A place for beginner-friendly and biologist-friendly programming and data science courses.
For learning how to code, 📂 Coding-Intro is for you. More courses are on the way!
If you’re a teacher take a look at our 📂 Classroom Activities
📘 Coding-Intro : A beginner-friendly programming course covering the basics of R and Python.
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Chapter 1 - The Basics
📖 Learn the fundamentals of R programming, including syntax, data structures, and basic operations.
🔗 Open the course in Google Colab: -
Chapter 2 - What are libraries ?
📖 Learn how to use libraries and why they are so important and useful in programming.
🔗 Open the course in Google Colab:
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Chapter 1 - Basic functions
📖 Learn the basic operations and functions.
🔗 Open the course in Google Colab: -
Chapter 2 - A simple guide to libraries
📖 Learn how to use simple libraries and why libraries are so important and useful in programming.
🔗 Open the course in Google Colab:
💡 Code and tools designed for interactive classroom sessions, to explore key concepts in
programming, statistics, artificial intelligence, and biology.
🍬 SweetSpot — The Power of Aggregated Data
📦 A playful experiment using a jar of sweets to demonstrate how data science, visualization, and statistics can reveal the surprising power of group estimation. Also, learn how to make graphs with the ggplit package in R!
🧬 Intro to Biopython — Hands-on Genomics for Beginners
📦 A beginner-friendly introduction to Biopython, showing how to access NCBI databases, download real genomic data (the woolly mammoth’s mitochondrial genome!), and visualize gene annotations using Python tools. Great for students in bioinformatics and biotechnology.
✔ Useful libraries for the beginner
✔ Machine Learning Basics
✔ Data Science Fundamentals
✔ etc...
We are actively working on new content to expand your programming skills!
💡 Follow the repository to get notified of updates and new courses.
Have questions or suggestions? Feel free to open an issue or reach out! 🚀