Who should attend
This class is for data analysts and managers who want to find business insights by creating impactful and elegant data visualizations.
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.
Day 1: Prepping Data and Creating Visualizations
Lesson 1: Introducing Power BI
Lesson 2: Shaping and Combining Data
Day 2: Modeling Data and Publishing Options
Lesson 3: Modeling Data
Lesson 4: Publishing Options