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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

Market Basket Analysis in R

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

Course

ChIP-seq with Bioconductor in R

IntermediateSkill Level
4.7+
53 reviews
4 hr
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Course

Fraud Detection in R

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

Course

Scalable Data Processing in R

AdvancedSkill Level
4.7+
28 reviews
4 hr
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

Course

Analyzing Social Media Data in R

IntermediateSkill Level
4.8+
91 reviews
4 hr
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Course

Analyzing US Census Data in R

IntermediateSkill Level
4.8+
38 reviews
4 hr
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Course

Sentiment Analysis in R

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

Course

Dimensionality Reduction in R

BasicSkill Level
4.7+
98 reviews
4 hr
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Course

GARCH Models in R

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

Course

Building Dashboards with flexdashboard

IntermediateSkill Level
4.7+
51 reviews
4 hr
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

Course

Bayesian Modeling with RJAGS

AdvancedSkill Level
4.8+
53 reviews
4 hr
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

Course

Optimizing R Code with Rcpp

IntermediateSkill Level
4.8+
14 reviews
4 hr
Use C++ to dramatically boost the performance of your R code.

Course

Business Process Analytics in R

IntermediateSkill Level
4.8+
45 reviews
4 hr
Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

Course

Parallel Programming in R

IntermediateSkill Level
4.7+
78 reviews
4 hr
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Course

Practicing Statistics Interview Questions in R

AdvancedSkill Level
4.7+
23 reviews
4 hr
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Course

Equity Valuation in R

IntermediateSkill Level
4.8+
65 reviews
4 hr
Learn the fundamentals of valuing stocks.

Course

Intermediate Regular Expressions in R

IntermediateSkill Level
4.8+
38 reviews
4 hr
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

Course

Forecasting Product Demand in R

IntermediateSkill Level
4.7+
30 reviews
4 hr
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.

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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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