R Programming for Biology Training

R programming for biology training — base R, tidyverse, ggplot2, statistical modelling, and Bioconductor introduction for life-science data.

What is R Programming for Biology Training?

This programme makes R a real working tool for biologists. You move from base R fundamentals through tidyverse data wrangling, ggplot2 visualisation, statistical models, and a working introduction to Bioconductor.

What you will learn

Base R — vectors, data frames, lists, and control flow
Tidyverse — dplyr, tidyr, readr for data wrangling
ggplot2 — building publication-quality figures step by step
Statistical models — t-tests, ANOVA, linear models, GLMs
Reproducible workflows with R Markdown / Quarto
Bioconductor introduction — DESeq2, Biostrings, GenomicRanges concepts

Who this is for

Students and researchers from biotechnology, bioinformatics, life sciences, biostatistics, and computational biology who want a tool more powerful than SPSS / Excel and far more transferable to industry.

What you take away

NTHRYS training certificate detailing R scope
A reproducible R Markdown report on a real biological dataset
Working independence with R as your daily analysis tool
A portfolio piece you can showcase publicly (GitHub, blog, etc.)

Pick the field below to see specific R training options.

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