More and more courses are online and open due to the pandemic. It is really interesting to see how different vis researchers put their thoughts into their courses with those curated syllabus. And for me personally, the most inspiring part is to see how they frame the discipline visions, review those sub-topics, and introduce the frontiers. Most courses come along with practical (and fun) coding tutorial that can quickly guide a novice.
Below is an (exhausted) unfinished list of courses in Information Visualization I found on the Internet.
Courses
- UW CSE512 Data Visualization by Jeffrey Heer et. al., features the frontier of visualization
- MIT 6.859 Interactive Data Visualization by Arvind Satyanarayan
- Stanford CS448B Visualization by Maneesh Agrawala
- UBC CS436v by Tamara Munzner
- GaTech CS6730 Information Visualization by John Stasko
- Utah CS6630 Visualization for Data Science by Alexander Lex
- l’X INF552 Data Information by Emmanuel Pietriga
- GSU Data Visualization by Andrew Heiss, features R
- MOOCs
While some courses are once or twice in a year, there are some irregular courses offered by visualization researchers.
- Inria Aviz Group featues visual analytics and interactive visualization
- Sheelagn Carpendale with some interesting dataset
- Benjamin Bach with comprehensive courses materials
- Min Lu (Chinese)
- Nick Diakopoulos features media, journalism, and communication
Excercise
- UW: Visualization Curriculum learn to use Vega-Lite (a declarative grammar) with javascript or python (Altair package)
- NYU Vida: Observable Notebooks
- UBC: Course Materials by Michael Oppermann with coding sandbox
- l’X: Course Materials practical practice for raw HTML + js + d3
- HKUST Vislab: Github minimum exercise
- GSU: Course Materials R + ggplot2
Textbook
A comprehensive survey “A Survey of Information Visualization Books” can be found here, which gives a good summary of current visualization books. However, I observe that most visualization courses use the following books as the textbook.
- Visualization Analysis and Design by Tamara Munzner
- The Visual Display of Quantitative Information by Edward Tufte