UBDC Summer Training 2017: Introduction to R
Event Information
Description
The Urban Big Data Centre at the University of Glasgow is pleased to announce the return of our SASNet data skills training programme for summer 2017.
The programme will run from 1st August - 6th September offering an opportunity for skills development in key areas of data analytics, methods, and data management. Please visit http://ubdc.ac.uk/outreach-plus-training/sasnet/summer-training-2017 to view the full selection of courses.
Please contact keith.maynard@glasgow.ac.uk with any enquiries about the training programme.
Introduction to R
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
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, 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:
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:
Principles of Visualising Data with R and ggplot
Getting started with Data Management
