Tableau Desktop III: Advanced

Make your Tableau charts and dashboards more innovative and able to support complex data analysis. Explore scenario-based data visualisation challenges to acquire greater proficiency with calculations and to learn advanced chart techniques.

Live virtual classes |eLearning

NEW! You will be taken to Trailhead Academy for live virtual 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?:

This course is designed for intermediate Tableau users who have completed Tableau Desktop I: Fundamentals and Tableau Desktop II: Intermediate or have at least six months of product experience. You should have proficiency in creating calculations, visualisations and interactive dashboards. Bring a desire to learn advanced techniques to apply to your visualisations and dashboards in Tableau.

 

When you complete this course, you will be able to:
  • Apply advanced calculations to gain additional insight into your data
  • Incorporate advanced chart types into your analysis
  • Apply advanced dashboarding techniques
  • Use calculations, parameters and table calculations together.
  • Use Tableau techniques to address common use case scenarios.
  • Format your visualisations and dashboards for maximum impact

View the full course description in Trailhead Academy.

Prerequisites
Course includes
  • A course manual containing key concepts on each topic covered and hands-on activities to reinforce the skills and knowledge attained
  • A digital student resources folder containing Tableau workbooks and data sources to support the hands-on activities
  • 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 Analyst and Data Scientist learning paths. Find out more.