Course overview

 

Online teaching

We are now offering many of our courses online (over Zoom or similar platforms). No prior experience with these platforms is required. Continue learning with us by taking courses remotely via live distance learning.

 

This evening course will teach you how to process and analyse data, install packages for functionality and make high-quality graphics using R, a language and environment for statistical computing and graphics.

The course is available in four formats:

  • Campus
  • Clients' Office
  • Online (Virtual Classroom) with live tutoring
  • Bespoke (Group or 1-2-1 coaching)

100% of AIR income, beyond operational expense, is used towards education and research. Read more…

Get hands-on experience

This evening course is also designed for beginners and has the same structure as our week-long course. You’ll take part in two evening sessions over a period of four weeks.

R is quickly becoming the go-to tool for data scientists and programmers as well as being at the forefront of developments in statistical computing. Understanding the foundations of R’s functionality can benefit people across many different fields.

Throughout the four weeks, you’ll learn about:

  • Data analysis, reading in data, data exploration and filtering
  • Vectors, arithmetic, recycling
  • Graphics and advanced graphics
  • Analysis workflow
  • Making your own functions
  • Linear modelling
  • Object-orientated programming
  • Principal component analysis 

On this course, we want to give you as much practical experience as possible so you’ll experience a range of different teaching and learning methods. These will include lectures, active participation in tutorials, practical sessions, debates and discussions. You’ll also receive academic guidance and feedback throughout the course.

Fees

£695

Booking information

This course is also available as a week-long course for £750

Book onto Introduction to R – Week Long Course

We are committed to providing reasonable teaching adjustments for students with disabilities that may impact on their learning experience. Please be advised that in order to provide an assessment and plan appropriate support we require as much notice as possible and, in some circumstances, up to 3 months. If you are planning to book, or have already booked, onto a short course please contact Goldsmiths Disability Team (disability@gold.ac.uk) at your earliest convenience.

Discounts

As a University, we want to give as many people access to our courses as possible. There are a number of discounts that can help you, find out more below: 

  • 10% discount when you enrol for more than one of our short courses at the same time.
  • 20% discount for UK students
  • 25% discount for members of the UK Law and Society Association (UKLSA)
  • If 5 people register from the same institution, the fifth place is free.
  • If you’re a Goldsmiths’ student, member of staff and alumni, you can email us for current discounts.

As a University, we are able to offer our courses at minimum prices, and free of VAT - to make knowledge available to as wide audience as possible.

To find out about our refund policy, go to our AIR courses main page

Disability Support

We are committed to providing reasonable teaching adjustments for students with disabilities that may impact on their learning experience. If you require adjustments, please complete the relevant section on the booking form and also contact us at shortcourses@gold.ac.uk so we can respond to your requests as soon as possible. 

Please note our short courses sell-out quickly, so early booking is advisable.

Enquiries

If you have any questions about this course please contact air (@gold.ac.uk) or call +44 (0)20 7078 5468.

For information on our upcoming short courses please sign up to our mailing list.

Tutor information


Portrait of Dr Will Lawrence

Dr Will Lawrence

The course is directed by Dr Will Lawrence, who completed his PhD at the Department of Electronics and Computer Science at the University of Southampton, and who has a background in psychology. Will has rich experience in delivering training in both Python and R, to diverse audiences.

 

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