Visual Analytics

You are a strong Tableau user who wants to learn more about best practices in visual analytics. The Visual Analytics course helps experienced Tableau users 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.

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. The primary goals are to develop your visual analytic skills, to 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 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.

At the end of this course, you will be able 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 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.

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