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Introduction to R - Data Analysis and Programming drafted draft
| Program start date | Application deadline |
| 2023-09-18 | - |
| 2023-05-02 | - |
| 2023-09-26 | 2023-07-17 |
| 2024-01-16 | - |
Program Overview
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:
For additional course dates, please visit our
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.100% of AIR income, beyond operational expense, is used towards education and research.
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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:
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.