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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.

Курс

Введение в R

БазовыйУровень навыков
4.8+
2 446 отзывов
4 ч
Освойте основы анализа данных в R: векторы, списки и data frames, и практикуйте R на реальных наборах данных.

Трек

Основы программирования на R

4.4+
14 отзывов
22 ч
Повысьте уровень своих навыков программирования на R! Научитесь работать с распространёнными структурами данных, оптимизировать код и писать собственные функции.

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Просматривайте курсы и треки R

Курс

Machine Learning in the Tidyverse

Средний уровеньУровень навыков
4.8+
115 отзывов
5 ч
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Курс

Handling Missing Data with Imputations in R

Продвинутый уровеньУровень навыков
4.7+
104 отзыва
4 ч
Diagnose, visualize and treat missing data with a range of imputation techniques with tips to improve your results.

Курс

Визуализация данных в Tidyverse

БазовыйУровень навыков
4.8+
198 отзывов
4 ч
Используйте возможности tidyverse для создания графики уровня публикации и отчетов с фирменным стилем, которые наглядно передают результаты.

Курс

Market Basket Analysis in R

Средний уровеньУровень навыков
4.8+
95 отзывов
4 ч
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Курс

Visualizing Geospatial Data in R

Средний уровеньУровень навыков
4.5+
87 отзывов
4 ч
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Курс

Modeling with tidymodels in R

Средний уровеньУровень навыков
4.8+
182 отзыва
4 ч
Learn to streamline your machine learning workflows with tidymodels.

Курс

Introduction to Portfolio Analysis in R

БазовыйУровень навыков
4.8+
150 отзывов
5 ч
Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Курс

Support Vector Machines in R

Средний уровеньУровень навыков
4.8+
91 отзыв
4 ч
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

Курс

Credit Risk Modeling in R

Средний уровеньУровень навыков
4.7+
87 отзывов
4 ч
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Курс

Quantitative Risk Management in R

БазовыйУровень навыков
4.8+
83 отзыва
5 ч
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

Курс

HR Analytics: Exploring Employee Data in R

Средний уровеньУровень навыков
4.8+
38 отзывов
5 ч
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

Курс

Fraud Detection in R

Средний уровеньУровень навыков
4.7+
38 отзывов
4 ч
Learn to detect fraud with analytics in R.

Курс

Developing R Packages

Средний уровеньУровень навыков
4.7+
152 отзыва
4 ч
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

Курс

Bond Valuation and Analysis in R

Средний уровеньУровень навыков
4.8+
89 отзывов
4 ч
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Курс

Работа с данными с помощью data.table в R

БазовыйУровень навыков
4.6+
22 отзыва
4 ч
Освойте ключевые концепции работы с данными: фильтрация, выборка и расчет групповой статистики с помощью data.table.

Курс

R для пользователей SAS

БазовыйУровень навыков
4.7+
28 отзывов
4 ч
Узнайте, как перенести знания SAS в R и анализировать данные с помощью этого бесплатного и мощного языка программирования.

Курс

A/B-тестирование в R

Средний уровеньУровень навыков
4.8+
91 отзыв
4 ч
Изучите основы A/B-тестирования в R: проектируйте эксперименты, анализируйте данные, прогнозируйте результаты и представляйте их с помощью визуализаций.

Курс

Case Study: Analyzing City Time Series Data in R

Средний уровеньУровень навыков
4.8+
145 отзывов
4 ч
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.

Курс

Programming with dplyr

Средний уровеньУровень навыков
4.8+
50 отзывов
4 ч
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

Курс

Конструирование признаков в R

Средний уровеньУровень навыков
4.7+
150 отзывов
4 ч
Изучите принципы feature engineering для моделей машинного обучения и научитесь применять их с помощью фреймворка R tidymodels.

Связанные ресурсы по теме R

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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.
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Elena Kosourova

14 мин

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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.
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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.
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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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