Visual Analytics
Discover the science behind the art of visualising data in this example-rich course. You’ll learn which types of visualisations are best suited for different kinds of data, and the most effective ways to display your data insights in Tableau. Just as importantly, you’ll learn to avoid pitfalls that can result in misleading data presentation
NEW! You will be taken to Trailhead Academy for course registration.
This course is available in the Tableau Training Pass. Get 90 days of unlimited virtual live instruction for Tableau Desktop and Tableau Prep.
Who should take this course:
You are an experienced Tableau user who wants to learn more about best practices for displaying information and insights in Tableau. Ideally, you have taken the Tableau Desktop I: Fundamentals and Tableau Desktop II: Intermediate courses, but these are not official prerequisites. This course uses Tableau to develop and discuss visualisations, but does not include instruction on how to use Tableau.
When you complete this course, you will be able to:
- Design visualisations that reduce cognitive load to effectively leverage short-term memory.
- Design visualisations that align with pre-attentive attributes to effectively leverage sensory memory.
- Design visualisations to inform viewers without misleading.
- Effectively use chart types to answer specific questions.
- Design dashboards and stories using visual best practices.
View the full course description in Trailhead Academy.
Prerequisites
Desktop I: Fundamentals and Desktop II: Intermediate are recommended but not required.
What to bring
Students are encouraged to bring in their own data or visualisation examples, but this is not a requirement. We also recommend bringing a notepad, pen or pencil, and a USB drive to save any work.
Course includes
- A course manual containing key concepts on each topic covered
- Trial access to Tableau eLearning to discover self-paced, guided learning paths and earn digital badges (public classroom attendees only)
- This course provides a certification of completion
- Continuing education credit (CPE) hours: 13 or 11.25 depending on the course you select (the 2 days/8 hrs per day option or the 5 days/2.5 hours per day option, respectively)
This course is part of the Designer and Data Scientist learning paths. Find out more.
I've used a lot of what I learned in the Visual Analytics class to revamp my Tableau dashboards and people have noticed the difference! My manager said she didn't know what all I had changed in the reports, but that they look sharper and the layouts and tooltips have really made a difference in understanding the reports.
