R Programming
for Biologists
Learn Data Analysis, Statistics and Bioinformatics with R. A hands-on, beginner-friendly live course that takes biologists from zero coding to confident data analysis in R.
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Learn from a research-first platform, not a slideshow factory
Since 2021, BioPC has trained thousands of students and published peer-reviewed research. You learn the skills the way researchers actually use them.
Research
A research-first platform with peer-reviewed publications since 2021.
Training
Signature programs training thousands of students across 30+ universities.
Community
An active community of young researchers and mentors supporting each other.
Certificates
Recognized certificates that strengthen CVs and higher-study applications.
Expert instructors
Learn from published researchers who use these tools every day.
Hands-on learning
Every concept is paired with real data, tasks, and guided practice.
Everything you need to go from zero to confident in R
Built for biologists who want practical, publication-ready data skills — without a computer-science background.
No coding experience needed
We start from absolute zero — installing R, writing your first line, and building up step by step.
Live online classes
Interactive sessions where you can ask questions in real time and code along with the instructor.
Hands-on biology projects
Work with real datasets — gene expression, clinical data, ecology — not toy examples.
Verified certificate
Earn a BioPC certificate of completion to showcase on your CV and LinkedIn.
Lifetime recordings
Miss a class or want a refresher? Every session is recorded and yours to keep.
Community support
Join a private group of biologists learning R together, with peer and mentor help.
Research focused
Learn the exact analyses and plots reviewers expect in publications and theses.
Career oriented
R is a core skill for bioinformatics, data science, and higher-study applications abroad.
Made for students and researchers across the life sciences
If you work with biological data — or want to — this course is for you.
A 6-week roadmap from your first line of code to a full analysis
Every week pairs concepts with a hands-on project using real biological data.
- Installing R and RStudio, tour of the interface
- R as a calculator, objects, and assignment
- Data types and vectors
- Your first script — good habits from day one
🎯 Project: Set up your environment and reproduce a simple analysis.
Md. Hridoy Ahmed
Researcher · Molecular & Computational Biologist · Founder, BioPC
A molecular and computational biology researcher trained in Genetic Engineering & Biotechnology at the University of Chittagong, and Research Associate at the Functional Genomics & Proteomics Laboratory (FGPL). His work spans bioinformatics, structure-based drug discovery, and immunoinformatics. He founded BioPC to make research skills — including R and data analysis — accessible to biologists, and has trained 3,000+ learners across 25+ programs.
- Research Associate, Functional Genomics & Proteomics Lab (FGPL), University of Chittagong
- First-author publications in Q1 journals (incl. J. Biomolecular Structure & Dynamics, IF 5.2)
- NST Fellow (Govt. of Bangladesh) · Best Research Paper Presenter, Darwin International Conference
- Founder of BioPC — 3,000+ learners trained across 25+ programs
Students who started from zero
Real feedback from biologists who took the leap into R with BioPC.
“I had never written a line of code before. By week 4 I was making my own ggplot figures for my thesis. The live classes made all the difference.”
Questions, answered
Reserve your seat
Only 60 seats per batch. Complete payment, then fill the form to confirm your registration.
One-time payment. Includes all live classes, recordings, and certificate.
How to pay
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After paying, enter your Transaction ID and upload a screenshot of the payment in the form. We verify and confirm your seat by email.
Start your journey into R
Join the next R Programming for Biologists cohort. Beginner-friendly, live, and research-focused — with a certificate and lifetime recordings.