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
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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.

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)