UBDC Training 2017: Introduction to R

Friday 26 May 2017
10:00 - 16:30 BST
Jura Teaching Lab, Level 4 Annexe, University of Glasgow Library, Hillhead St, Glasgow G12 8QE

The Urban Big Data Centre at the University of Glasgow are pleased to announce the return of our data skills development training programme.

Due to a high demand we are beginning the programme early this year with an additional session of Introduction to R in May.

The programme will then continue in August where there will be a large selection of short training courses to choose from, offering an opportunity for skills development in key areas of data analytics, methods, and data management. As well as repeating popular courses from previous years we have responded to the training feedback and requests we have received over the last year and will be offering several new courses. We aim to announce our full schedule in the coming weeks. Please contact keith.maynard@glasgow.ac.uk if you would like to be notified of this via to our mailing list or with any other enquiries.

Introduction to R

Course instructor: Dr Mirjam Allik, UBDC, University of Glasgow

Course duration: 1 day (Friday 26nd May 2017, 10:00am – 4:30pm)

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

Audience: Social scientists, students, practitioners

Fees: £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

Payment methods information is available on the Eventbrite page for this course.

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