Introduction to R and RStudio for Data Analysis in Scientific Research

Course outline

The course will consist of 4 modules to be completed over 12 hours (3 hours over 4 days). The course will use the book ‘R for Data Science’ by Wickham and Grolemund (https://r4ds.hadley.nz/) and Introductory Statistics with R’ by Peter Dalgaard as reference material.

Course objective

The objective of this course is to equip participants with the fundamental skills and knowledge to confidently use R and RStudio for data analysis in scientific research. They will gain practical experience in using R for data manipulation, visualisation and analysis, empowering them to extract meaningful insights from their datasets. Throughout the course, learners will explore essential concepts such as importing, transforming, and visualising data, basic statistics while being exposed to scripts, projects, R packages, using help documentation and troubleshooting errors. By the end of the course, participants will have a solid foundation in R, enabling them to continue in their own R journey efficiently and effectively.

Course convenors: Shaun Nielsen and Cristina Diez Vives.

Para más información sobre el proceso de inscripción y el temario, consultar el siguiente enlace.