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
Chicago
Illinois United States
Jan 30 - 31 English
Washington
District of Columbia United States
Feb 01 - 02 English
Frankfurt
Germany
Feb 09 - 10 English
New York
New York United States
Feb 13 - 14 English
Atlanta
Georgia United States
Feb 15 - 16 English
San Jose
California United States
Feb 15 - 16 English
Canberra City
Australian Capital Territory Australia
Feb 16 - 17 English
Melbourne
Victoria Australia
Feb 21 - 22 English
Toronto
Ontario Canada
Feb 21 - 22 English
Sydney
New South Wales Australia
Feb 23 - 24 English


Virtual Classes

Learn anywhere with online courses. Virtual course FAQ

Class times are showing in your time zone ( ).

Date Time
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
Mar 06 - 10
10:00am - 12:30pm AEDT
Mar 06 - 10
2:00pm - 4:30pm EST
Mar 20 - 24
10:00am - 12:30pm EDT
Apr 03 - 07
2:00pm - 4:30pm EDT
Apr 24 - 28
10:00am - 12:30pm EDT
May 08 - 12
10:00am - 12:30pm 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:
  • 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

Prerequisites

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.
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