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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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Gör en kompetensbedömning

Utforska kurser och inlärningsvägar inom R

Kurs

Mixture Models in R

MedelnivåKunskapsnivå
4.7+
22 recensioner
4 tim
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

Kurs

Scalable Data Processing in R

AvanceradKunskapsnivå
4.6+
22 recensioner
4 tim
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

Kurs

Probability Puzzles in R

GrundläggandeKunskapsnivå
4.8+
66 recensioner
4 tim
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Kurs

Case Studies: Network Analysis in R

GrundläggandeKunskapsnivå
4.7+
43 recensioner
4 tim
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

Lärstig

Analysera genomisk data i R

4.5+
4 recensioner
16 tim
Börja utforska världen av beräkningsbiologi med viktiga Bioconductor-paket och arbetsflöden för analys av nästa generations sekvenseringsdata.

Lärstig

Datavisualisering i R

5
3 recensioner
12 tim
Ge dina data tydlighet med datavisualiseringar i R med ggplot2. Lär dig de grafiska och diagrambyggande färdigheterna för att berätta bättre databerättelser.

Lärstig

Datamanipulering i R

4.8+
7 recensioner
16 tim
Gör datahantering smidigare med dplyr och tidyr. Lär dig hur du transformerar, sorterar och filtrerar dina data, redo för snabb analys.

Lärstig

Statistisk inferens i R

5
2 recensioner
16 tim
En kärnuppsättning färdigheter inom statistisk inferens som behövs för att förstå, tolka och finjustera dina statistiska och maskininlärningsmodeller.

Lärstig

Importera och rensa data i R

5
1 recension
14 tim
Få de praktiska färdigheter du behöver för att importera och rensa dina data när du arbetar i R – så att du kan upptäcka de insikter som spelar roll.

Lärstig

Shiny-grunderna i R

4.5+
2 recensioner
16 tim
Lär dig använda Shiny, ett populärt R-paket, för att bygga mycket interaktiva webbapplikationer och dela dina analyser som dashboards och visualiseringar.

Lärstig

Text mining i R

5
4 recensioner
16 tim
Upptäck text mining i R och lär dig att extrahera spännande insikter från tweets, produktrecensioner och böcker genom sentimentanalys i R.

Lärstig

Big Data i R

5
1 recension
16 tim
Arbeta med big data i R via parallellprogrammering, gränssnitt mot Spark, skriv skalbar och effektiv R-kod och lär dig sätt att visualisera big data.

Lärstig

Interaktiv datavisualisering i R

16 tim
Bygg vackra interaktiva kartor, utforska dina data genom att zooma in och hovra över diagram, och skapa engagerande, dynamiska diagram i R.

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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