Advanced Data Analysis

2022/2023

Academic Year

ENG

Instruction in English

5

ECTS credits

Delivered at:

Department of Sociology

Course type:

Elective course

When:

4 year, 1, 2 module

Instructor

Вильховенко Александр Александрович

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.