## Data Analytics for the Social Sciences

POL 30430 **Data Analytics for the Social Sciences**

Thursday, 9-11 am, lab G5, Daedalus Building.

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 | 23/1 | Introduction | slides | lab | output | markdown cheat sheet | videos: markdown | importing Excel | using packages |

2 | 30/1 | Distributions and descriptive statistics | slides | lab | output | |

3 | 6/2 | Comparing through visualisation | slides | lab | output | Top 50 ggplot examples | data preparation script |

4 | 13/2 | Linear regression | slides | lab | output | videos: merging |

5 | 20/2 | Logistic regression | slides | lab | output | |

6 | 5/3 | Trees and forests | slides | lab | output | lecture: trees | forests | project 2 |

7 | 26/3 | Geography and networks | slides | demo | ||

8 | 2/4 | Cluster analysis | slides | lab | output | lecture: intro | kmeans | hierarchical | dissimilarity | speeches |

9 | 9/4 | Dimension reduction | slides | lab | output | lecture: intro | mds | pca | factor analysis |

10 | 16/4 | Wordscores | slides | lab | output | lecture: intro | wordscores | wordfish |

11 | 23/4 | Topic models | slides | lab | output | lecture: topic models | putin | afterthoughts | project 3 |