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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.

Course

Introduction to R

BasicSkill Level
4.8+
2,372 reviews
4 hr
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

4.4+
14 reviews
22 hr
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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Browse R courses and tracks

Course

Communicating with Data in the Tidyverse

BasicSkill Level
4.8+
193 reviews
4 hr
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Course

Modeling with tidymodels in R

IntermediateSkill Level
4.8+
173 reviews
4 hr
Learn to streamline your machine learning workflows with tidymodels.

Course

Inference for Numerical Data in R

AdvancedSkill Level
4.8+
100 reviews
4 hr
In this course youll learn techniques for performing statistical inference on numerical data.

Course

Inference for Categorical Data in R

AdvancedSkill Level
4.8+
107 reviews
4 hr
In this course youll learn how to leverage statistical techniques for working with categorical data.

Course

Categorical Data in the Tidyverse

BasicSkill Level
4.7+
165 reviews
4 hr
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Course

Credit Risk Modeling in R

IntermediateSkill Level
4.7+
83 reviews
4 hr
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Course

Sentiment Analysis in R

IntermediateSkill Level
4.7+
95 reviews
4 hr
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

Course

Fraud Detection in R

IntermediateSkill Level
4.7+
37 reviews
4 hr
Learn to detect fraud with analytics in R.

Course

Quantitative Risk Management in R

BasicSkill Level
4.8+
80 reviews
5 hr
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

Course

Machine Learning in the Tidyverse

IntermediateSkill Level
4.8+
108 reviews
5 hr
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Course

Hyperparameter Tuning in R

AdvancedSkill Level
4.8+
54 reviews
4 hr
Learn how to tune your models hyperparameters to get the best predictive results.

Course

Visualizing Geospatial Data in R

IntermediateSkill Level
4.5+
86 reviews
4 hr
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Course

Market Basket Analysis in R

IntermediateSkill Level
4.8+
84 reviews
4 hr
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Course

Data Manipulation with data.table in R

BasicSkill Level
4.6+
21 reviews
4 hr
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

Course

Bond Valuation and Analysis in R

IntermediateSkill Level
4.8+
83 reviews
4 hr
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Course

Building Dashboards with shinydashboard

BasicSkill Level
4.6+
74 reviews
4 hr
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Course

Developing R Packages

IntermediateSkill Level
4.7+
139 reviews
4 hr
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

Course

GARCH Models in R

AdvancedSkill Level
4.8+
95 reviews
4 hr
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

Related resources on 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 min

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 min

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 min

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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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