BIO HELP LEARNING COURSE

R Programming and Statistics for Biologists

Learn R and the statistics every biologist needs: data frames, cleaning, hypothesis tests and publication-quality ggplot2 figures on real expression data.

Programming

◉ Beginner◷ 15 Hours▣ Certificate Included

Course Information

Everything you need to know before enrolling.

MODE OF LEARNINGOnline

LANGUAGEEnglish

Pre-Register for Live Training

Registration for the next live batch opens soon. Pre-register and our team will contact you with the batch dates, fees and registration link as soon as it opens.

Live online classes
Group & college batches
Certificate on completion

Pre-register for live training → Ask on WhatsApp Or email [email protected]

▤ Overview ☷ Curriculum ♙ Instructor ☆ Reviews ▣ FAQs

▤

About This Course

R is the standard language for statistics and visualization in biology, and the foundation for RNA-seq, microbiome and network analysis. This course teaches R from zero with biological datasets.

You learn R objects and data frames, clean messy tables with the tidyverse, apply descriptive statistics and hypothesis tests correctly, and create clear figures with ggplot2 inside reproducible R scripts and R Markdown reports.

Who this course is for

Life-science students with no coding experience
Researchers who analyse lab data in Excel and want something better
Learners preparing for RNA-seq or metagenomics courses

Prerequisites

Basic school mathematics and familiarity with spreadsheets.

Final project

Analyse and visualize a public gene-expression dataset, test differences between groups and produce a short R Markdown report.

◎

What You’ll Learn

✓Write and run R code in RStudio

✓Import, clean and reshape biological data tables

✓Calculate and interpret descriptive statistics

✓Choose and run the right hypothesis test

✓Correct for multiple testing

✓Create publication-quality plots with ggplot2

✓Produce reproducible reports with R Markdown

⌘

Tools & Technologies

RRStudiotidyversedplyrtidyrggplot2R MarkdownBioconductor

Course Curriculum

What you will learn, module by module

10 modules 15 hours of training 40 topics Certificate on completion

- Installing R and RStudio
- The console, scripts and the environment
- R as a calculator and variables
- Installing and loading packages
- Vectors, factors and lists
- Matrices and data frames
- Indexing and subsetting
- Missing values (NA)
- Reading CSV and Excel files
- Cleaning column names and types
- Filtering and selecting with dplyr
- Reshaping tables with tidyr
- mutate, arrange and summarise
- Grouped summaries per sample or condition
- Joining tables
- Writing clean, readable pipelines
- Mean, median, variance and standard deviation
- Distributions and outliers
- Summary tables by group
- Visual checks of your data
- The grammar of graphics
- Scatter plots, box plots and histograms
- Facets, themes and colour palettes
- Exporting high-resolution figures
- Null hypothesis and p-values
- t-tests and Wilcoxon tests
- Chi-square and Fisher's exact test
- Checking assumptions
- One-way ANOVA and post-hoc tests
- Correlation (Pearson and Spearman)
- Simple linear regression
- Interpreting model output
- Why multiple testing matters in genomics
- Bonferroni and FDR correction
- Working with an expression matrix
- Heatmaps and PCA basics
- Writing functions in R
- R Markdown reports
- Mini project: analyse an expression dataset
- Presenting your results

♙

Your Instructor

Bio Help Learning Educator

Bioinformatics Educator & Mentor

Learn from experienced educators and practitioners through practical, career-focused bioinformatics training.

Frequently Asked Questions

6 answers about this course

Do I need programming experience?

No. The course starts from installing R and uses biological examples throughout.

Should I learn Python or R first?

Either works. Choose R if you plan to do RNA-seq, microbiome or statistics-heavy work; choose Python for automation, machine learning and cheminformatics.

Which course should I take next?

RNA-Seq Data Analysis or Metagenomics, which both use R.

Will I get a certificate?

Yes, after completing all modules, the quizzes and the final project.

How do I get fee and batch details?

Pre-register on this page or contact us on WhatsApp, and our team will share the details.

How long will I have access to the course?

You get full access to all course materials for 3 months from the date of enrollment.

Still have a question?Our team usually replies within one working day.

Ask on WhatsApp →

WHAT OUR LEARNERS SAY

Real Stories. Real Growth.

Hear from learners building practical skills with Bio Help Learning.

★★★★☆

I really enjoyed the course and found it very useful: it gave a clear and practical overview of the whole WGS workflow, from raw reads to a VCF, and the hands-on sessions helped a lot.

Marc Peralta SerranoUniversity of BarcelonaWhole Genome Sequencing (WGS) Data Analysis Training

★★★★★

The workshop provided me an understanding of the principles and techniques involved in bioinformatics, molecular docking, protein-ligand interactions, homology modeling, and drug design.

Ridam BhowmickMaulana Abul Kalam Azad University of Technology, West Bengal.Molecular Docking and Drug Discovery

★★★★★

As i am from biotechnology background this workshop, actually very helpfull for me

Anushka ChavanDeogiri college AurangabadBioinformatics Training

★★★★★

Learn about different molecular docking tools.

Shovan NaskarIndian Institute of Technology (Banaras Hindu University), VaranasiBioinformatics Workshop

★★★★★

This workshop helped me to learn working with various softwares and also to develop an interest over drug designing

Subhodeep SahaUniversity of CalcuttaBioinformatics Training

★★★★★

From this workshop I learned many new things such as docking, about new websites,how to use Swiss software,basic bioinformatics etc, it's very helpful for me.

Sayan DuttaUniversity of CalcuttaBioinformatics Training

★★★★☆

The workshop was informative and provided valuable insights into bioinformatics tools and techniques.

Santhosh M EReva University BangaloreBioinformatics Tools and Techniques

★★★★★

The Drug Discovery Workshop was highly informative and helped me gain valuable knowledge about the drug discovery process, including molecular docking, drug–target interactions, and computational tools used in drug design.

ANUSHA P VCSIR-CCMB, Hyderabad IndiaDrug Discovery Workshop

View More Reviews →

OUR GLOBAL LEARNERS