Bachelor
2022/2023
Advanced Data Analysis
Type:
Elective course (Sociology and Social Informatics)
Area of studies:
Sociology
Delivered by:
Department of Sociology
When:
4 year, 1, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Вильховенко Александр Александрович
Language:
English
ECTS credits:
5
Contact hours:
36
Course Syllabus
Abstract
The course is targeted at undergraduate social science students aiming at careers in data analysis or academia. The course consists of seminars. It covers special prediction and classification models (logistic regression and cluster analysis) and more advanced data management topics such as web scraping and data imputation. The course discusses data culture, from data management to coding styles to narrating with data and Bayesian statistics. Another feature of that course is to learn the coding instruments which helps to create tidy analysis. It is also a starting point for students interested in pursuing advanced training in research methods or planning to use quantitative methods with categorical outcomes in their own research.