If you're new to learning R, start with our most popular track for beginners.Start Learning
A collection of curated courses that will help guide your learning. Career tracks cover all the skills you need to kickstart and advance your career in a particular role.
Whether you’re an analyst, developer, or data scientist, get on the right path with our R career tracks. Created by industry experts to grow your skills and help you take your next big step.
From data manipulation to machine learning, you'll gain the career-building R skills you need to succeed in the exciting field of data science!
Ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.
A machine learning scientist researches new approaches and builds machine learning models.
A collection of curated courses that will help guide your learning. Skill tracks are shorter than career tracks and help you master complementary skills.
Expand what you can do in R and watch your skills take off. Our expert-curated tracks help you reach new heights and guide you through everything from running statistical tests to launching interactive visualizations.
Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.
Grow the R skills you need to work with social media data, perform market basket analysis, and use machine learning to guide your marketing decisions.
A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.
Using R, you can perform exploratory data analysis, big data visualization, and train machine learning models. This wide range of applications makes it a popular choice in both industry and research. Below are more examples of what you can achieve, with links to interactive courses for each of these topics.
Short expert videos with interactive exercises. Learn specific skills with these 3-4 hour trainings.
Gain skills fast! Follow short videos led by expert instructors and then practice what you’ve learned with hands-on coding exercises right from your browser.
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.
In this course you'll learn how to create static and interactive dashboards using flexdashboard and shiny.
Learn to transform and manipulate your data using dplyr.
Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
Meet the experts behind the training. By joining DataCamp, you'll unlock access to insights from the leading minds in technology, data science, business, and academia.
Assistant Professor at Oregon State University. See full bio.
Data Science Instructor at DataCamp. See full bio.
Principal Data Scientist at Heap. See full bio.
Go deeper and solve real-world challenges using R to help grow your personal portfolio.
If you've never done a DataCamp project, this is the place to start!
Build a model that can automatically detect honey bees and bumble bees in images.
Use tree-based machine learning methods to identify the characteristics of legendary Pokémon.
What's the scoop? Brush up on the latest R news, online tutorials, and trending posts.
Comprehensive and easy R Data Import tutorial covering everything from importing simple text files to more advanced SPSS and SAS files.
A tutorial on loops in R that looks at the constructs available in R for looping. Discover alternatives using R's vectorization feature.
Understand how to read and import spreadsheet files using basic R and packages.
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