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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
40.7K
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

Introduction to R

基本的技能水平
4 hours
40.7K
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Courses

Intermediate R

基本的技能水平
6 hours
8.7K
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Courses

Introduction to the Tidyverse

基本的技能水平
4 hours
8.2K
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Courses

Data Manipulation with dplyr

基本的技能水平
4 hours
5K
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Courses

Introduction to Statistics in R

中间的技能水平
4 hours
4.9K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

Courses

Introduction to Regression in R

中间的技能水平
4 hours
2.8K
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Courses

Introduction to Importing Data in R

基本的技能水平
3 hours
2.6K
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Courses

Exploratory Data Analysis in R

中间的技能水平
4 hours
2.1K
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Courses

Joining Data with dplyr

基本的技能水平
4 hours
2K
Learn to combine data across multiple tables to answer more complex questions with dplyr.

Courses

Introduction to R for Finance

基本的技能水平
4 hours
1.2K
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Courses

Hypothesis Testing in R

中间的技能水平
4 hours
1.2K
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Courses

Writing Efficient R Code

中间的技能水平
4 hours
1.2K
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Courses

Cleaning Data in R

中间的技能水平
4 hours
1.1K
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Courses

Reshaping Data with tidyr

中间的技能水平
4 hours
998
Transform almost any dataset into a tidy format to make analysis easier.

Courses

Intermediate Regression in R

中间的技能水平
4 hours
966
Learn to perform linear and logistic regression with multiple explanatory variables.

Courses

Sampling in R

中间的技能水平
4 hours
884
Master sampling to get more accurate statistics with less data.

Courses

Communicating with Data in the Tidyverse

基本的技能水平
4 hours
857
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Courses

Linear Algebra for Data Science in R

中间的技能水平
4 hours
824
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Courses

Time Series Analysis in R

中间的技能水平
4 hours
791
Learn the core techniques necessary to extract meaningful insights from time series data.

Courses

Reporting with R Markdown

中间的技能水平
4 hours
776
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

Courses

Foundations of Probability in R

基本的技能水平
4 hours
717
In this course, youll learn about the concepts of random variables, distributions, and conditioning.

Courses

Introduction to Bioconductor in R

中间的技能水平
4 hours
634
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Courses

Manipulating Time Series Data in R

中间的技能水平
4 hours
620
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Courses

Building Web Applications with Shiny in R

中间的技能水平
4 hours
584
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.

Courses

Supervised Learning in R: Regression

中间的技能水平
4 hours
583
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Courses

Forecasting in R

基本的技能水平
5 hours
575
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

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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