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Online Courses and Training Materials

Here there is a list of online courses and training materials

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Data Visualization Schools

Visualization with Code

  • c<>de school is a new player on the market, and they already have a course where you can Try R. Which is free. And quite amazing for the effort. It’ll only take a couple of hours of your time. They have a range of other courses, some of which would be relevant to people doing information graphics and data visualizations.
  • Codecademy is not so much targeted at data analysis or visualization, but they do have introductory courses in JavaScript and Python, which is relevant for just about every person that would like to one day be able to make her own interactive visualizations.
  • For D3.js I believe Scott Murray’s D3.js tutorials and the tutorial he, Jeff Heer and Jérôme Cukier made for VisWeek 2012 are good places to start. I haven’t yet given this tutorial from Stanford much of a look, but as the only required reading is a paper by Stanford’s own Michael Bostock, Vadim Ogievetsky, Jeffrey Heer who are also the authors of D3, I think it should be a requirement for anyone digging into D3. The most comprehensive collection of tutorials seems (unsurprisingly) to be the D3 wiki page, but Dashing D3.js also seems like a great source. 
  • D3js Channel in YouTube - A tutorial series covering the Javascript library D3
  • 50 JavaScript Libraries for Charts and Graphs - TechSlides | techslides.com
  • MATPLOTLIB - matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. See the Example Gallery (with source codes) in XKCD-style 
 

Visualization without Code

Data Warehouse and Business Intelligence (DW/BI)

Big Data

Statistics and Analysis

Machine Learning

Neural Network

Global and Public Health