This session is the second of a three part series on regression discontinuity designs. We will discuss smoothers, bandwidth selection, confidence intervals, and covariate adjustment.
Sign up for our weekly newsletter!
Training: Regression Discontinuity Design - Part 1
October 28, 2015
This session is the first of a three part series on regression discontinuity designs. We will cover a number of real-world examples and discuss different ways of analyzing them.
October 19, 2015
Although most researchers associate the Census Bureau with the Census of Population and Housing conducted every ten years, the Census Bureau also conducts other demographic surveys - like the Curre
Training: Intro to Web Mapping with CartoDB
October 19, 2015
This workshop is geared towards social science and digital humanities researchers who have data - scanned images, maps, and spreadsheets, for example, that they want to display on a map.
Training: Multi-stage Sampling
October 22, 2015
Multi-stage sampling is required when a complete list of the target sampling units (persons or households) is unavailable or too expensive to assemble. This workshop will discuss how to select uni
October 21, 2015
In this workshop, we'll go over the basic high-level charting library available with Bokeh and explain when you might use it (as opposed to matplotlib, D3, ggplot, etc.).
Training: Basics of Bot-Building using Twitter
November 4, 2015
The microblogging platform Twitter has become a popular tool both for the analysis of social data (relationship networks, information transmission, linguistic changes) and creating conversations ar
Training: Programming FUN!damentals
October 14, 2015
An intro to the basics that instructors often assume you know, but that you probably never had good instruction on!
Training: Visualization in Python
October 14, 2015
Python has several visualization libraries that offer various plot types and customization options.
Training: R for Data Science: Part 3
October 30, 2015
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,
