Undergraduate Module Descriptor
SSI3003: Data Analysis in Social Science 3
This module descriptor refers to the 2022/3 academic year.
The aim of this module is to introduce you to more advanced quantitative techniques for the analysis of social data. More
specifically, you will learn how to clean, transform, reshape and visualise data in R, a statistical programming language, and
tidyverse, a collection of tidyverse packages. You will also learn the fundamentals of programming in R, such as conditional
statements, loops and functions. After completing this module, you will be able to independently conduct data analysis in R.
Employers in many industries value this skill.
|On successfully completing the programme you will be able to:|
|Module-Specific Skills||1. clean and prepare your data for statistical analysis in R or Python;|
2. conduct statistical analysis using selected methods at the advanced level in R or Python;
|Discipline-Specific Skills||3. apply statistical data analysis techniques to social science problems;|
4. clearly explain the results of statistical analysis in substantive terms and relate them to substantive social science problems;
|Personal and Key Skills||5. report the results of statistical analysis in writing in a way that would be understood by non-specialists; and|
6. use general-purpose statistical software for the analysis of social data at the advanced level