“I appreciate the fact that we were able to easily deviate from the book when possible to cover more interesting & advanced topics. [Instructor] is very knowledgeable and honest about BO XI capabilities. Thanks.”
John F, FedEx

“[Instructor] is very knowledgeable in this subject and is able to communicate information in an easy, understandable manner. I look forward to doing the advanced class…”
– Kimberley G, Rogers Wireless

“This instructor gets a 10 out of 10. He is brilliant and has the expertise and teaching methodology that makes this type of course fun and educational. Highly recommend for future courses!!! OUTSTANDING!!!!!!!!!!!”
Attendee, Burger King Corporation

Course Description

You are an experienced Tableau user who wants to learn more about best practices for sharing information and insights. The Visual Analytics course helps Tableau users design visualizations that viewers can easily understand and use.

This course uses Tableau to develop and discuss visualizations, but does not include instruction on how to use Tableau products—we expect that you already know how to navigate and use Tableau.


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.


In this course, you will learn to design visualizations that effectively share information and insights with others. This course will strengthen your understanding of visual best practices.

By the end of this course you will:

  • Design visualizations to effectively leverage sensory and short-term memory
  • Design visualizations to inform viewers without misleading
  • Effectively use chart types to answer specific quesitons
  • Design dashboards and stories using visual best practices


2 Days – Live Classroom/Virtual


Some familiarity with Tableau Desktop

Optional but recommended: Tableau Desktop I & II

Topics Covered

Describe the visual analytics process and it’s advantages

Analyze how memory is used to interpret visualizations
Revise visualizations to reduce cognitive load
Effectively use pre-attentive attributes in visualizations

Identify ways to design visualizations so that they inform without misleading

Identify the most appropriate chart types to answer specific questions
Identify best practices and considerations for a variety of chart types
Effectively use chart types to answer specific questions

Identify visual best practices for dashboard and story design
Describe the process of designing a dashboard or story
Create a dashboard or story using visual best practices

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