The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
Sign up for our weekly newsletter!
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
The R for Data Science workshop series is a four part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying,
This INTENSIVE offers an introduction to a range of Text Analysis approaches, including dictionary methods, classification and machine learning, TF-IDF, clustering, and topic modeling.
This workshop will illustrate a variety of text analysis techniques using a database of New York Times articles. Familiarity with R will be helpful.
This workshop will introduce methods and libraries for mapping spatial data in R.
This class will cover the the basics of simulations in R. We will begin by going through simple examples.
Linear modeling is the one of the most flexible methods available in inferential statistics, but this flexibility comes at a learning cost.
Come learn how to turn your data into powerful webmaps using R, Shiny and Leaflet. Shiny is a web application framework for R that lets you turn your analyses into online, interactive tools.