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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.

Cursus

Introductie tot R

BasisVaardigheidsniveau
4.8+
32K
4 uur

Leerpad

Basisprincipes van R-programmeren

12.1K
22 uur
Maak je R-programmeervaardigheden nog beter! Leer hoe je met veelgebruikte datastructuren werkt, code optimaliseert en je eigen functies schrijft.

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Bekijk R cursussen en leerpaden

Cursus

Dimensionality Reduction in R

BasisVaardigheidsniveau
4.8+
133
4 uur
Leer technieken voor dimensiereductie in R en word een expert in het selecteren en extraheren van kenmerken voor je eigen data en modellen.

Cursus

Support Vector Machines in R

GemiddeldVaardigheidsniveau
4.8+
132
4 uur
Deze cursus laat je op een makkelijke, visuele manier kennismaken met de support vector machine (SVM).

Cursus

Feature engineering in R

GemiddeldVaardigheidsniveau
4.7+
130
4 uur
Leer de basisprincipes van feature engineering voor machine learning-modellen en hoe je die kunt toepassen met het R tidymodels-framework.

Cursus

Business Process Analytics in R

GemiddeldVaardigheidsniveau
4.8+
120
4 uur
Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

Cursus

Bond Valuation and Analysis in R

GemiddeldVaardigheidsniveau
4.9+
115
4 uur
Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest rate changes.

Cursus

Life Insurance Products Valuation in R

BasisVaardigheidsniveau
4.8+
112
4 uur
Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

Cursus

ChIP-seq with Bioconductor in R

GemiddeldVaardigheidsniveau
4.7+
111
4 uur
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Cursus

Dashboards bouwen met flexdashboard

GemiddeldVaardigheidsniveau
4.7+
109
4 uur
In deze cursus leer je hoe je statische en interactieve dashboards kunt maken met flexdashboard en shiny.

Cursus

Financieel traden in R

GemiddeldVaardigheidsniveau
4.8+
105
5 uur
Deze cursus gaat over de basis van financieel handelen en hoe je quantstrat kunt gebruiken om handelsstrategieën op basis van signalen te maken.

Cursus

Aandelenwaardering in R

GemiddeldVaardigheidsniveau
4.8+
98
4 uur
Leer de basisprincipes van het waarderen van aandelen.

Cursus

Gevorderde portefeuilleanalyse in R

GemiddeldVaardigheidsniveau
4.8+
95
5 uur
Verbeter je financiële vaardigheden om financiële portefeuilles te backtesten, analyseren en optimaliseren.

Cursus

Gevorderde reguliere expressies in R

GemiddeldVaardigheidsniveau
4.8+
84
4 uur
Speel met tekstgegevens, analyseer ze en doe nog veel meer door regelmatige uitdrukkingen en stringafstanden in R onder de knie te krijgen.

Cursus

Bayesiaans modelleren met RJAGS

GevorderdVaardigheidsniveau
4.8+
82
4 uur
In deze cursus leer je hoe je met RJAGS meer geavanceerde Bayesiaanse modellen kunt maken.

Cursus

Casestudies: netwerkanalyse in R

BasisVaardigheidsniveau
4.7+
77
4 uur
Pas de basisprincipes van netwerkanalyse toe op grote datasets uit de praktijk in 4 verschillende casestudys.

Cursus

Responsmodellen bouwen in R

GemiddeldVaardigheidsniveau
4.8+
73
4 uur
Leer simpele modellen maken van hoe de markt reageert om je marketingplannen nog beter te maken.

Cursus

Analyzing US Census Data in R

GemiddeldVaardigheidsniveau
4.8+
72
4 uur
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Cursus

Parallel programmeren in R

GemiddeldVaardigheidsniveau
4.7+
65
4 uur
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Cursus

Introductie tot anomaliedetectie in R

GemiddeldVaardigheidsniveau
4.8+
61
4 uur
Leer statistische tests om uitschieters te vinden en hoe je slimme algoritmes voor het scoren van afwijkingen kunt gebruiken.

Cursus

Vraag naar producten voorspellen in R

GemiddeldVaardigheidsniveau
4.6+
61
4 uur
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.

Cursus

Programmeren met dplyr

GemiddeldVaardigheidsniveau
4.7+
60
4 uur
Leer hoe je geavanceerde dplyr-transformaties kunt uitvoeren en dplyr- en ggplot2-code in functies kunt gebruiken.

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The Top 8 R Project Ideas for 2026

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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.
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Getting Started with R Cheat Sheet

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9 min

Ready to apply your skills?

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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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