Time to completeApprox. 20 hours
Certificate of completionIncluded with paid plans
About this course
The R programming language is a widely used statistical language that works well with data. If you’re interested in data science, analysis, and visualization, you’ll want to learn how to use R.
Syllabus16 lessons • 10 projects • 10 quizzes
Hands-on learningDon’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this course
Blood Transfusion AnalysisIn this project we will be using statistical techniques to make statements and draw conclusions about a blood tranfusion company's userbase.
Calculating Population Change Over Time with RIn this project, you will learn how to use the basics of R syntax and operations to make calculations.
Explore the 1985 Cars DatasetUse your knowledge of DataFrames, reader, and dplyr to explore this dataset about cars from 1985.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
Unlock additional features with a paid plan
Practice ProjectsGuided projects that help you solidify the skills and concepts you're learning.
AssessmentsAuto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
Certificate of CompletionEarn a document to prove you've completed a course or path that you can share with your network.
Frequently asked questions about R
R is an open-source programming language designed for data science and statistics. It’s a powerful tool for working with data, and its documentation and supportive community offer helpful resources for new programmers.