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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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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。

课程

Tidyverse 入门

基础技能水平
4.8+
1,116 条评价
4小时
用 tidyverse 开始探索并可视化自己的数据，这是一套强大且流行的 R 数据科学工具集。

课程

R 中级

基础技能水平
4.8+
957 条评价
6小时
继续你的 R 忍者之旅，学习条件语句、循环和向量函数。

课程

R 统计学入门

中级技能水平
4.7+
2,022 条评价
4小时
提升统计技能，学习如何收集、分析数据并得出准确结论。

课程

R 中的回归入门

中级技能水平
4.8+
1,430 条评价
4小时
用 R 实现、分析并解读回归分析，预测房价和广告点击率。

课程

使用 dplyr 进行数据处理

基础技能水平
4.8+
693 条评价
4小时
通过学习如何使用 dplyr 转换和处理数据，提升 Tidyverse 技能。

课程

R 中的假设检验

中级技能水平
4.7+
942 条评价
4小时
了解如何以及何时在 R 中使用假设检验，包括 t 检验、比例检验和卡方检验。

课程

R 数据导入入门

基础技能水平
4.7+
352 条评价
3小时
在本课程中，您将学习如何在 R 中使用 readxl 和 data.table 等工具读取 CSV、XLS 和文本文件。

课程

Exploratory Data Analysis in R

中级技能水平
4.7+
1,197 条评价
4小时
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

课程

Intermediate Regression in R

中级技能水平
4.7+
764 条评价
4小时
Learn to perform linear and logistic regression with multiple explanatory variables.

课程

Joining Data with dplyr

基础技能水平
4.7+
1,205 条评价
4小时
Learn to combine data across multiple tables to answer more complex questions with dplyr.

课程

Cleaning Data in R

中级技能水平
4.7+
771 条评价
4小时
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

课程

Sampling in R

中级技能水平
4.7+
824 条评价
4小时
Master sampling to get more accurate statistics with less data.

课程

Writing Efficient R Code

中级技能水平
4.7+
135 条评价
4小时
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

课程

ARIMA Models in R

基础技能水平
4.8+
306 条评价
4小时
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

课程

Reshaping Data with tidyr

中级技能水平
4.8+
452 条评价
4小时
Transform almost any dataset into a tidy format to make analysis easier.

课程

Time Series Analysis in R

中级技能水平
4.8+
88 条评价
4小时
Learn the core techniques necessary to extract meaningful insights from time series data.

课程

Manipulating Time Series Data in R

中级技能水平
4.8+
283 条评价
4小时
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

课程

Modeling with Data in the Tidyverse

中级技能水平
4.8+
227 条评价
4小时
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

课程

Introduction to Bioconductor in R

中级技能水平
4.7+
112 条评价
4小时
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

课程

Forecasting in R

基础技能水平
4.9+
51 条评价
5小时
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

课程

Reporting with R Markdown

中级技能水平
4.7+
321 条评价
4小时
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

课程

Linear Algebra for Data Science in R

中级技能水平
4.7+
133 条评价
4小时
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

课程

Introduction to R for Finance

基础技能水平
4.7+
94 条评价
4小时
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

课程

Foundations of Inference in R

中级技能水平
4.7+
50 条评价
4小时
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

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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