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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 hours
40.9K
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
14.9K
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

Introduction to R

BasicSkill Level
4 hours
40.9K
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Course

Intermediate R

BasicSkill Level
6 hours
8.7K
Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

Course

Introduction to the Tidyverse

BasicSkill Level
4 hours
8.2K
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Course

Data Manipulation with dplyr

BasicSkill Level
4 hours
4.9K
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Course

Introduction to Statistics in R

IntermediateSkill Level
4 hours
4.9K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

Course

Introduction to Regression in R

IntermediateSkill Level
4 hours
2.9K
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Course

Introduction to Importing Data in R

BasicSkill Level
3 hours
2.6K
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Course

Exploratory Data Analysis in R

IntermediateSkill Level
4 hours
2.1K
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Course

Joining Data with dplyr

BasicSkill Level
4 hours
2K
Learn to combine data across multiple tables to answer more complex questions with dplyr.

Course

Introduction to R for Finance

BasicSkill Level
4 hours
1.2K
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Course

Hypothesis Testing in R

IntermediateSkill Level
4 hours
1.2K
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Course

Writing Efficient R Code

IntermediateSkill Level
4 hours
1.2K
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

Course

Cleaning Data in R

IntermediateSkill Level
4 hours
1.1K
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Course

Intermediate Regression in R

IntermediateSkill Level
4 hours
1K
Learn to perform linear and logistic regression with multiple explanatory variables.

Course

Reshaping Data with tidyr

IntermediateSkill Level
4 hours
1K
Transform almost any dataset into a tidy format to make analysis easier.

Course

Sampling in R

IntermediateSkill Level
4 hours
889
Master sampling to get more accurate statistics with less data.

Course

Communicating with Data in the Tidyverse

BasicSkill Level
4 hours
848
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Course

Linear Algebra for Data Science in R

IntermediateSkill Level
4 hours
819
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Course

Time Series Analysis in R

IntermediateSkill Level
4 hours
801
Learn the core techniques necessary to extract meaningful insights from time series data.

Course

Reporting with R Markdown

IntermediateSkill Level
4 hours
785
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

Course

Foundations of Probability in R

BasicSkill Level
4 hours
718
In this course, youll learn about the concepts of random variables, distributions, and conditioning.

Course

Introduction to Bioconductor in R

IntermediateSkill Level
4 hours
634
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Course

Manipulating Time Series Data in R

IntermediateSkill Level
4 hours
627
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Course

Building Web Applications with Shiny in R

IntermediateSkill Level
4 hours
609
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Course

Supervised Learning in R: Regression

IntermediateSkill Level
4 hours
581
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

Course

Forecasting in R

BasicSkill Level
5 hours
577
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

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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