This course provides an introduction to data analysis using R, a powerful and widely used
open-source programming language for statistical computing. R is especially valuable in the
biological sciences, where it supports robust data manipulation, visualization, and statistical
modeling. Given its broad adoption in research and applied science, gaining proficiency in R is
an essential skill for modern biologists and environmental scientists.
The course is designed to build foundational knowledge of R, starting with basic concepts
such as data structures, object types, and control flows. Through a combination of lectures and
hands-on tutorials, students will learn to write simple scripts, perform basic statistical analyses,
generate visualizations, and use R Markdown to create dynamic, reproducible reports that
combine code, output, and interpretation. Emphasis will be placed on practical application:
students will work with real datasets and develop skills that can be directly applied to research
projects, lab work, and environmental decision-making.
- Professor: Pablo E Gutierrez Fonseca