R is a programming language for organizing and analyzing statistical data. R is a popular language for data mining, used for bioinformatics and statistical analysis – an essential skill in the era of big data.

This course serves as a comprehensive introduction to the R programming language. You’ll learn to manipulate and analyze data working with a real-world dataset (published in Ecology in 2013). You’ll start with an introduction to data analysis before developing rich experimental designs to collect reliable data. You’ll then plot your data using R and continue with fundamental statistical analysis. You’ll build your understanding of the data with more advanced analyses, using R to perform non-parametric tests and linear models. Finally, you’ll explore advanced data wrangling and predictive modeling.

This course will lead you on an easy, natural progression from linear modeling to mixed-effects analyses. By the end, you’ll be able to write advanced functions in R for any dataset.