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R courses

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.

Courses

Introduction to R

基本的技能水平
4 hours
40.9K
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Tracks

R Programming Fundamentals

22 hours
14.9K
Level-up your R programming skills! Learn how to work with common data structures, optimize code, and write your own functions.

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Courses

Visualizing Geospatial Data in R

中间的技能水平
4 hours
236
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Courses

Building Dashboards with shinydashboard

基本的技能水平
4 hours
216
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Courses

A/B Testing in R

中间的技能水平
4 hours
212
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Courses

Factor Analysis in R

先进的技能水平
4 hours
204
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Courses

GARCH Models in R

先进的技能水平
4 hours
199
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

Courses

Machine Learning in the Tidyverse

中间的技能水平
5 hours
186
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Courses

Developing R Packages

中间的技能水平
4 hours
179
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

Courses

Market Basket Analysis in R

中间的技能水平
4 hours
173
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Courses

Network Analysis in R

中间的技能水平
4 hours
172
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Courses

R For SAS Users

基本的技能水平
4 hours
152
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

Courses

Feature Engineering in R

中间的技能水平
4 hours
138
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

Courses

Credit Risk Modeling in R

中间的技能水平
4 hours
138
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Courses

Support Vector Machines in R

中间的技能水平
4 hours
134
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

Courses

Dimensionality Reduction in R

基本的技能水平
4 hours
132
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Courses

Practicing Statistics Interview Questions in R

先进的技能水平
4 hours
126
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

关于R相关资源

R Project

blogs

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's photo

Elena Kosourova

14分钟

blogs

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's photo

Javier Canales Luna

10分钟

cheat sheets

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's photo

Richie Cotton

9分钟

Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets
to solve real-world problems in your browser

    Frequently asked questions

    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.

    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.

    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.

    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.

    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.

    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.

    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.

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