Welcome back to the show. In this week’s episode, we’re talking about teaching data visualization. What are best practices? Are there great exercises and assignments to give? What should students walk away with at the end of the day, week, or semester?
I’m joined by leaders in the field of data visualization and teaching data visualization: Tamara Munzner from the University of British Columbia; Marti Hearst from the University of California, Berkeley; Eytan Adar from the University of Michigan; and Robert Kosara from Tableau Software and EagerEyes.org. I’ve included a variety of source links below to some of the teaching materials and recommended books and readings.
Do you teach data visualization? What techniques or strategies do you use? Let me know in the comments section below or on Twitter using #ThePolicVizPodcast.
Links
Recommended Books
Alberto Cairo | The Functional Art
Tamara Munzner | Visualization Analysis and Design | Book website
Isabel Meirelles | Design for Information | Robert’s review
Stephen Few | Now You See It
![Spotify](https://policyviz.com/wp-content/uploads/2023/09/main-og-image.png")
Thanks for these interviews and resources!
I had been compiling dataviz syllabi too, with about 20 here so far
Oh, thanks Jerzy! This looks great!
Interesting how many instructors focus on tools. This is almost the opposite of a conversation I had in Germany last week with about 20+ instructors who seem to focus on strategies and sketching. Not sure which way is right, but the variety of approaches is interesting.
Another great show. Thanks for doing these!
-Mike, epidemiologist / data scientist from NC