Course dates
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.
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
Goldsmiths offers a 15% concession rate on short courses to Lewisham Local cardholders, Students and Goldsmiths Alumni.
Booking information
Please note our short courses sell out quickly, so early booking is advisable.
Enquiries
Find out more about all of the AIR courses available to you.
For all enquiries, and to be regularly updated on upcoming AIR courses, please email: air (@gold.ac.uk). For anything urgent, or if emailing is not a good option for you, you can also call us via WhatsApp or phone on +44 (0)7908 566 949.
You can also follow us on social media:
- LinkedIn – AIR Courses
- Instagram – @aircourses
- Twitter – @AIR_courses
- Facebook – AIRcourses
Short courses mailing list: for information about our upcoming short courses please sign up to our mailing list.
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.
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.
Tutor information
Carlos Salas
The course is supervised by Carlos Salas Najera, who has more than 15 years of experience in investments, data science and machine learning. Carlos has a BSc in Economics, MSc in Finance as well as postgraduate education in Data Science and Machine Learning at the New York City Data Science Academy. He is a holder of the CFA and CQF professional investment certificates. Carlos is an FCA-regulated C30 investment professional whose career spans investment firms such as Santander AM, BNP Paribas AM, LCAM and Jefferies International. In addition, Carlos is also deeply committed to education and research initiatives. He leads the CFA Machine Learning Working Group; and has advised the IFRS Foundation on new accounting standards.
