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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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DataCamp for Business को आज़माएँ

Recomended For Starters

Become an R programmer and develop your R skills with interactive courses, tracks and projects, curated by real-world experts.

course

Introduction to R

बुनियादीकौशल स्तर
4 hours
40.7K
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Track

R Programming Fundamentals

22 hours
14.9K
Level-up your R programming skills! Learn how to work with common data structures, optimize code, and write your own functions.

निश्चित नहीं हूं कि कहां से शुरुआत की जाए?

मूल्यांकन करें

R पाठ्यक्रमों और ट्रैक को ब्राउज़ करें

course

Data Manipulation with data.table in R

बुनियादीकौशल स्तर
4 hours
570
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

course

Modeling with Data in the Tidyverse

मध्यवर्तीकौशल स्तर
4 hours
539
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

course

String Manipulation with stringr in R

मध्यवर्तीकौशल स्तर
4 hours
510
Learn how to pull character strings apart, put them back together and use the stringr package.

course

Intermediate Importing Data in R

मध्यवर्तीकौशल स्तर
3 hours
508
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

course

Visualization Best Practices in R

बुनियादीकौशल स्तर
4 hours
500
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

course

Unsupervised Learning in R

मध्यवर्तीकौशल स्तर
4 hours
476
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

course

RNA-Seq with Bioconductor in R

मध्यवर्तीकौशल स्तर
4 hours
472
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

course

Fundamentals of Bayesian Data Analysis in R

मध्यवर्तीकौशल स्तर
4 hours
445
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

course

Working with Dates and Times in R

मध्यवर्तीकौशल स्तर
4 hours
423
Learn the essentials of parsing, manipulating and computing with dates and times in R.

course

Machine Learning with Tree-Based Models in R

बुनियादीकौशल स्तर
4 hours
418
Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

course

Web Scraping in R

मध्यवर्तीकौशल स्तर
4 hours
408
Learn how to efficiently collect and download data from any website using R.

course

Categorical Data in the Tidyverse

बुनियादीकौशल स्तर
4 hours
395
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

course

Cluster Analysis in R

मध्यवर्तीकौशल स्तर
4 hours
392
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

course

Intermediate R for Finance

बुनियादीकौशल स्तर
5 hours
386
Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

course

Machine Learning with caret in R

मध्यवर्तीकौशल स्तर
4 hours
372
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

course

ARIMA Models in R

बुनियादीकौशल स्तर
4 hours
337
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

course

Case Study: Exploratory Data Analysis in R

बुनियादीकौशल स्तर
4 hours
330
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

course

Foundations of Inference in R

मध्यवर्तीकौशल स्तर
4 hours
329
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

course

Joining Data with data.table in R

मध्यवर्तीकौशल स्तर
4 hours
311
This course will show you how to combine and merge datasets with data.table.

course

Experimental Design in R

मध्यवर्तीकौशल स्तर
4 hours
301
In this course youll learn about basic experimental design, a crucial part of any data analysis.

course

Generalized Linear Models in R

मध्यवर्तीकौशल स्तर
4 hours
291
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

course

Analyzing Survey Data in R

मध्यवर्तीकौशल स्तर
4 hours
264
Learn survey design using common design structures followed by visualizing and analyzing survey results.

course

Dealing With Missing Data in R

बुनियादीकौशल स्तर
4 hours
259
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

course

Quantitative Risk Management in R

बुनियादीकौशल स्तर
5 hours
247
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

course

Survival Analysis in R

मध्यवर्तीकौशल स्तर
4 hours
235
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!

R पर संबंधित संसाधन

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 मि॰

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 मि॰

cheat sheet

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 मि॰

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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