Audience: 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.

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.

Course Includes: This course includes a student manual containing key concepts on each topic covered and hands-on activities to reinforce the skills and knowledge attained. It also includes Tableau workbooks for practice discussions and hands-on activities.

What to Bring: Students are encouraged to bring in their own data or visualization examples, but this is not a requirement.We also recommend bringing a notepad, pen or pencil, and a USB drive to save any work.

Format and Procedures: We use a combination of traditional teaching methods (lecture, class discussion) and in-class activities.

Learning Objectives: The aim of this course is to strengthen your analytical skills and gain an understanding of visualization best practices. You will become a better analyst, designer, and communicator. At the end of this class, the student will be able to:

  • Design visualizations to effectively leverage sensory and short-term memory.
  • Design visualizations to inform viewers without misleading.

  • Effectively use chart types to answer specific questions.

  • Design dashboards and stories using visual best practices.

Full course description

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