphical representations of your data – beyond what you can find in Excel or even Crystal Reports. In this class we’ll show you how to navigate the software so you can build and publish the kind of data-based reports that will get the office talking.

Prepping Data. After we’ve shown you the basic navigation and main areas of Power BI, we’ll cover how to import your data and clean it up. You can get data from multiple sources: Excel, SQL Server, XML and online services like Azure and Google Analytics. You can even combine tables from different sources by designating “join” relationships between them. Along the way we’ll show you how to set cleanup rules for any messiness in your imported data.

Different Visualizations. Once your data is ready, you’ll learn how to create stunning visualizations from it: bubble charts, heat maps, geographic shape maps, and more. You’ll learn how to publish them as standalone documents to bring to your next meeting.

Extending Data. In addition to simple data cleanup, Power BI offers tools to shape and combine data, including Power Query and Data Analysis Expressions (DAX), a toolkit of functions and formulas to return calculated values. This lets you incorporate key business summary data into your visualizations.

Publishing Options. Once your visualization is perfected, you can share it with others online by posting it to Office 365 or the Power BI mobile app. You’ll also learn how to embed reports into web pages, or post them to SharePoint or MS Teams. Finally, we’ll show you how to build interactive dashboard reports to combine your different data visualizations.

Course ID
L0049
Available times
June 17 & June 18, 2021
9:00am-11:30am
June 17 & June 18, 2021
9:00am-11:30am
June 17 & June 18, 2021
9:00am-11:30am
June 17 & June 18, 2021
9:00am-11:30am
June 17, 2021
9:00am-11:30am
June 17, 2021
9:00am-11:30am
June 17, 2021
9:00am-11:30am
June 17, 2021
9:00am-11:30am
June 17, 2021
9:00am-11:30am

Course Outline

Day 1: Prepping Data and Creating Visualizations

Learning Outcomes:

  1. Import well-formed data into Power BI Desktop
  2. Build reports with stunning visuals
  3. Publish a report to the Power BI service on Office 365
  4. Create and edit query steps in Power Query
  5. Learn basic data transformation tools
  6. Combine data from different data sources and tables

Lesson 1: Introducing Power BI 

  • Navigating the Interface
  • Power BI Web Services
  • Building a Report Using Excel Data
  • Publishing and Sharing Power BI Reports

Lesson 2: Shaping and Combining Data

  • Importing from Multiple Data Sources
  • Using Power Query
  • Shaping, Transforming and Combining Data
  • Producing Reports Using your Data Transformations

Day 2: Modeling Data and Publishing Options

Learning Outcomes: 

  1. Understand the need for table relationships
  2. Discover and build DAX functions that enhance your dataset
  3. Learn to build calculated columns, tables and measures
  4. Create Interactive Power BI Dashboards
  5. Discover the Power BI mobile app
  6. Understand how to embed Power BI reports into other media

Lesson 3: Modeling Data 

  • Establishing Table Relationships
  • Writing DAX (Data Analysis Expressions)
  • Building Custom Calculated Columns
  • Building Custom Data Measures
  • Incorporating your Custom Columns and Measures in Reports 

Lesson 4: Publishing Options

  • Overview of Power BI Web Service Capabilities
  • Building a Web Service Dashboard
  • Sharing your Dashboards
  • Installing and Using the Power BI Mobile App
  • Embedding Reports in Web Pages
  • Publishing Reports to MS SharePoint and MS Teams 

Skills covered

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Power BI

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