Course dates

Online teaching

We are now offering many of our courses online due to the developing Covid-19 situation. Continue learning with us by taking courses remotely via live distance learning.

Starting date, Monday 10 Aug 2020
10am - 5pm | 5 days
Starting date, Monday 7 Sep 2020
10am - 5pm | 5 days
Starting date, Monday 2 Nov 2020
10-5 pm | 5 days

Course overview

Learn 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.

Really good - well run and very interesting and informative. Tutor very helpful and solved many issues!

Helen Pine

Incredibly useful course. A good pace throughout the week. A clear structure to what we were doing. Practicals and recaps were great to consolidate knowledge.

Elsie Lauchlan

The course is available in four formats:

  • Campus
  • Clients office
  • Online (virtual classroom) with live tutoring
  • Bespoke (group or 1:1 coaching)

For additional course dates, please visit our Eventbrite.

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

Get hands-on experience

Designed for beginners, our week-long course offers you a hands-on introduction to R software, an open-source software environment, focusing on practical areas of data analysis.

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 your course at Goldsmiths, 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.

On your final day, you’ll build a predictive model based on real data about the factors that predict survival on the Titanic and/or the factors that predict childhood bullying. This will involve real datasets that will require you to perform different skills you’ve learnt throughout the week, to demonstrate your ability to handle and gain insight from large and unfamiliar datasets.

By the end of the week, you’ll understand and be ready to use R’s fundamental techniques. For example, how to read a variety of different types of datasets, as well as “cleaning” and restructuring it to make it more useful for you. You’ll also have created publication-quality graphics and know how to apply different models onto different types of datasets.

Campus Courses - VAT-free: Our venues are in central London (Senate House) and in New Cross. You can select your preferred location by choosing the date available.

Virtual Classroom Courses - VAT-free: Live tutoring brings all the benefits of face to face training and, in addition, improves skills for ‘digital’ participation. There is an increasing need for online activities in all areas of life – making ‘digital’ participation an essential skill of the 21st century. 

Bespoke Courses:  If you are interested in a tailor-made Public Speaking course option: 1-1 coaching or bespoke group training, please contact us using the email or phone number provided below.

Fees

£750

Booking information

This course is also available as a set of evening courses which run twice a week of four weeks for £695. 

Book onto Introduction to R – Evening Courses.

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.

Book now

Starting date, Monday 10 Aug 2020
10am - 5pm | 5 days
Starting date, Monday 7 Sep 2020
10am - 5pm | 5 days
Starting date, Monday 2 Nov 2020
10-5 pm | 5 days

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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