Classroom Training

Tableau Desktop II: Intermediate

2 days in-person or 5 days virtual

This course is designed to expand your skills and distinguish yourself as a Tableau power user. It’s structured for those who have a working experience with Tableau and want to take it to the next level. You should understand how to build basic worksheets and dashboards, but may scratch your head when working with more complex issues.

See What’s covered | Virtual Course List

Location Date Language
Bangalore
India
Sep 27 - 28 English
Washington
District of Columbia United States
Sep 27 - 28 English
Charlotte
North Carolina United States
Sep 27 - 28 English
New York
New York United States
Sep 27 - 28 English
Toronto
Ontario Canada
Sep 27 - 28 English
Washington
District of Columbia United States
Sep 27 - 28 English
Houston
Texas United States
Sep 27 - 28 English
Seattle
Washington United States
Sep 27 - 28 English
Sydney
New South Wales Australia
Sep 28 - 29 English
Tokyo
Japan
Sep 28 - 29 Japanese


Virtual Classes

Learn anywhere with online courses. Virtual course FAQ

Class times are showing in your time zone ( ).

Date Time Language
Sep 25 - 29
10:00am - 12:30pm EDT English
Oct 02 - 06
10:00am - 12:30pm EDT English
Oct 09 - 13
2:00pm - 4:30pm EDT English
Oct 16 - 20
10:00am - 12:30pm CEST English
Oct 16 - 20
10:00am - 12:30pm EDT English
Oct 23 - 27
10:00am - 12:30pm AEDT English
Oct 23 - 27
2:00pm - 4:30pm EDT English
Oct 30 - Nov 03
10:00am - 12:30pm EDT English
Nov 13 - 17
10:00am - 12:30pm CET English
Nov 13 - 17
10:00am - 12:30pm EST English

Tableau Desktop II: Intermediate:
What we'll cover


You'll learn how to:
  • Build advanced chart types and visualizations.
  • Build complex calculations to manipulate your data.
  • Use statistical techniques to analyze your data.
  • Use parameters and input controls to give users control over certain values.
  • Implement advanced geographic mapping techniques and use custom images and geocoding to build spatial visualizations of non-geographic data.
  • Prep your data for analysis.
  • Combine data sources using data blending.
  • Combine data from multiple tables in the same data source using joins.
  • Make your visualizations perform as well as possible using the Data Engine, extracts, and efficient connection methods.
  • Build better dashboards using techniques for guided analytics, interactive dashboard design, and visual best practices.
  • Implement efficiency tips and tricks.
Full course description (PDF)


More information

Prerequisites
Course includes

This course includes a course manual containing key concepts on each topic covered and hands-on activities to reinforce the skills and knowledge attained. It also includes a digital student resources folder containing Tableau workbooks and data sources to support the hands-on activities.


View our Cancellation Policy (PDF) for details.
Choose the content and timing that suits your organization’s needs and we'll come to you.

You might also be interested in...