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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.

Corso

Introduzione a R

BasicLivello di competenza
4.8+
2378 revisioni
4 h
Impara le basi dellanalisi dei dati in R, compresi vettori, liste e data frame, e fai pratica con R con set di dati reali.

Programma

Fondamenti di programmazione R

4.4+
14 revisioni
22 h
Migliora le tue abilità di programmazione in R! Impara a lavorare con le strutture dati più comuni, a ottimizzare il codice e a scrivere le tue funzioni.

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Corso

Progettazione Sperimentale in R

IntermedioLivello di competenza
4.7+
332 revisioni
4 h
In questo corso imparerai le basi della progettazione sperimentale, una parte fondamentale di qualsiasi analisi dei dati.

Corso

Unsupervised Learning in R

IntermedioLivello di competenza
4.7+
101 revisioni
4 h
Questo corso ti dà unidea di base sul clustering e sulla riduzione della dimensionalità in R dal punto di vista dellapprendimento automatico.

Corso

Generalized Linear Models in R

IntermedioLivello di competenza
4.8+
191 revisioni
4 h
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Corso

Fondamenti di probabilità in R

BasicLivello di competenza
4.8+
445 revisioni
4 h
In questo corso imparerai i concetti di variabili casuali, distribuzioni e condizionamento.

Corso

Intermediate Importing Data in R

IntermedioLivello di competenza
4.8+
271 revisioni
3 h
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Corso

Building Web Applications with Shiny in R

IntermedioLivello di competenza
4.7+
215 revisioni
4 h
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

Corso

Supervised Learning in R: Regression

IntermedioLivello di competenza
4.6+
99 revisioni
4 h
In questo corso imparerai come prevedere cosa succederà usando la regressione lineare, i modelli additivi generalizzati, le foreste casuali e xgboost.

Corso

Cluster Analysis in R

IntermedioLivello di competenza
4.8+
69 revisioni
4 h
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Corso

Machine Learning con caret in R

IntermedioLivello di competenza
4.8+
42 revisioni
4 h
Questo corso spiega le idee principali del machine learning, tipo come creare e valutare modelli predittivi.

Corso

Dealing With Missing Data in R

BasicLivello di competenza
4.7+
135 revisioni
4 h
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

Corso

Visualizzare le serie temporali in R

IntermedioLivello di competenza
4.8+
175 revisioni
4 h
Impara a visualizzare le serie temporali in R, poi fai pratica con un caso di studio sulla selezione dei titoli azionari.

Corso

RNA-Seq with Bioconductor in R

IntermedioLivello di competenza
4.7+
138 revisioni
4 h
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Corso

Analisi fattoriale in R

AvanzatoLivello di competenza
4.7+
150 revisioni
4 h
Esplora le variabili nascoste, come la personalità, usando analisi fattoriali esplorative e confermative.

Corso

Fundamentals of Bayesian Data Analysis in R

IntermedioLivello di competenza
4.8+
208 revisioni
4 h
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

Corso

Analyzing Survey Data in R

IntermedioLivello di competenza
4.8+
212 revisioni
4 h
Learn survey design using common design structures followed by visualizing and analyzing survey results.

Corso

Buone pratiche di visualizzazione in R

BasicLivello di competenza
4.8+
303 revisioni
1 h
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Corso

Lavorare con date e orari in R

IntermedioLivello di competenza
4.8+
92 revisioni
4 h
Impara le basi dellanalisi, della manipolazione e del calcolo di date e orari in R.

Corso

Web scraping in R

IntermedioLivello di competenza
4.7+
92 revisioni
4 h
Scopri come raccogliere e scaricare dati da qualsiasi sito web in modo efficiente usando R.

Corso

String Manipulation with stringr in R

IntermedioLivello di competenza
4.7+
49 revisioni
4 h
Learn how to pull character strings apart, put them back together and use the stringr package.

Corso

R intermedio per la finanza

BasicLivello di competenza
4.8+
39 revisioni
5 h
Scopri come funzionano le date in R ed esplora il mondo delle istruzioni if, dei cicli e delle funzioni usando esempi finanziari.

Corso

A/B Testing in R

IntermedioLivello di competenza
4.8+
90 revisioni
4 h
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Corso

Survival Analysis in R

IntermedioLivello di competenza
4.7+
188 revisioni
4 h
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Corso

Comunicare con i dati nel Tidyverse

BasicLivello di competenza
4.8+
193 revisioni
4 h
Sfrutta la potenza degli strumenti tidyverse per creare grafici di qualità professionale e report personalizzati che comunichino i tuoi risultati.

Risorse correlate su R

R Project

blog

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

blog

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

guida rapida

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

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Projects allow you to apply your knowledge to a wide range of datasets
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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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