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R Courses

Learn how to program in R and use the language for a variety of roles in the data industry. R programming is an in-demand skill for data analysts and scientists, making it an excellent career investment. 

Choose from a wide variety of courses at DataCamp — from our comprehensive introductions through to courses with a focus on machine learning applications and logistic regression. 

  • Learn at your pace
  • Practice coding straight away
  • Choose from 150 R courses
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LOVED BY LEARNERS AT THOUSANDS OF COMPANIES

R Courses for Beginners

If you're new to data science or just getting started with R, DataCamp's introductory courses will give you the grounding you need to understand the basics and feel confident in expanding your skills. You'll learn about the potential applications of R, and then move on to importing, tidying, transforming, and visualizing data in no time. 

DataCamp's vast library of R courses for beginners ensures you build a strong foundation to become an R programmer - from Introduction to Statistics in R to Introduction to the Tidyverse. Best of all, you can start learning for free with our Introduction to R course.

R

Introduction to R

Gain the coding skills you need to master data analysis by manipulate common data structures like vectors, matrices, and data frames in R.

Clock4 hours

Jonathan Cornelissen

Co-founder of DataCamp

R

Introduction to the Tidyverse

Take your R data science skills to the next level with the tidyverse, a package of R packages that help you do more with data.

Clock4 hours
David Robinson Headshot

David Robinson

Principal Data Scientist at Heap

R

Introduction to Statistics in R

Leverage the power of statistics in R and learn how to apply these techniques to data.

Clock4 hours
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Maggie Matsui

Curriculum Manager at DataCamp

R

Cleaning Data in R

Learn how to get from raw data to valuable insights quickly with this course on cleaning data. 

Clock4 hours
Maggie Matsui Headshot

Maggie Matsui

Curriculum Manager at DataCamp

R

Introduction to Regression in R

Get familiar with some of the most commonly used statistical models as you learn how to implement, analyze, and interpret regression analysis in R.

Clock4 hours
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Richie Cotton

Curriculum Architect at DataCamp

R

Introduction to Writing Functions in R

Enhance your R skills using real-world data to learn how to write efficient and reusable functions.

Clock4 hours
Richie Cotton Headshot

Richie Cotton

Curriculum Architect at DataCamp

R

Time Series Analysis in R

Time series data can be tricky, learn the key techniques you need to pull insights from this data.

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David S. Matteson

Associate Professor at Cornell University

R

Cluster Analysis in R

Tap into the power of cluster analysis in this course designed to develop and strengthen your intuition when using hierarchical and k-means clustering.

Clock4 hours
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Dmitriy Gorenshteyn

Data Scientist @ Memorial Sloan Kettering Cancer Center

R

Introduction to Data Visualization with ggplot2

Dig into data visualization using ggplot2. In this course, you'll learn about plot essentials and how to create complex exploratory plots of your own.

Clock4 hours
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Rick Scavetta

Rick Scavetta is a co-founder of Scavetta Academy.

R

Supervised Learning in R: Classification

Learn the essentials of machine learning for classification. 

Clock4 hours
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Brett Lantz

Data Scientist at the University of Michi

R Courses for Data Scientists

R is an essential language for statistical analysis and data visualization. Many data science teams use both Python and R together, so having R in your data wrangling arsenal will make you a particularly attractive candidate when applying for new roles in the data industry. 

R

Intermediate R

Move beyond the basics with R in this intermediate course that covers conditional statements, loops, and vector functions.

Clock6 hours
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Filip Schouwenaars

Data Science Instructor at DataCamp

R

Cleaning Data in R

Learn how to get from raw data to valuable insights quickly with this course on cleaning data. 

Clock4 hours
Maggie Matsui Headshot

Maggie Matsui

Curriculum Manager at DataCamp

R

Introduction to Text Analysis in R

Tap into the importance of text with this introductory course to analyzing text data in R using the tidy framework. 

Clock4 hours
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Marc Dotson

Assistant Professor of Marketing, BYU Marriott School of Business

R

Correlation and Regression in R

Explore the relationship between two numerical quantities and learn how to best characterize those relationships graphically.

Clock4 hours
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Ben Baumer

Assistant Professor at Smith College

R

Cluster Analysis in R

Tap into the power of cluster analysis in this course designed to develop and strengthen your intuition when using hierarchical and k-means clustering.

Clock4 hours
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Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

R

Multiple and Logistic Regression in R

Discover logistic regression for classification and learn how to add numerous variables to linear models.

Clock4 hours
Ben Baumer Headshot

Ben Baumer

Assistant Professor at Smith College

R

Time Series Analysis in R

Time series data can be tricky, learn the key techniques you need to pull insights from this data.

Clock4 hours
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David S. Matteson

Associate Professor at Cornell University

R

Manipulating Time Series Data with xts and zoo in R

Learn how to manage and manipulate ordered observations quickly and without errors using R's xts and zoo packages.

Clock4 hours
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DataCamp Content Creator

Course Instructor

R

Intermediate Regression in R

Improve on your existing regression in R skills by learning about linear and logistic regression.

Clock4 hours
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Richie Cotton

Curriculum Architect at DataCamp

R

Intermediate Data Visualization with ggplot2

Create meaningful explanatory plots with ggplot2 and explore importance of data visualization with this intermediate course.

Clock4 hours
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Rick Scavetta

Rick Scavetta is a co-founder of Scavetta Academy.

R Courses for Data Analysts

Analyzing statistical data is where R really shines, which is why it's the preferred language for aspiring data analysts. DataCamp has an extensive range of R courses specially designed to equip you with the skills you'll need to launch a dynamic career in data analysis — from cleaning and manipulating data, to exploratory analysis and visualization.

R

Introduction to Data Visualization with ggplot2

Dig into data visualization using ggplot2. In this course, you'll learn about plot essentials and how to create complex exploratory plots of your own.

Clock4 hours
Rick Scavetta Headshot

Rick Scavetta

Rick Scavetta is a co-founder of Scavetta Academy.

R

Introduction to the Tidyverse

Take your R data science skills to the next level with the tidyverse, a package of R packages that help you do more with data.

Clock4 hours
David Robinson Headshot

David Robinson

Principal Data Scientist at Heap

R

Sampling in R

Master the fundamentals of sampling in R and get more insights from less data.

Clock4 hours
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Richie Cotton

Curriculum Architect at DataCamp

R

Joining Data with dplyr

Dive into complex questions and sophisticated analyses by learning how to combine data from multiple datasets using dplyr.

Clock4 hours
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DataCamp Content Creator

Course Instructor

R

Cleaning Data in R

Learn how to get from raw data to valuable insights quickly with this course on cleaning data. 

Clock4 hours
Maggie Matsui Headshot

Maggie Matsui

Curriculum Manager at DataCamp

R

Categorical Data in the Tidyverse

Get familiar with non-numerical data in this categorizing-focused course where you'll explore the tidyverse landscape.

Clock4 hours
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Emily Robinson

Data Scientist at DataCamp

R

Data Manipulation with data.table in R

Get into the fundamentals of data manipulation using data.table, including filtering and how to select and calculate groupwise statistics. 

Clock4 hours
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Matt Dowle

Author of data.table

R

Exploratory Data Analysis in R

Get started with the graphical and numerical techniques you need to reveal data structures.

Clock4 hours
Andrew Bray Headshot

Andrew Bray

Assistant Professor of Statistics at Reed College

R

Reporting with R Markdown

Learn how R Markdown, a user-friendly formatting language, can help you create impactful reports.

Clock4 hours
Amy Peterson Headshot

Amy Peterson

Head of Core Curriculum at DataCamp

R

Data Visualization in R

Jump into data visualization with this comprehensive introductory course that focuses on using base graphics in R.

Clock4 hours
Ronald Pearson Headshot

Ronald Pearson

PhD in Electrical Engineering and Computer Science from M.I.T.

R Courses for Data Engineers

R will help you to handle, store, and analyze your data within a data engineering role. DataCamp's range of R courses will help you to apply R to manipulation, writing efficient code, and reshaping data. 

R

Web Scraping in R

Learn how to use R to gather and extract data from websites.

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Timo Grossenbacher

Project Lead Automated Journalism at Tamedia

R

Exploratory Data Analysis in R

Get started with the graphical and numerical techniques you need to reveal data structures.

Clock4 hours
Andrew Bray Headshot

Andrew Bray

Assistant Professor of Statistics at Reed College

R

Data Manipulation with dplyr

Dive into data manipulation with dplyr, where you'll learn how to transform and manipulate data.

Clock4 hours
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DataCamp Content Creator

Course Instructor

R

Cleaning Data in R

Learn how to get from raw data to valuable insights quickly with this course on cleaning data. 

Clock4 hours
Maggie Matsui Headshot

Maggie Matsui

Curriculum Manager at DataCamp

R

Intermediate Importing Data in R

Learn how to parse the data you need. This course explores flat files, statistical software, databases, and web-based data.

Clock4 hours
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Filip Schouwenaars

Data Science Instructor at DataCamp

R

Writing Efficient R Code

Discover how to develop quicker R code, benchmarking and profiling, and parallel programming secrets.

Clock4 hours
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Colin Gillespie

Assoc Prof at Newcastle University, Consultant at Jumping Rivers

R

Joining Data with data.table in R

Learn data.table, a handy tool for combining and merging datasets.

Clock4 hours
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Scott Ritchie

Postdoctoral Researcher in Systems Genomics

R

Sampling in R

Dive into complex questions and sophisticated analyses by learning how to combine data from multiple datasets using dplyr.

Clock4 hours
null Headshot

R

Categorical Data in the Tidyverse

Ready, Set, Categorize! ! Using the Tidyverse landscape, in this course you will work with non-numerical data such as job titles and survey responses.

Clock4 hours
Emily Robinson Headshot

Emily Robinson

Data Scientist at DataCamp

R

Working with Dates and Times in R

Get into the fundamentals of data manipulation using data.table, including filtering and how to select and calculate groupwise statistics. 

Clock4 hours
Charlotte Wickham Headshot

Charlotte Wickham

Assistant Professor at Oregon State University

The Best Courses for Learning R

Woman working on data analysis

Discover the best courses for learning R, whether you're a complete beginner or a seasoned professional. DataCamp's courses are already used by over 2,000 companies, including Google, Ebay, PayPal, and Uber, to upskill their teams and maintain a consistent in-house standard. 

Every R course presents fast, flexible ways to learn new techniques and concepts. Our learning environment lets you practice with code and apply your new-found skills to challenges and datasets to ensure you complete the course as a confident R user. 

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R Courses FAQs

What is the best online R course?

Introduction to R with DataCamp. This free introductory course will help you master R’s challenging syntax while moving at your own pace. You can pause and repeat as much as you need to fully absorb the concepts.

Are Datacamp R courses free?

Introduction to R is completely free and you can access the first chapter of most other courses for free as well. However, if you are serious about mastering R, you should consider signing up for a subscription, which will give you full access to over 300 courses, assessments, cheat sheets, projects, and other helpful resources. 

How long does it take to finish an R Course?

It takes around 4 hours to finish the materials for most courses in R. However, it will likely take you at least two weeks of practicing what you learn in the courses to feel confident in your knowledge and to be able to competently execute the skills you've learned. 

Which R course should I start with?

DataCamp’s Introduction to R. This free course will help you master the basics of R and equip you with the tools to undertake your own data analysis.  What’s more, if you decide you’d like to become proficient in R, DataCamp has a plethora of advanced R courses to support you.  

Which R courses are best for machine learning?

DataCamp's R Courses. DataCamp offers a wide range of R courses, covering every topic you need to become a professional machine learning practitioner: from the beginning foundational R courses to the advanced courses specifically designed for aspiring machine learning engineers. You can explore Machine Learning with Tree-Based Models in R or delve into the big ideas with Machine Learning with caret in R. 

Which R courses are best for finance?

Introduction to R for Finance and Intermediate R for Finance, as they will give you an excellent foundation to build upon. From there, you can take more advanced finance courses, such as Credit Risk Modeling in R or Time Series Analysis in R.  

Which R courses are best for digital marketing?

Introduction to Text Analysis in R, which teaches digital marketers to wrangle and visualize text data from social media and product reviews; Analyzing Social Media in R, where you’ll master extracting and visualizing Twitter data; and Machine Learning for Marketing Analytics in R, where you’ll learn how to use R to perform various common marketing tasks.

What courses should I take in addition to R courses?

SQL courses are the most important courses to take to complement your R skills. You won’t be able to land a job in R Programming without also having some SQL skills under your belt.