Materials for NYU Shortcourse “Data Science and Social Science”

[This article was first published on R – Bad Hessian, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Pablo Barberá, Dan Cervone, and I prepared a short course at New York University on Data Science and Social Science, sponsored by several institutes at NYU. The course was intended as an introduction to R and basic data science tasks, including data visualization, social network analysis, textual analysis, web scraping, and APIs. The workshop is geared towards social scientists with little experience in R, but experience with other statistical packages.

You can download and tinker around with the materials on GitHub.

To leave a comment for the author, please follow the link and comment on their blog: R – Bad Hessian.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)