Basic R with Data Carpentry

Course Overview

  • Written by experts
  • Introductory
  • Open Access
  • 100% online
  • Video content
  • Multiple choice quiz
  • Completion certificate
  • Approx. 10 hours to complete
Write your awesome label here.

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 course is designed for participants with no programming experience and is the most beginner-friendly course within Innovation Scholars. We will be using example questions related to health research to learn how to write ad-hoc codes to manipulate and visualize data using R packages designed for Big Data analyses.

By end of this course you will be able to:
  • Define the basic terms as they relate to R (i.e. object, assign, call, function, arguments, options)
  • Create, rename, subset, and manipulate R objects
  • Use comments to annotate your R script.
  • Call functions and use arguments to change their default options
  • Use various techniques to deal with missing data
  • Manipulate and analyse data (i.e. data from csv, xls, txt files) with classical approach and by using tidyverse package
  • Visualize data using ggplot2 

Who this training is for:
  • You are a complete/near complete beginner to programming
  • 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
  • You need to start using more data for your current or future role
  • You want to be able to perform basic tasks in R, such as making plots and sorting through tables, based on health-data without getting too deep into the theory of coding

Course authors and designers

Dr Alessandra Vigilante

Academic Lead and Instructor

Dasha Belokhvostova

Learning Technologist

James Cain

Graduate Teaching Assistant