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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.

Kursus

Pengantar R

DasarTingkat Keterampilan
4.8+
32.6K
4 jam

Program

Dasar-Dasar Pemrograman R

12.1K
22 jam
Tingkatkan keterampilan pemrograman R Anda! Pelajari cara bekerja dengan struktur data umum, mengoptimalkan kode, dan menulis fungsi Anda sendiri.

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Cari Kursus dan Track R

Kursus

A/B Testing in R

MenengahTingkat Keterampilan
4.8+
290
4 jam
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Kursus

Analyzing Survey Data in R

MenengahTingkat Keterampilan
4.8+
284
4 jam
Learn survey design using common design structures followed by visualizing and analyzing survey results.

Kursus

Analisis Faktor di R

LanjutanTingkat Keterampilan
4.7+
284
4 jam
Jelajahi variabel laten, seperti kepribadian, menggunakan analisis faktor eksploratori dan konfiratori.

Kursus

Analisis Survival di R

MenengahTingkat Keterampilan
4.7+
245
4 jam
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!

Kursus

Network Analysis in R

MenengahTingkat Keterampilan
4.7+
212
4 jam
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Kursus

Analisis Sentimen di R

MenengahTingkat Keterampilan
4.7+
210
4 jam
Pelajari analisis sentimen dengan mengidentifikasi bahasa positif dan negatif, niat emosional spesifik, dan membuat visualisasi yang menarik.

Kursus

Penyetelan Hyperparameter di R

LanjutanTingkat Keterampilan
4.7+
204
4 jam
Pelajari cara menyesuaikan hiperparameter model Anda untuk mendapatkan hasil prediksi terbaik.

Kursus

Building Dashboards with shinydashboard

DasarTingkat Keterampilan
4.6+
203
4 jam
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Kursus

Memvisualisasikan Data Geospasial di R

MenengahTingkat Keterampilan
4.5+
203
4 jam
Pelajari cara membaca, mengeksplorasi, dan memanipulasi data spasial, lalu gunakan keterampilan Anda untuk membuat peta informatif menggunakan R.

Kursus

Quantitative Risk Management in R

DasarTingkat Keterampilan
4.8+
188
5 jam
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

Kursus

Machine Learning di Tidyverse

MenengahTingkat Keterampilan
4.8+
186
5 jam
Manfaatkan paket tidyr dan purrr dalam tidyverse untuk menghasilkan, mengeksplorasi, dan mengevaluasi model pembelajaran mesin.

Kursus

Analisis Keranjang Belanja di R

MenengahTingkat Keterampilan
4.8+
167
4 jam
Jelajahi aturan asosiasi dalam analisis keranjang belanja menggunakan R dengan menganalisis data ritel dan membuat rekomendasi film.

Kursus

Developing R Packages

MenengahTingkat Keterampilan
4.7+
164
4 jam
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

Kursus

Pemodelan Risiko Kredit di R

MenengahTingkat Keterampilan
4.8+
162
4 jam
Terapkan pemodelan statistik dalam konteks nyata menggunakan regresi logistik dan pohon keputusan untuk memodelkan risiko kredit.

Kursus

Model GARCH di R

LanjutanTingkat Keterampilan
4.8+
161
4 jam
Tentukan dan terapkan model GARCH untuk meramalkan volatilitas yang berubah-ubah seiring waktu dan nilai risiko (value-at-risk).

Kursus

Menangani Data Hilang dengan Imputasi di R

LanjutanTingkat Keterampilan
4.7+
158
4 jam
Diagnosis, visualisasikan, dan atasi data yang hilang dengan berbagai teknik imputasi, disertai tips untuk meningkatkan hasil Anda.

Kursus

R untuk Pengguna SAS

DasarTingkat Keterampilan
4.7+
139
4 jam
Pelajari cara mengonversi pengetahuan SAS Anda ke dalam R dan menganalisis data menggunakan bahasa pemrograman gratis dan powerful ini.

Kursus

Menganalisis Data Media Sosial dengan R

MenengahTingkat Keterampilan
4.8+
136
4 jam
Ekstrak dan visualisasikan data Twitter, lakukan analisis sentimen dan jaringan, serta peta lokasi geografis tweet Anda.

Kursus

Pengantar Natural Language Processing di R

MenengahTingkat Keterampilan
4.8+
135
4 jam
Dapatkan gambaran menyeluruh tentang semua keterampilan dan alat yang diperlukan untuk menguasai Pemrosesan Bahasa Alami (Natural Language Processing) dalam R.

Sumber daya terkait dengan R

R Project

blogs

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 mnt

blogs

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 mnt

cheat sheets

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 mnt

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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