Перейти к основному содержимому
Дом

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.

Создайте бесплатный аккаунт

или

Продолжая, вы принимаете наши Условия использования, нашу Политику конфиденциальности и подтверждаете, что ваши данные хранятся в США.
Group

Обучение двух или более человек?

Попробуйте DataCamp for Business

Recomended For Starters

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

Course

Introduction to R

БазовыйУровень мастерства
4.8+
32.6K
4 hours
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Track

R Programming Fundamentals

12.1K
22 hours
Level-up your R programming skills! Learn how to work with common data structures, optimize code, and write your own functions.

Не знаете, с чего начать?

Пройдите Тестирование

Просмотрите курсы и направления обучения по R

Course

Probability Puzzles in R

БазовыйУровень мастерства
4.8+
49
4 hours
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Course

Mixture Models in R

СреднийУровень мастерства
4.8+
47
4 hours
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

Course

Scalable Data Processing in R

ПередовойУровень мастерства
4.6+
41
4 hours
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

Course

Predictive Analytics using Networked Data in R

СреднийУровень мастерства
4.7+
32
4 hours
Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

Track

R Programming Fundamentals

12.1K
22 hours
Level-up your R programming skills! Learn how to work with common data structures, optimize code, and write your own functions.

Track

Associate Data Scientist in R

4.8K
88 hours
Learn how to use R for data science, from data manipulation to machine learning. Gain the career-building skills you need to succeed in data science!

Track

Data Analyst in R

3K
36 hours
From exploratory data analysis with dplyr to data visualization with ggplot2—gain the career-building R skills you need to succeed as a data analyst!

Track

Statistician in R

931
52 hours
A statistician collects and analyzes data and helps companies make sense of quantitative data, including spotting trends and making predictions.

Track

Statistics Fundamentals in R

813
20 hours
Discover the power of statistics in R. Learn the key statistical concepts, topics, and techniques used by data scientists and statisticians every day.

Track

Analyzing Genomic Data in R

628
16 hours
Start exploring the world of computational biology with essential Bioconductor packages and workflows for next-generation sequencing data analysis.

Track

R Developer

557
52 hours
Gain the career-building skills you need to succeed as an R Developer by learning to write and package code efficiently. No coding experience needed!

Track

Data Visualization in R

523
12 hours
Bring your data into focus with data visualizations in R using ggplot2. Learn the graphical and plot-building skills to tell better data stories.

Track

Time Series in R

515
25 hours
Learn how to extract meaningful insights from time series data in R. Explore how to model, forecast, and visualize time series data.

Track

Tidyverse Fundamentals in R

422
20 hours
Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.

Track

Data Scientist in R

409
27 hours
Learn data science with R, from data manipulation to machine learning, and gain the skills needed for the Data Scientist in R certification!

Track

Quantitative Analyst in R

388
67 hours
Ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.

Track

Data Manipulation in R

365
16 hours
Take the pain out of data manipulation using dplyr and tidyr. Learn how to transform, sort, and filter your data, ready for quick analysis.

Track

Machine Learning Fundamentals in R

351
24 hours
Predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.

Track

Statistical Inference in R

259
16 hours
A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

Track

Shiny Fundamentals in R

229
16 hours
Learn how to use Shiny, a popular R package, to build highly interactive web applications and share your analyses as dashboards and visualizations.

Track

Importing & Cleaning Data in R

218
14 hours
Gain the real-world skills you need to import and clean your data when working in R—making it possible for you to reveal the insights that matter.

Track

Text Mining in R

199
16 hours
Discover text mining in R and learn how to extract exciting insights from tweets, product reviews, and books through sentiment analysis in R.

Track

Marketing Analytics in R

183
24 hours
Grow the R skills you need to work with social media data, perform market basket analysis, and use machine learning to guide your marketing decisions.

Track

Big Data in R

142
16 hours
Work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.

Track

Interactive Data Visualization in R

112
16 hours
Build beautiful interactive maps, explore your data by zooming into and hovering over plots, and design engaging, dynamic charts in R.

Дополнительные материалы по теме R

R Project

blog

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 мин

blog

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 мин

cheat sheet

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 мин

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.

    Другие технологии и темы

    technologies

    topics

    Развивайте свои навыки работы с данными с помощью DataCamp для мобильных устройств.

    Успевайте в обучении на ходу с помощью наших мобильных курсов и ежедневных 5-минутных заданий по программированию.