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R is a powerful programming language widely used for data analysis, statistics, and machine learning. DataCamp’s R courses provide interactive, expert-led training to help you master data manipulation, visualization, and modeling. With hands-on exercises and real-world projects, you’ll build practical skills from day one. Start learning R today and unlock new opportunities in data science.

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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 hours
31.9K
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

22 hours
12.1K
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

A/B Testing in R

IntermediateSkill Level
4 hours
270
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Course

Intermediate R for Finance

BasicSkill Level
5 hours
264
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

Course

Credit Risk Modeling in R

IntermediateSkill Level
4 hours
259
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Course

Data Manipulation with data.table in R

BasicSkill Level
4 hours
259
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

Course

Dealing With Missing Data in R

BasicSkill Level
4 hours
236
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

Course

Bond Valuation and Analysis in R

IntermediateSkill Level
4 hours
230
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Course

Machine Learning in the Tidyverse

IntermediateSkill Level
5 hours
227
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Course

Factor Analysis in R

AdvancedSkill Level
4 hours
219
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Course

Network Analysis in R

IntermediateSkill Level
4 hours
213
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Course

GARCH Models in R

AdvancedSkill Level
4 hours
203
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.

Course

Developing R Packages

IntermediateSkill Level
4 hours
196
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

Market Basket Analysis in R

IntermediateSkill Level
4 hours
181
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

Course

Practicing Statistics Interview Questions in R

AdvancedSkill Level
4 hours
165
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Course

Financial Trading in R

IntermediateSkill Level
5 hours
147
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Course

Feature Engineering in R

IntermediateSkill Level
4 hours
146
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

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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