Statistics with R

  • Written by experts
  • Introductory
  • 100% online
  • Video content
  • Multiple choice quiz
  • Approx. 3.5 hours to complete
  • CPD Accredited Certificate

About this course

Welcome to the Innovation Scholars Program. Funded by UKRI, this program run by Kings College London offers flexible and modular training for health care professionals, researchers and industry partners. This training aims to upskill all in their ability to use and apply big data in their work and research. We hope you will find data and AI training that supports you within the program. 

Innovation Scholars Pillar 2 Course Map:
This course will provide practical examples of how to perform statistical tests using the R software environment. We will explore the most widely used statistical tests and will explain the basic concept behind applying a stats test in R so that participants will be able to apply their knowledge to other tests not covered in this course. A basic knowledge of the statistical tests and a basic knowledge of R and Rstudio are essential.

This course is for you if
  • You need to apply statistical tests to large datasets in your current or future role
  • You have a basic or higher level of programming using R and Rstudio
  • You have a basic or higher understanding of statistics
  • You work in health-related sector as either clinical, administrative or academic staff - for example as a nurse, health administrator, consultant, biomedical researcher, etc.
  • You require flexible learning format

Course delivery mode


This course is entirely self-paced and all the materials are on the Learning Hub module. We recommend dedicating a total of approximately 5 hours of learning time to get the most out of this course.

Live Q&A sessions with the instructors will be scheduled regularly so participants can receive support in whatever stage of the course they are. The dates will be emailed to you if you sign up to the course.

You will be going through 8 learning sessions, including theoretical refreshers and hands-on practicals. Each practical session:

  • is carefully designed to be an immersive, hands-on learning experience of 30-60 minutes
  • has video lectures in which you are following the instructor in writing simple code and applying it to health-related questions. 
  • has a link to learning materials the instructor is using if you prefer to read
  • offers you stimulating questions to enhance your learning experience


Course authors and designers

Dr Alessandra Vigilante

Academic Lead and Instructor

Dasha Belokhvostova

Learning Technologist

James Cain

Graduate Teaching Assistant