£35 – £100

UBDC Training 2017: Introduction to R

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Jura Teaching Lab, Level 4 Annexe

University of Glasgow Library

Hillhead Street

Glasgow

G12 8QE

United Kingdom

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Description

By popular demand the Urban Big Data Centre is running a further date of Introduction to R from our SASNet data skills training programme on Thursday 12th October 2017.

Viisit http://ubdc.ac.uk/outreach-plus-training/sasnet/summer-training-2017 to view the full selection of courses that were run over the summer.

We intend to run further courses in the coming months so please contact keith.maynard@glasgow.ac.uk if you would like to be added to the mailing list or with any other enquiries about the training programme.



Introduction to R

Course instructor: Katarzyna Sila-Nowicka, UBDC, University of Glasgow

Course duration: 1 day (Thursday 12th October 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

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, managing various data types and sizes, 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 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
  • Manage data for analysis purposes
  • Calculate descriptive statistics
  • Visualise data

Payment and registration:

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

Payment by card preferred.

If you are unable to pay by debit or credit card we are able to accept payment by invoice. Please supply the following information by e-mail to keith.maynard@glasgow.ac.uk within 14 days of registering on Eventbrite in order to confirm your place on the course:

  • Contact name for invoice
  • Purchase Order number (note that the supplier is University of Glasgow)
  • Contact e-mail address for payment correspondence
  • Full name of organisation/department
  • VAT registration (if applicable)
  • Currency
  • Address for Invoice to be sent and telephone number

To cancel your place and request a refund, please email keith.maynard@glasgow.ac.uk. Please note that a refund of course fees less 10% administrative charge can only be issued if you cancel your place in writing at least 7 days prior to the course after which time fees will be non-refundable. Substitutes can be made at no extra charge up until 5pm on the last working day before the course.


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

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Location

Jura Teaching Lab, Level 4 Annexe

University of Glasgow Library

Hillhead Street

Glasgow

G12 8QE

United Kingdom

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