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
Seattle
Washington United States
Jun 01 - 02 English
Melbourne
Victoria Australia
Jun 06 - 07 English
Chicago
Illinois United States
Jun 07 - 08 English
Washington
District of Columbia United States
Jun 14 - 15 English
Ottawa
Ontario Canada
Jun 14 - 15 English
Perth
Western Australia Australia
Jun 15 - 16 English
London
United Kingdom
Jun 15 - 16 English
Jun 19 - 23 English
Seattle
Washington United States
Jun 19 - 20 English
Amsterdam
Netherlands
Jun 22 - 23 English


Virtual Classes

Learn anywhere with online courses. Virtual course FAQ

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Date Time
Jun 05 - 09
2:00pm - 4:30pm EDT
Jun 19 - 23
10:00am - 12:30pm EDT
Jul 10 - 14
10:00am - 12:30pm EDT
Jul 17 - 21
10:00am - 12:30pm CEST
Jul 24 - 28
2:00am - 4:30am EDT
Aug 07 - 11
10:00am - 12:30pm AEST
Aug 14 - 18
10:00am - 12:30pm EDT
Aug 28 - Sep 01
2:00am - 4:30am EDT
Sep 11 - 15
10:00am - 12:30pm CEST
Sep 11 - 15
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 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. 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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