Johan A. Elkink
teaching

Data Analytics for the Social Sciences

POL 30430 Data Analytics for the Social Sciences

Tuesday, 1-3 pm, lab G6, Daedalus Building.

Syllabus

R can be downloaded for free here. A handy overview of R regression commands can be found here: reference card for regression. A more general one for R is here: short reference card. The Google R Style guide provides suggestions for writing clear code.

You should also install RStudio, after installing R.

1 12/9 Introduction slides lab | output markdown cheat sheet | videos: markdown | importing Excel | using packages
2 19/9 Data inspection and visualisation slides lab | output
3 26/9 Distributions and descriptive statistics slides lab | output
4 3/10 Comparing through visualisation slides lab | output ggplot cheat sheet | Top 50 ggplot examples
5 10/10 Linear regression (and wrangling) slides lab | output videos: merging
6 17/10 Logistic regression slides lab | output
7 24/10 Trees and forests slides lab | output
8 31/10 Geography and networks slides lab | demo
9 7/11 Cluster analysis slides lab | output
10 14/11 Principal components and multidimensional scaling slides lab | output
11 21/11 Wordscores slides lab | output
12 28/11 Topic models slides lab | output