2021/2022
Data Science for Social Sciences
Type:
Optional course (faculty)
Delivered by:
Department of Sociology
When:
3, 4 module
Open to:
students of one campus
Language:
English
ECTS credits:
3
Contact hours:
40
Course Syllabus
Abstract
The primary goal of the seminar is to teach transparent and reproducible workflows for research data management and statistical analysis using the free R programming language for statistical computing and graphics and the RStudio environment. The basic idea is that transparent data management anticipates the data representation needed for statistical analyses and modeling. A transparent representation of data greatly facilitates the specification of statistical models that are appropriate for the data; in other words, it effectively prevents the specification of incorrect statistical models. The secondary goal of the seminar is to introduce some multivariate statistical analyses. However, the extent and amount of time spent on the secondary goal depends on how fast the primary goal is reached, that is it depends on students’ background and success in achieving the primary goal.