Classroom Training

Visual Analytics

2 days in-person or 5 days virtual

Connect the science of data visualization to the principles of visual best practices. In this course, you will also learn how to leverage research on human perception to create Tableau visualizations that truly help people see and understand data.

See What’s covered | Virtual Course List

Location Date Language
New York
New York United States
Nov. 02 - 03 English
District of Columbia United States
Nov. 02 - 03 English
United Kingdom
Nov. 24 - 25 English
San Jose
California United States
Nov. 30 - Dec. 01 English
New South Wales Australia
Dec. 01 - 02 English
Dec. 01 - 02 English
District of Columbia United States
Dec. 05 - 06 English
Dec. 06 - 07 English
Georgia United States
Dec. 07 - 08 English
Ontario Canada
Dec. 07 - 08 English

Virtual Classes

Learn anywhere with online courses. Virtual course FAQ

Class times are showing in your time zone ( ).

Date Time
Oct. 31 - Nov. 04
10:00am - 12:30pm AEDT
Nov. 14 - 18
10:00am - 12:30pm CET
Dec. 12 - 16
10:00am - 12:30pm EST
Dec. 19 - 23
2:00pm - 4:30pm EST
Jan. 09 - 13
10:00am - 12:30pm EST
Jan. 23 - 27
2:00pm - 4:30pm EST
Jan. 30 - Feb. 03
10:00am - 12:30pm CET
Jan. 30 - Feb. 03
2:00pm - 4:30pm EST
Feb. 13 - 17
10:00am - 12:30pm EST
Feb. 27 - Mar. 03
10:00am - 12:30pm CET

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:
  • Describe the history, theory, and science behind data visualization, and how all this is built into Tableau’s DNA.
  • Engage in the data analysis process including everything from planning your line of questioning to reviewing and communicating your findings.
  • Use some basic principles of human visual perception and cognition in your chart design.
  • Critique charts and dashboards and offer suggestions for improvement
Full course description PDF

More information


You should already know how to use Tableau well. Ideally, you have taken Fundamentals and Advanced 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. These examples don’t have to be complex, just something you’ve actually used or presented. Any format (.twbx, .twb, image) is fine.

View our Cancellation Policy (PDF) for details.
Choose the content and timing that suits your organization’s needs and we'll come to you.