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Data Visualization: A Practical Approach for Absolute Beginners

About This Course

Data Visualization literacy is fundamental for consuming any analysis in any industry or media – from the news to working in healthcare or not-for-profit budgets and more. As well, the ability to create data visualizations that are compelling, accurate, and tell a story, is becoming a core skill of any job in the 21st Century. This course provides a practical approach to learning the theories and techniques of data visualization for data analysis.

Prerequisites

  • Basic excel skills, beginner-level statistics

What you'll learn

  • Build the most-used and simplest data visualizations and chart types
  • Understand how interaction, design, and the science of visualization enhances basic data visualization artifacts
  • Create basic reports and dashboards for applications in work and life
  • Learn how to avoid common pitfalls, and make visualizations that work

Course Staff

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Pete Harris

Senior Content Developer

Microsoft’s Learning Experiences

Pete Harris is a Senior Content Developer in Microsoft’s Learning Experiences team based in Redmond, WA. He has a diverse background building content that spans Microsoft’s application platform including Microsoft Azure and various data platform services. Pete has been building content for Microsoft since 1995. He continues to meet customers who think he looks familiar from training videos they saw of him in the Mastering Series titles he worked on in the nineties as well as current training on MicrosoftVirtualAcademy.com.

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Ben Olsen

Sr. Content Developer

Microsoft

Ben is a Sr. Content Developer for Microsoft's Learning and Readiness team, and is an analytics professional and educator with over 8 years of industry and managerial experience. Prior to joining Microsoft, Ben ran and directed multiple consulting firms, where he also held critical analytics roles in companies as diverse as Juniper Networks, Costco, and T-Mobile. He has taught Data Visualization at The University of Washington, and recently founded Seattle Pacific University's Analytics Certificate Program.

  1. Course Number

    DAT268x
  2. Classes Start

  3. Classes End

  4. Estimated Effort

    8-12 hours
  5. Price

    Free
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