About this course

This module provides essential research training in the use of quantitative methods in the political and social sciences, particularly for those interested in a future career in data analytics or in becoming critical consumers of quantitative research. The module caters for students from diverse academic disciplines and adopts a practical hands-on approach to learning, with tutor supported computer tutorials.

The module covers descriptive statistics, data visualisation, data access, probability, sampling, hypothesis testing, inferential statistics and ends with an introduction linear regression. Students will be introduced to the R statistical software and work with data used in current academic research.

My office hours are Wednesday 15:30-16:30 and Thursday 13:00-14:00. My room is ArtsOne 2.29. You can drop-in in groups. There is no need to book in advance. Please make use of the office hours.

Some groups’ tutorials will be run by Matthew Barnfield. His office hour is Friday at 9:00-10:00 in ArtsOne 2.30.
You can come to this office hour alone or in groups, and there is no need to book in advance.