22 Apr 2026 (Available)
Apply by: 21 Apr 2026
In-person: Wednesday 22nd April 2026, 09:30-17:00
University of Hertfordshire, Hatfield, Hertfordshire
Course overview
This one-day course is the second in the "R" stream and is aimed at those who want to know how to use R for undertaking data analysis, the day showing you how to use R to carry out commonly used statistical techniques, including tabulation, t tests, analysis of variance and regression. You may bring your own data for analysis or use the example datasets we provide. We will be using RStudio as a front-end for managing the R programming.
If you are interested in this course you may also be interested in our preceding Getting to Know R course.
See our full range of courses (and options for bespoke courses) at https://go.herts.ac.uk/sscu or contact the course organiser, Professor Neil Spencer, at statistics@herts.ac.uk.
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Funding
£249.00
If you are unable to pay by card and require an invoice, please email statistics@herts.ac.uk.
Why choose Herts?
Over 25 years' experience of delivering quality short courses in Statistics
1st in the UK for support and top 10 in every other section, Postgraduate Taught Experience Survey (PTES), 2024
25 mins north of London: Exciting learning and social experiences within easy access
78% of research ranked as world-leading or internationally excellent, Research Excellence Framework (REF), 2021
Course details
Course leader
Matt Coates
Administrator
Neil Spencer
Telephone
Please email for prompt response
Course delivery
In-person
Downloads
Prerequisites
It is assumed that delegates have attended the Getting to Know R course or already know about the basics of programming in R and are familiar with the RStudio interface. It is also assumed that delegates have attended the "Survey Design & Analysis" stream of courses (see here and here) or "Quantitative Data Analysis" stream of courses (see here and here) or already have a good knowledge of the material in those courses.
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