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R courses

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.

Kurs

Introduction to R

GrundläggandeKunskapsnivå
4.8+
2 368 recensioner
4 tim
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Lärstig

Grunderna i R-programmering

4.4+
14 recensioner
22 tim
Ta dina R-programmeringskunskaper till nästa nivå! Lär dig att arbeta med vanliga datastrukturer, optimera kod och skriva egna funktioner.

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Utforska kurser och inlärningsvägar inom R

Kurs

Dimensionality Reduction in R

GrundläggandeKunskapsnivå
4.7+
96 recensioner
4 tim
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Kurs

Support Vector Machines in R

MedelnivåKunskapsnivå
4.8+
82 recensioner
4 tim
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

Kurs

Feature Engineering in R

MedelnivåKunskapsnivå
4.7+
141 recensioner
4 tim
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

Kurs

Analyzing Social Media Data in R

MedelnivåKunskapsnivå
4.8+
86 recensioner
4 tim
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Kurs

R For SAS Users

GrundläggandeKunskapsnivå
4.7+
27 recensioner
4 tim
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

Kurs

Practicing Statistics Interview Questions in R

AvanceradKunskapsnivå
4.7+
20 recensioner
4 tim
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Kurs

ChIP-seq with Bioconductor in R

MedelnivåKunskapsnivå
4.7+
48 recensioner
4 tim
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Kurs

Building Dashboards with flexdashboard

MedelnivåKunskapsnivå
4.7+
49 recensioner
4 tim
In this course youll learn how to create static and interactive dashboards using flexdashboard and shiny.

Kurs

Business Process Analytics in R

MedelnivåKunskapsnivå
4.8+
42 recensioner
4 tim
Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

Kurs

Financial Trading in R

MedelnivåKunskapsnivå
4.8+
72 recensioner
5 tim
This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

Kurs

Programming with dplyr

MedelnivåKunskapsnivå
4.7+
47 recensioner
4 tim
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

Kurs

Life Insurance Products Valuation in R

GrundläggandeKunskapsnivå
4.8+
47 recensioner
4 tim
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Kurs

Building Response Models in R

MedelnivåKunskapsnivå
4.8+
29 recensioner
4 tim
Learn to build simple models of market response to increase the effectiveness of your marketing plans.

Kurs

Intermediate Regular Expressions in R

MedelnivåKunskapsnivå
4.8+
33 recensioner
4 tim
Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

Kurs

Defensive R Programming

MedelnivåKunskapsnivå
4.9+
71 recensioner
4 tim
Learn defensive programming in R to make your code more robust.

Kurs

Equity Valuation in R

MedelnivåKunskapsnivå
4.8+
63 recensioner
4 tim
Learn the fundamentals of valuing stocks.

Kurs

Bayesian Modeling with RJAGS

AvanceradKunskapsnivå
4.8+
47 recensioner
4 tim
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

Kurs

Parallel Programming in R

MedelnivåKunskapsnivå
4.7+
72 recensioner
4 tim
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Kurs

Optimizing R Code with Rcpp

MedelnivåKunskapsnivå
4.9+
12 recensioner
4 tim
Use C++ to dramatically boost the performance of your R code.

Kurs

Forecasting Product Demand in R

MedelnivåKunskapsnivå
4.6+
29 recensioner
4 tim
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.

Kurs

Analyzing US Census Data in R

MedelnivåKunskapsnivå
4.8+
37 recensioner
4 tim
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Kurs

Introduction to Anomaly Detection in R

MedelnivåKunskapsnivå
4.8+
25 recensioner
4 tim
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

Relaterade resurser om R

R Project

blogg

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

blogg

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

snabbguide

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

Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets
to solve real-world problems in your browser

    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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