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
Washington United States
Mar 21 - 22 English
Mar 22 - 23 English
Mar 22 - 23 English
Mar 22 - 23 English
Apr 04 - 05 English
Georgia United States
Apr 09 - 10 English
Oregon United States
Apr 11 - 12 English
United Kingdom
Apr 17 - 18 English
Illinois United States
Apr 18 - 19 English
Canberra City
Apr 19 - 20 English

Virtual Classes

Learn anywhere with online courses. Virtual course FAQ

Class times are showing in your time zone ( ).

Date Time Language
Mar 26 - 30
10:00am - 12:30pm EDT English
Apr 09 - 13
10:00am - 12:30pm CEST English
Apr 09 - 13
10:00am - 12:30pm EDT English
Apr 16 - 20
2:00pm - 4:30pm EDT English
Apr 30 - May 04
10:00am - 12:30pm EDT English
May 14 - 18
2:00pm - 4:30pm EDT English
May 28 - Jun 01
10:00am - 12:30pm AEST English
Jun 04 - 08
10:00am - 12:30pm EDT English
Jun 18 - 22
10:00am - 12:30pm CEST English
Jun 18 - 22
2:00pm - 4:30pm EDT English

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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