R is one of the most used programming languages in Data Science to perform data analysis, used to visualize the data, to apply statistics and for machine learning analyses. 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.

This course is for you if:

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
This is an in-person workshop. Completion of the associated online module (Basic R with Data Carpentry) is mandatory prior to attendance.