Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

The Challenge of Teaching Data Visualization


Published on

This is our proposal to SXSW Interactive 2015! Please vote for us at

As the demand for producing high-quality data visualizations grow, so does the demand for high-quality instruction. How can students combine statistics, design, and programming to understand and visualize data? Courses in data visualization are now being offered in a wide array of fields: journalism, computer science, art, and public policy, to name a few. And in addition to traditional learning settings such as universities, online courses are allowing more people to learn these skills, but also create new questions about the most effective ways to teach these skills. In this panel, we propose to discuss the challenges surrounding teaching data visualization, a topic that is receiving increased attention and scrutiny (see, for example, this recent Data Stories podcast:

Published in: Data & Analytics
  • Be the first to comment

The Challenge of Teaching Data Visualization

  1. 1. I’m not a teacher; only a fellow traveler of whom you asked the way. I pointed ahead – ahead of myself as well as you. - George Bernard Shaw
  2. 2. In April 2015, 4 experts will convene at SXSW to discuss the challenges & issues of teaching data visualization
  3. 3. Kaiser Fung, Vimeo, & New York University
  4. 4. Cole Nussbaumer & Maryland Institute College of Art
  5. 5. Jonathan Schwabish, Urban Institute, & Georgetown University
  6. 6. Ben Shneiderman University of Maryland-College Park
  7. 7. ? What skills should students expect to have upon completing a course in data visualization?
  8. 8. ? Are there specific resources, websites, tools, or methods that can be used to improve instruction?
  9. 9. ? Should data visualization courses focus on a single tool, multiple tools, or no tools at all?
  10. 10. ? To what extent should a data visualization course touch upon statistics and working with data?
  11. 11. ? What are the best types of exercises, examples, homeworks, and exams?
  12. 12. Vote for us! The Challenge of Teaching Data Visualization SXSW Interactive Austin, TX, March 2015