Introduction to R for Health Research

Course Overview

  • Written by experts
  • Introductory
  • 100% online
  • Video content
  • Multiple choice quiz
  • Approx. 20 hours to complete
  • CPD accredited certificate
Write your awesome label here.

About this course

This module introduces you to the basics (and beyond) of the R statistical programming language, and gets you started working with it, in a health research context. You will benefit from having a background in basic statistical methods (e.g. probability distributions, hypothesis testing) and high school mathematics (e.g. basic calculus, basic linear algebra)

The main benefit from this course comes from working on the interactive quizzes and practicals. The benefit you will accrue from this course is immensely correlated with the amount of effort you put into the practical work. R is a really great programming language with a huge, international user base and it is free to use in a educational setting

The module topics are delivered over a series of interactive lecture videos and practical assignments using RStudio, with a CPD accredited certificate awarded on completion.

As a rough guide, you should be able to complete this module within a total 20 hours of study.

This course has been delivered through the National Institute for Health and Care Research (NIHR) Maudsley Biomedical Research Centre (BRC). The views expressed are those of the author(s) and not necessarily those of the UKRI, the NIHR or the Department of Health and Social Care.  

Course authors and designers

Ewan Carr

Course Instructor
Senior Lecturer in Biostatistics, Biostatistics & Health Informatics
NIHR Maudsley Biomedical Research Centre (BRC)

Cedric Ginestet

Course Instructor
Lecturer in Biostatistics (AEP), Biostatistics & Health Informatics
NIHR Maudsley Biomedical Research Centre (BRC)

Zahra Abdullah

Education Lead
Senior Teaching Fellow, Biostatistics & Health Informatics

John Langham

Online Course Developer

Daniel Stahl

Academic Lead
Professor of Medical Statistics & Statistical Learning, Biostatistics & Health Informatics
NIHR Maudsley Biomedical Research Centre (BRC)

We use cookies to provide you with an optimal experience and relevant communication. Learn more or accept individual cookies.

Necessary

Necessary cookies (First Party Cookies) are sometimes called "strictly necessary" as without them we cannot provide the functionality that you need to use this website. For example, essential cookies help remember your preferences as you navigate through the online school.

Functional

Functional cookies enable this website to provide enhanced functionality and personalization, by remembering information you have entered and choices you make. These preferences are remembered through the use of persistent cookies, so that you will not have to set them again the next time you visit the website.

Analytics

Analytics cookies track information about visits on our website so that we can measure and improve its performance, as well as optimise our course content. These cookies help us analyze user behavior by tracking the number of visits, how visitors use the website, which site or page they come from and how long they are staying for.

Marketing

Marketing cookies are used to deliver advertising material relevant to you and your interests. They are also used to limit the number of times you see an advertisement, resulting to more targeted advertising, as well as help us measure the effectiveness of our campaigns. They are usually placed by advertising networks we collaborate with, with our permission.