The aim of this course is to provide an introduction to data science, using R and R Studio. Participants will be introduced to R language syntax, enabling them to write their own R code. Participants will learn about R data-types and data-structures, and they will be taught how to explore data and produce plots. Finally we will showcase how to use R for analyzing experimental data using simple statistical techniques like t-tests, analysis of variance and linear regression. The focus is on the application of the techniques with R, and not the underlying statistical theory behind them. This is the first module in a series or courses in Data Science with R, covering many different subjects, from cleaning up datasets to creating interactive and reproducible reports with transferable skills that would apply to any scientific or business domain. The course will be a combination of lectures and practicals.
Research School for Socio-Economic and Natural Sciences of the Environment