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

Support Vector Machines in R

СреднийУровень мастерства
4.8+
133
4 hours
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

Course

Fraud Detection in R

СреднийУровень мастерства
4.8+
133
4 hours
Learn to detect fraud with analytics in R.

Course

Dimensionality Reduction in R

БазовыйУровень мастерства
4.8+
132
4 hours
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Course

Feature Engineering in R

СреднийУровень мастерства
4.7+
131
4 hours
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

Course

Business Process Analytics in R

СреднийУровень мастерства
4.8+
118
4 hours
Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

Course

Practicing Statistics Interview Questions in R

ПередовойУровень мастерства
4.7+
117
4 hours
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Course

ChIP-seq with Bioconductor in R

СреднийУровень мастерства
4.7+
112
4 hours
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Course

Life Insurance Products Valuation in R

БазовыйУровень мастерства
4.8+
111
4 hours
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Course

Building Dashboards with flexdashboard

СреднийУровень мастерства
4.7+
111
4 hours
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

Course

Bond Valuation and Analysis in R

СреднийУровень мастерства
4.9+
110
4 hours
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Course

Financial Trading in R

СреднийУровень мастерства
4.8+
103
5 hours
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Course

Equity Valuation in R

СреднийУровень мастерства
4.8+
100
4 hours
Learn the fundamentals of valuing stocks.

Course

Intermediate Regular Expressions in R

СреднийУровень мастерства
4.9+
92
4 hours
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

Course

Intermediate Portfolio Analysis in R

СреднийУровень мастерства
4.8+
89
5 hours
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.

Course

Bayesian Regression Modeling with rstanarm

ПередовойУровень мастерства
4.8+
86
4 hours
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

Course

Bayesian Modeling with RJAGS

ПередовойУровень мастерства
4.8+
83
4 hours
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

Course

Case Studies: Network Analysis in R

БазовыйУровень мастерства
4.7+
78
4 hours
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

Course

Building Response Models in R

СреднийУровень мастерства
4.8+
75
4 hours
Learn to build simple models of market response to increase the effectiveness of your marketing plans.

Course

Analyzing US Census Data in R

СреднийУровень мастерства
4.8+
70
4 hours
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Course

Parallel Programming in R

СреднийУровень мастерства
4.7+
66
4 hours
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Course

Programming with dplyr

СреднийУровень мастерства
4.7+
62
4 hours
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

Course

Optimizing R Code with Rcpp

СреднийУровень мастерства
4.9+
60
4 hours
Use C++ to dramatically boost the performance of your R code.

Course

Defensive R Programming

СреднийУровень мастерства
4.9+
59
4 hours
Learn defensive programming in R to make your code more robust.

Course

Forecasting Product Demand in R

СреднийУровень мастерства
4.6+
58
4 hours
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Course

Introduction to Anomaly Detection in R

СреднийУровень мастерства
4.8+
57
4 hours
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

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.