UBDC Summer Training 2017: Introduction to R

Monday 7 August 2017
10:00 – 16:30 BST
Jura Teaching Lab, Level 4 Annexe, University of Glasgow Library, Hillhead Street, Glasgow G12 8QE

Course instructor: Jonathan Minton, Quantitative Research Associate, University of Glasgow

Course duration: 1 day (Monday 7th August 2017, 10:00am – 4:30pm)

Course location: Jura teaching lab, Level 4 Annexe, Glasgow University Library

Audience: Social scientists, students, practitioners


  • £35 - For UK registered students
  • £60 - For staff at UK academic institutions, Research Council UK funded researchers, UK public sector staff and staff at UK registered charity organisations
  • £100 - For all other participants

Pre-requisite knowledge: Basic statistical knowledge is necessary but no prior programming experience is required

Course summary:

As a powerful open-source tool for statistical analysis, R has been increasingly utilised in higher education, scientific research and practice. The purpose of this course is to introduce basic knowledge of R, such as loading data into R, performing basic statistical techniques and visualising data. By the end of the course, you will be able to manage your data in R, calculate descriptive statistics, implement hypothesis testing, carry out linear regression analysis and visualize your results with plots. The training aims to provide analysts with the foundational skills needed to use R for statistical analysis, which can be applied in academic research or practical work.

Course content:

  • Load data from a variety of file formats
  • Organise data into various data structures
  • Calculate descriptive statistics
  • Hypothesis testing
  • Linear regression analysis
  • Visualise data

Payment and registration:

Places are limited and registration is required.

Payment and registration information is available on Eventbrite.

Lunch will be provided in the break room adjacent to the IT lab - please specify any dietary or access requirements when registering.


Related 2017 courses:

Using R: Mapping Spatial Data
Principles of Visualising Data with R and ggplot
Getting started with Data Management
Introduction to Areal Data Modelling using R
Measuring Segregation and Scale in R