R courses

Q: Do I need any prior programming experience to start learning R?

No prior programming experience is required to start learning R. Our courses are designed to be accessible to beginners, with step-by-step guidance that makes learning R straightforward—even for those new to programming.

Q: How can learning R benefit my career?

Learning R can significantly enhance your career, especially if you are interested in fields like data analysis, statistics, or research. As a language specifically designed for statistical analysis and data visualization, R skills are highly sought after in industries ranging from healthcare and finance to academia and marketing, opening up a wide range of job opportunities and pathways for professional growth.

Q: How do I get started with R?

Beginning your journey with R first involves grasping its fundamental concepts—such as understanding vectors, factors, lists, and data frames. Our Introduction to R programming course covers these basics, providing a solid foundation for further exploration into the R programming language.

Q: What is the difference between R and Python?

Python is a general-purpose programming language, developed to handle a wide range of tasks from data science to web development, making it highly versatile and popular for various applications. R, on the other hand, was created for statistical analysis and excels in data visualization and exploratory data analysis.

Q: Is R worth learning in 2025?

Absolutely, R is worth learning in 2025, especially for those focused on specialized areas like statistical analysis, data visualization, and academic research. Despite the rapid growth of Python, R maintains a strong presence in data science and analytics, valued for its advanced statistical capabilities and dedicated community.

Q: Does Datacamp offer an R Certification?

DataCamp offers two R certifications: Data Analyst and Data Scientist. Both are available in R or Python. If you are interested in either, check out our Certifications here .

R is a language for data analysis, statistics, and machine learning. DataCamp’s expert-led R courses offer interactive practice with projects to build job-ready skills fast. Start learning R today and unlock new data science opportunities.

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Recomended For Starters

Become an R programmer and develop your R skills with interactive courses, tracks and projects, curated by real-world experts.

강의

R 입문

기초기술 수준

4 시간

37K

R을 활용한 데이터 분석의 기초를 익히세요. 벡터, 리스트, 데이터 프레임 등을 포함하며 실제 데이터 세트로 R을 연습해 보세요.

트랙

R 프로그래밍 기초

22 시간

13.8K

R 프로그래밍 실력을 한 단계 업그레이드하세요! 일반적인 데이터 구조를 다루는 방법, 코드를 최적화하는 방법, 그리고 자신만의 함수를 작성하는 방법을 배우세요.

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평가 받기

R 강의 및 트랙 둘러보기

트랙

금융 기초 R에서

28 시간

119

R에서 xts, zoo, tidyquant, PortfolioAnalytics 패키지를 사용하여 데이터 기반 재무 의사 결정을 내리는 데 필요한 기초 기술을 습득하세요.

트랙

대화형 데이터 시각화 R에서

16 시간

115

R을 사용하여 아름다운 대화형 지도를 만들고, 그래프를 확대하고 마우스 커서를 올려놓아 데이터를 탐색하고, 매력적이고 역동적인 차트를 디자인하세요.

트랙

중급 Tidyverse 도구 상자

17 시간

tidyverse를 활용하여 더 효율적인 코드와 깨끗한 데이터로 머신러닝 모델을 더 효과적으로 구축하는 방법을 배우세요.

R 관련 리소스

블로그

The Top 8 R Project Ideas for 2026

Discover what R is and all the benefits for using it while giving examples and new ideas for a project.

Elena Kosourova

14분

블로그

Python vs R for Data Science: Which Should You Learn?

This guide will help you answer one of the most frequently asked questions of newcomers in data science and help you choose between R and Python.

Javier Canales Luna

10분

치트 시트

Getting Started with R Cheat Sheet

This cheat sheet will cover an overview of getting started with R. Use it as a handy, high-level reference for a quick start with R. For more detailed R Cheat Sheets, follow the highlighted cheat sheets below.

Richie Cotton

9분

Ready to apply your skills?

What is R?

R is a statistical computing and graphics system, consisting of the R language and a run-time environment. Originally designed for statistical purposes, it excels in data analysis, mining, modeling, and creating visualizations. Primarily used for statistics and data science, its applications extend to AI, machine learning, financial analysis, and more. Being open-source and equipped with a wide array of functions and packages, R is popular across multiple fields including academia, finance, and social media.