Data Analysis in the Social Sciences

Материалы по математике, 2018-19 учебный год
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Course info

Dear students,

Here will be published the materials of the course "Data Analysis in the Social Sciences", taught at the Master programme "Politics. Economics. Philosophy." in 2018-2019 academic year.

  • Instructor: Alla Tambovtseva
  • Modules: 2-4
  • Course syllabus: link


During this course we will use R as a programming language and RStudio as a GUI.

How to install R and RStudio?

1. Download R (you can choose another mirror here if you wish) and install it on your computer. Make sure you did it before installing RStudio.

2. Download RStudio (you need RStudio Desktop Open Source License) and install it on your computer. It is recommended to create a shortcut for RStudio during installation.

How to use RStudio?

Read the instruction here.

For successful submission of assignments you should be able to create and save R code files (.R). However, it would be helpful for your own research projects to learn how to create RMarkdown files.


Date Topic Theory R Optional
01 November Data collection-1. Population and samples. lecture1 r-intro RMarkdown: official page, cheatsheet
08 November Data collection-2. Sampling. Sources of bias. lecture2 r-types r-vectors
15 November Data types. Intro to exploratory analysis. lecture3 r-dataload Titanic csv in R files
22 November Exploratory analysis. Data visualisation. lecture4 Chile codebook r-explore1 sample quartiles
29 November Exploratory analysis. [lecture5] r-tables Chile r-rnorm wordcloud code
10 January Statistical estimates. Statistical laws. lecture6 r-loops [r-laws]

R lectures in pdf

01 November: r-intro, 08 November: r-types, r-vectors, 15 November: r-dataload csv-add, 22 November: r-explore1, 29 November: r-tables, r-rnorm

Home assignments


We will use two books as compulsory for this course:

  • D.Diez et al. OpenIntro Statistics. 2015. (freely&legally available online)
  • Ch.Weelan. Naked statistics. 2013.