Events

The Institute brings leading practitioners and academics together at a variety of events including networking sessions, lectures, research seminars and conferences.

See also all events in the College of Social Sciences and International Studies.

WhenTimeDescriptionAdd to your calendar
22 November 201915:30

Data Analysis & Q-Step Alumni Careers Q&A Discussion

Come along to our Q&A event and speak to a number of recent Exeter Q-Step and Politics graduates who have taken different career routes into social data science since graduating! This event is intended for any students, UG or PG, interested in a career in data analysis. You will have the opportunity to find out about a range of careers, and learn about what you can do, both now during your studies and after graduation, to follow a similar path.. Full details
Add event
3 December 201912:30

Introduction to LaTex

LaTex is a document preparation system for high-quality typesetting that is used extensively in academia and elsewhere for technical and scientific documents. This workshop is aimed at those with little-to-no experience of LaTex, but who wish to develop a working understanding of it in order to produce high-quality documents. Full details
Add event
15 January 202013:00

Introduction to R for Social Scientists

This workshop is aimed at those who have no experience of R, and will provide a solid introduction to using it for data analysis by covering how to handle data structures such as vectors, matrices, and data frames. Full details
Add event
5 February 202013:00

Introduction to GIS

A geographic information system (GIS) is a system designed to allow researchers to capture, store, manipulate, analyse, manage, and present spatial or geographic data. This workshop will introduce attendees to the introductory principles of GIS and how to use Python ArcGIS for research purposes. Full details
Add event
4 March 202013:00

Data Analysis with R for Social Scientists

Building upon the basic introduction offered to R in workshop 4, this workshop will cover exploratory data analysis, quantitative data analysis, and visualising data using R, as well as introducing the various libraries that a user needs to be familiar with in order to carry out such tasks. Full details
Add event