Undergraduate Module Descriptor

SSI2007: Data Analysis in Social Science 3

This module descriptor refers to the 2019/0 academic year.

Overview

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

This module will run during term 2 (11 weeks)

Academic staff

Dr Alexey Bessudnov (Convenor)

Pre-requisites

SSI1006 (POL/SOC1041) and SSI2005 (POL/SOC2077)

Co-requisites

SSI2005 (POL/SOC2077) if not taken before

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 in particular the tidyverse framework. These techniques are especially useful while working with large longitudinal 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.


SSI1006 (POL/SOC1041) and SSI2005 (POL/SOC2077) are the pre-requisites for this module.

Module created

11/12/2019

Last revised

11/12/2019