Materials for the Stanford Sociology Department’s Statistics Bootcamp, developed by PhD students Amy L. Johnson, Rebecca Gleit, and Nick Sherefkin.

The statistics bootcamp prepares incoming PhD students for the Sociology statistics sequence (Soc 381, 382, 383); this set of courses gives students a deep understanding of the most commonly used statistical techniques in social science. While the bootcamp is especially beneficial for students with nontraditional backgrounds or less quantitative experience, it is strongly recommended for all incoming graduate students to encourage a smooth transition into graduate studies and foster a friendly community of first-year social scientists. The bootcamp consists of five sessions with experienced graduate student instructors. During the bootcamp we develop our fluency in Stata (the statistical program used by many social scientists and throughout the sequence), review foundational mathematical and statistical concepts, and practice applications of core statistical ideas.