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Regular version of the site
Bachelor 2022/2023

Data Analysis in Sociology

Type: Compulsory course (Sociology and Social Informatics)
Area of studies: Sociology
When: 2 year, 3, 4 module
Mode of studies: distance learning
Online hours: 32
Open to: students of one campus
Instructors: Dmitry Arkatov, Olesya Vólchenko
Language: English
ECTS credits: 4
Contact hours: 60

Course Syllabus

Abstract

This course lasts for three years. The 1st year aims at beginners. This year starts from introductory topics (variable types, hypothesis testing, descriptive statistics) to working with some methods (chi-square, t-test, nonparametric statistics, one-way ANOVA, and linear regression). The course covers the building blocks of quantitative data analysis with the aim to train students to be informed producers and consumers of quantitative research. The applied part introduces working in R (RStudio) for calculations and reporting. Prerequisites: understanding key ideas in sampling theory and probabilities. This course is the starting point for social science and humanities students interested in pursuing training in advanced methods of data analysis or planning to use quantitative methods in their own research.