COMPUTATIONAL SOCIAL SCIENCE – Analyzing and Visualizing Data with Tableau – Paul Albert

May 5, 2017 @ 3:00 pm – 4:30 pm
Center for Social Complexity Suite 3rd Floor, Research Hall, Fairfax Campus
Karen Underwood

Computational Social Science Friday Seminar

Paul Albert, Independent Scholar

Analyzing and Visualizing Data with Tableau

Friday, May 5, 2017 –  3:00 p.m.
Center for Social Complexity Suite
3rd Floor, Research Hall

Abstract:    In January of 2017, Forbes Magazine listed the top technical job skills showing the highest growth in demand from 2011 to 2015. The number three position, with 1,581% growth, was Tableau, a software solution that helps people see and understand their data.

Tableau offers free licenses for academic research.

In this session, Paul Albert will:

  • Provide a hands-on overview of Tableau to show how it can help people do more with their data
  • Show examples of Tableau data visualizations relevant to the CSS world
  • Discuss how Tableau might be able to alter paradigms for sharing academic findings
  • Discuss free resources available to learn more about Tableau

Paul recently retired from Tableau and has started graduate studies with the GMU Art History program. His initial focus is on applying quantitative analysis and social theory to art markets. His secondary focus is on exploring how products like Tableau can be used to support new ways of presenting academic research and findings.

While at Tableau, Paul coordinated and conducted over 60 training events for over 1,100 participants. Paul was also one of four finalists, out of a field of over 200 contestants, in the annual Tableau “Viz Wiz” data visualization contest for 2016.