Skip to main content

Training events

Tableau training events

Join our Tableau Users Group in Outlook to be informed of future sessions.

Tableau practice session – Feb. 15, 2024

When: Thursday, Feb. 15
10-11:30 a.m.

This is your opportunity to learn more about about the process of developing Tableau reports and dashboards with Self Service Analytics.:

  • ABCs of dashboard development
  • Establishing a Tableau workbook
  • Creating a line graph
  • Creating a pie chart
  • Building a dashboard

For your convenience, the session will be recorded.

Tableau practice session – Feb. 29, 2024

When: Thursday, Feb. 29
10-11:30 a.m.

This is your opportunity to learn more about about the process of developing Tableau reports and dashboards with Self Service Analytics.:

  • Amending a Tableau workbook
  • Generating a map
  • Creating calculated fields
  • Implementing parameters
  • Building an intermediate dashboard

For your convenience, the session will be recorded.

View previous sessions

Tableau Q&A session – January 2024

When: Wednesday, Jan. 17
10-11 a.m.

This is your opportunity to learn more about Tableau at Rutgers:

  • How can I use Tableau to improve efficiency for my team?
  • What are the standard components of Tableau dashboards?
  • What common Tableau pitfalls should I avoid?
  • Submit additional questions when you register.

For your convenience, the session will be recorded.

Tableau Q&A session 

When: Dec. 14, 2023, 1:30-2:30 p.m.

  • When should I request Managed Reports?
  • How is the Tableau environment structured?
  • What are some things I can do to improve my dashboards?

Tableau practice session 

When: Nov. 8, 2023 10:30 a.m.-noon

  • Establishing a Tableau workbook
  • Creating a line graph
  • Creating a bar chart
  • Creating a pie chart
  • Building a dashboard

Tableau Q&A session

When: Aug. 16, 2023, 11 a.m.-noon

  • What is Enterprise Business Intelligence?
  • No Tableau license? No problem!
  • Designing better dashboards

Tableau Q&A session

When: May 24, 2023, 11 a.m.-noon

  • Overview of available data services
  • Working with Tableau dashboards
  • The value of visualization