Undergraduate Module Descriptor

SSI2007: Data Analysis in Social Science 3

This module descriptor refers to the 2022/3 academic year.

Overview

NQF Level 5
Credits 15 ECTS Value 7.5
Term(s) and duration

This module ran during term 1 (11 weeks)

Academic staff

Dr Alexey Bessudnov (Convenor)

Pre-requisites

SSI1005 and SSI1006 

Co-requisites

None

Available via distance learning

No

Basic knowledge of statistics and data analysis is often not enough for dealing with more complicated problems in the social sciences, as well as in market research, applied policy analysis, and data-driven journalism. This module introduces you to more advanced techniques for social data analysis using the statistical programming language R and the tidyverse framework (or alternatively Python and pandas). These techniques are especially useful while working with large and “messy” data sets. While some statistical theory is covered in this module, the discussion of statistical concepts is generally non-mathematical and intuitive and is based on numerous examples from social sciences. The module assumes familiarity with basic descriptive statistics and linear regression analysis.

Module created

30/03/2016

Last revised

06/10/2022