Tableau Visual Analytics Training

Training Summary
The aim of this Tableau training course is to add to your visual analysis toolbox. You will strengthen your analytical skills and gain an understanding of visualization best practices. You will become a better analyst, designer, and communicator. 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. This course includes a workbook containing key concepts on each topic covered and hands-on activities to reinforce the skills and knowledge attained. It also includes a flash drive containing Tableau workbooks and data sources to support the hands-on activities. What to Bring Please bring three examples of visualizations you’ve created in the past. These examples don’t have to be complex, just something you’ve actually used or presented. Any format (.twbx, .twb, image) is fine.
Before taking this course, you should already know how to use Tableau well. Ideally, you have taken the Fundamentals or the Tableau Desktop Bootcamp I 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.
2 Days/Lecture & Lab
This course is designed for 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.
Course Topics
  • Laying the Groundwork for Visual Analysis
  • Visual Mapping Techniques
  • Solving Real-World Problems
  • Communicating Your Findings

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