Course overview
Introduction to R for Life Scientists is a beginner-friendly coding course that teaches you how to use R in Google Colab for accurate and robust immunoassay data analysis. The course is designed for life scientists who want to learn R in a practical scientific setting, with clear, step-by-step guidance and examples you can apply to real research data.
You will build confidence with the basics of R, then move into data import, graphing, and analysis workflows commonly used in the life sciences.
Enroll for free nowWhat you will learn
- How to use R in Google Colab.
- How to set up your R environment.
- How to import and work with data.
- How to create graphs in R using ggplot2.
- How to combine and refine plots with the cowplot package.
- How to perform accurate and robust immunoassay data analysis.
Frequently asked questions
Do I need any coding experience?
No. This course is designed for beginners and assumes little to no prior programming experience.
What kind of data will I work with?
The course uses biological and laboratory examples, including real-world datasets from common research workflows.
Who is this course suitable for?
It is built specifically for biologists, researchers, students, and lab professionals who want to learn R in a scientific context.
What will I be able to do after the course?
You will be able to write basic R scripts, handle data files, use core R structures, and start applying R to biological data analysis.