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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.

课程

R 入门

基础技能水平
4.8+
2,368 条评价
4小时
掌握 R 数据分析基础，包括向量、列表和数据框，并用真实数据集实践 R。

学习路径

R编程基础

4.4+
14 条评价
22小时
提升你的 R 编程技能！学习如何使用常见数据结构、优化代码，并编写自己的函数。

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浏览 R 课程和学习路径

课程

Building Web Applications with Shiny in R

中级技能水平
4.7+
214 条评价
4小时
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

课程

Generalized Linear Models in R

中级技能水平
4.8+
190 条评价
4小时
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

课程

Unsupervised Learning in R

中级技能水平
4.7+
99 条评价
4小时
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

课程

Experimental Design in R

中级技能水平
4.7+
320 条评价
4小时
In this course youll learn about basic experimental design, a crucial part of any data analysis.

课程

Foundations of Probability in R

基础技能水平
4.7+
443 条评价
4小时
In this course, youll learn about the concepts of random variables, distributions, and conditioning.

课程

Supervised Learning in R: Regression

中级技能水平
4.6+
97 条评价
4小时
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

课程

Intermediate Importing Data in R

中级技能水平
4.8+
268 条评价
3小时
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

课程

Cluster Analysis in R

中级技能水平
4.8+
69 条评价
4小时
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

课程

Dealing With Missing Data in R

基础技能水平
4.7+
135 条评价
4小时
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

课程

Visualizing Time Series Data in R

中级技能水平
4.8+
174 条评价
4小时
Learn how to visualize time series in R, then practice with a stock-picking case study.

课程

Machine Learning with caret in R

中级技能水平
4.8+
42 条评价
4小时
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

课程

RNA-Seq with Bioconductor in R

中级技能水平
4.7+
138 条评价
4小时
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

课程

Factor Analysis in R

高级技能水平
4.7+
145 条评价
4小时
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

课程

Analyzing Survey Data in R

中级技能水平
4.8+
209 条评价
4小时
Learn survey design using common design structures followed by visualizing and analyzing survey results.

课程

Visualization Best Practices in R

基础技能水平
4.8+
302 条评价
1小时
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

课程

Web Scraping in R

中级技能水平
4.7+
89 条评价
4小时
Learn how to efficiently collect and download data from any website using R.

课程

Working with Dates and Times in R

中级技能水平
4.8+
90 条评价
4小时
Learn the essentials of parsing, manipulating and computing with dates and times in R.

课程

Intermediate R for Finance

基础技能水平
4.8+
39 条评价
5小时
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

课程

A/B Testing in R

中级技能水平
4.8+
89 条评价
4小时
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

课程

Inference for Numerical Data in R

高级技能水平
4.8+
100 条评价
4小时
In this course youll learn techniques for performing statistical inference on numerical data.

课程

Survival Analysis in R

中级技能水平
4.7+
186 条评价
4小时
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

R 相关资源

R Project

博客

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

博客

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

速查表

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

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    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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