The aim of this 2-Day Tableau Visual Analytics 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.

Audience:

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.

Prerequisites:

You should already know how to use Tableau well. Ideally, you have taken the Fundamentals or our unique 3-day 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.

Course Outline:

Module 1: Introduction

  • What is visual analytics?
  • Strengths and weaknesses of the human visual system

Module 2: Laying the Groundwork for Visual Analysis

  • The analytical process
  • Preparing for analysis

Module 3: Visual Mapping Techniques

  • Working with human perceptual and cognitive processes
  • Encoding data into visual form
  • Working with color

Module 4: Solving Real-World Problems

  • Getting a feel for your data
  • Time series analysis
  • Comparing categories and measures
  • Mapping

Module 5: Communicating Your Findings

  • Fine-tuning for more effective visualization
  • Storytelling and guided analytics
  • Dashboards
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