Why R for Data Science?
Understand what sets R apart from Python and Excel, why academia and pharmaceutical companies standardise on it, and what you can do with R that nothing else does as well.
Why R for Data Science? is a free R Academy lesson on CoddyKit — lesson 2 of 3. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the R Academy learning path, one of 3 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Why pick R?
Great question! R was practically made for data science. Let's see what makes it such a natural fit. 🌟
Made for analysis
Things like averages, trends, and stats are built right in. No extra setup — they just work.
Beautiful charts
R turns boring numbers into clear, gorgeous charts. A picture really is worth a thousand rows. 📈
Thinks in tables
R loves tables of data, like a spreadsheet on steroids. If you've used Excel, you'll feel right at home.
Tiny commands, big results
One short line can summarize thousands of numbers. R does the heavy lifting for you.
print(mean(c(4, 8, 6)))Packages = superpowers
Need something extra? Add a free "package" — like installing an app — and unlock new abilities instantly.
A huge community
Millions of people use R. Stuck? Someone has already shared the answer online. You're never alone. 🤝
Trusted everywhere
Scientists, banks, and tech teams rely on R every day. Learning it puts a real skill in your pocket.
Beginner-friendly results
The best part? You see real output fast. That quick win keeps the learning fun and motivating.
You see the why
Now you know why R is a data scientist's go-to. Next: the cool things you can actually build with it! 🎉
Quick Check
One quick check. Why is R a favorite for data science?
Frequently asked questions
Is the “Why R for Data Science?” lesson free?
Yes — the full text of “Why R for Data Science?” is free to read here on the web, and the R Academy course includes 3 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the R Academy course, upgrade to CoddyKit PRO.
What will I learn in “Why R for Data Science?”?
Understand what sets R apart from Python and Excel, why academia and pharmaceutical companies standardise on it, and what you can do with R that nothing else does as well. You practise R Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start R Academy?
No prior experience is required. R Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 3, so you can start here or from the beginning and move at your own pace.
How long does the “Why R for Data Science?” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this R Academy lesson?
Yes. Every R Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- What is R?
- Why R for Data Science?
- What You Can Do with R