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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+
2,641 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

Data Manipulation with data.table in R

BasicSkill Level
4.7+
24 reviews
4 hr
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

Course

A/B Testing in R

IntermediateSkill Level
4.8+
96 reviews
4 hr
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Course

Programming with dplyr

IntermediateSkill Level
4.7+
52 reviews
4 hr
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

Course

Quantitative Risk Management in R

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

Course

R For SAS Users

BasicSkill Level
4.7+
29 reviews
4 hr
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

Course

Machine Learning in the Tidyverse

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

Course

Factor Analysis in R

AdvancedSkill Level
4.7+
165 reviews
4 hr
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Course

Defensive R Programming

IntermediateSkill Level
4.8+
91 reviews
4 hr
Learn defensive programming in R to make your code more robust.

Course

Credit Risk Modeling in R

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

Course

Developing R Packages

IntermediateSkill Level
4.7+
159 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

Visualizing Time Series Data in R

IntermediateSkill Level
4.8+
186 reviews
4 hr
Learn how to visualize time series in R, then practice with a stock-picking case study.

Course

Categorical Data in the Tidyverse

BasicSkill Level
4.8+
179 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

Modeling with tidymodels in R

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

Course

Bond Valuation and Analysis in R

IntermediateSkill Level
4.8+
91 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

Inference for Numerical Data in R

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

Course

Financial Trading in R

IntermediateSkill Level
4.8+
78 reviews
5 hr
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Course

Inference for Categorical Data in R

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

Course

Feature Engineering in R

IntermediateSkill Level
4.7+
157 reviews
4 hr
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

Course

Case Studies: Network Analysis in R

BasicSkill Level
4.7+
50 reviews
4 hr
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

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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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