Classroom Training

Visual Analytics

2 days in-person or 5 days virtual

Learn best practices for sharing information and insights with others. The Visual Analytics course helps you design visualizations that others can easily understand and use.

See What’s covered | Virtual Course List

Location Date Language
United Kingdom
Aug 22 - 23 English
Georgia United States
Aug 23 - 24 English
Texas United States
Aug 23 - 24 English
Canberra City
Australian Capital Territory Australia
Aug 29 - 30 English
Victoria Australia
Aug 29 - 30 English
San Jose
California United States
Aug 30 - 31 English
Sep 05 - 06 English
Sep 05 - 06 German
New Zealand
Sep 07 - 08 English
Sep 07 - 08 English

Virtual Classes

Learn anywhere with online courses. Virtual course FAQ

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Date Time
Aug 28 - Sep 01
2:00pm - 4:30pm EDT
Sep 11 - 15
10:00am - 12:30pm CEST
Sep 11 - 15
10:00am - 12:30pm EDT
Sep 25 - 29
2:00pm - 4:30pm EDT

I've used a lot of what I learned in the Visual Analytics class to revamp my Tableau dashboards and people have noticed the difference! My manager said she didn't know what all I had changed in the reports, but that they look sharper and the layouts and tooltips have really made a difference in understanding the reports.

Visual Analytics:
What we'll cover

Develop your visual analytic skills, engage in active planning for elegant visual design, implement dashboards that reflect best practices, answer your data questions, and best communicate answers to your intended audience.

You'll learn how to:
  • Design visualizations to effectively leverage sensory and short-term memory.
  • Design visualizations to inform viewers without misleading.
  • Effectively use chart types to answer specific questions.
  • Design dashboards and stories using visual best practices.
Full course description PDF

More information


You should already know how to use Tableau well. Ideally, you have taken Desktop I: Fundamentals and Desktop II: Intermediate courses, but this is not an official prerequisite. Be aware that we won't introduce you to product features or walk you through step-by-step instructions.

What to Bring

Students are encouraged to bring in their own data or visualization examples, but this is not a requirement. We also recommend bringing a notepad, pen or pencil, and a USB drive to save any work.

View our Cancellation Policy (PDF) for details.
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