Undergraduate Module Descriptor


POL3094: Data Analysis in Social Science III

This module descriptor refers to the 2017/8 academic year.

Overview

NQF Level6
Credits15 ECTS Value7.5
Term(s) and duration

This module ran during term 2 (11 weeks)

Academic staff

Dr Alexey Bessudnov (Lecturer)

Pre-requisites

POL/SOC1041 and POL/SOC2077

Co-requisites
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. These techniques are particularly useful while working with large unstructured 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 science. The module assumes familiarity with basic descriptive statistics and linear regression analysis. POL/SOC1041 and POL/SOC2077 are the pre-requisites for this module.

Module created

14/03/2016

Last revised

24/07/2017