Materials for NYU Shortcourse “Data Science and Social Science”

January 27, 2016
By

(This article was first published on R – Bad Hessian, and kindly contributed to R-bloggers)

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 on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

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)