Learn R | Codecademy (2024)

Free

Course

Learn how to code and clean and manipulate data for analysis and visualization with the R programming language.

4.5

This course includes

Learn R | Codecademy (1)

Learn R | Codecademy (2)

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259,421 learners enrolled

This course includes

  • Skill level

    Beginner

  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary

    14 hours

  • Projects

    10

  • Prerequisites

    None

About this course

R is a widely used programming language that works well with data. It’s a great option for statistical analysis, and has an active development community that’s constantly releasing new packages, making R code even easier to use. It’s built around a central data science concept: The DataFrame, so if you’re interested in data science, analysis, and visualization, you’ll want to learn how to use R.

Skills you'll gain

  • Write code in R

  • Organize, edit, and clean data

  • Create data visualizations

Syllabus

16 lessons • 10 projects • 10 quizzes

  • lesson Introduction to R Syntax
    project Calculating Population Change Over Time with R
    quiz Introduction to R
    video Introduction to the RStudio IDE
    video How is R Special?
    Learn R | Codecademy (4)
  • Certificate of completion available with Plus or Pro

    Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.

The platform

Hands-on learning

Learn R | Codecademy (5)

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Explore features

Projects in this course

  • practice ProjectBlood Transfusion AnalysisIn this project we will be using statistical techniques to make statements and draw conclusions about a blood tranfusion company's userbase.
  • practice ProjectCalculating Population Change Over Time with RIn this project, you will learn how to use the basics of R syntax and operations to make calculations.
  • practice ProjectExplore the 1985 Cars DatasetUse your knowledge of DataFrames, reader, and dplyr to explore this dataset about cars from 1985.

Earn a certificate of completion

Show your network you've done the work by earning a certificate of completion for each course or path you finish.

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Learn R course ratings and reviews

4.5

1,550 ratings

  1. 5 stars

    62%

  2. 4 stars

    29%

  3. 3 stars

    7%

  4. 2 stars

    1%

  5. 1 star

    2%

  • Great course to start learning how to code in R and to gain basic (and not so basic) knowledge about statistics at the same time

    Ingrid S.

    Verified Learner

  • This course was incredibly easy to follow along with. The practice exercises within the lesson were very helpful!

    Lindsay A.

    Verified Learner

  • It's a really comprehensive course and teaches you the basics of using R from no knowledge of programming beforehand. When you get stuck, the tips and solution may be able to help you understand what went wrong.

    Jin-Ying N.

    Verified Learner

Our learners work at

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.

Should I Learn R?

Learn R | Codecademy (12)

Learn R | Codecademy (13)

Kattie Thorndyke

Jun 28, 2021

If you are new to programming and trying to decide where to start, the choices can seem endless. There are so many programming languages to choose from. How do you know which one is for you?

The R programming language may be one of the languages you ran into in your search. And you might be wondering if R is the language for you. To help you decide, let’s take a look at why someone would want to learn R, what it is used for, and how easy it is to learn.

Continue reading

Join over 50 million learners and start Learn R today!

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Looking for something else?

Related resources

  • ArticleWhat is R?And what is R programming used for?
  • ArticleIntro to Data AcquisitionExploring and defining the methods of obtaining data
  • ArticleDeep Learning WorkflowIn this article, we cover the workflow for a deep learning project.

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  • Free courseLearn dplyrLearn how to organize data, manipulate datasheets, and clean data frames in R using dplyr.Checker DenseIntermediate8 hours

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Unlock additional features with a paid plan

  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.

  • Assessments

    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.

  • Certificate of Completion

    Earn a document to prove you've completed a course or path that you can share with your network.

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Learn R | Codecademy (2024)

FAQs

Is it difficult to learn R? ›

R is considered one of the more difficult programming languages to learn due to how different its syntax is from other languages like Python and its extensive set of commands. It takes most learners without prior coding experience roughly four to six weeks to learn R.

Can I learn R on my own? ›

Yes. At Dataquest, we've had many learners start with no coding experience and go on to get jobs as data analysts, data scientists, and data engineers. R is a great language for programming beginners to learn, and you don't need any prior experience with code to pick it up.

Is learning R or Python better? ›

They're both very powerful languages, so the answer has a lot to do with what you intend to do. If you're primarily looking to create and visualize statistical models, R will be the better choice. If your project goes beyond statistics, Python will offer you far more possibilities.

Why learn R instead of Excel? ›

It is very well known that Excel has a data storage limitation per spreadsheet. It can have a very limited amount of columns and rows, while R is made to handle larger data sets. Excel files are also known to crash when they exceed 20 tabs of data. Excel is able to handle a good chunk of data, but not much.

Is R easier than C++? ›

It supports various libraries and frameworks. In comparison, R is a programming language mainly used for Statistics and Data Analysis. It is easier than C++ to learn for beginners.

Is SQL or R easier to learn? ›

SQL is generally easier to learn for beginners, especially those with no programming background. R has a steeper learning curve but offers more flexibility and depth in data analysis and visualization.

Is R programming still in demand? ›

According to recent data, the R programming language has become the 6th most popular language for 2024. It is widely used for data science, statistical analysis, and machine learning. Additionally, the financial industry uses it for building statistical models.

How long does it take to get good at R? ›

Brand new programmers may take six weeks to a few months to become comfortable with the R language. Three months is generally enough time for any new programmer to use the language and start applying it in their professional life. By setting a goal with Pluralsight's Skills app, you learn at your own pace.

Can I get a job with only R programming? ›

Although it's essential to look at some different programming careers and the languages they use regularly, R will open opportunities for you to pursue a career in several data analytics and statistics-based positions, such as data scientist, data analyst, data architect, statistician, or data engineer.

Is R still relevant in 2024? ›

Perform statistical analysis in R with functions and packages. Performing statistical analysis in R is a valuable skill for aspiring data analysts to learn in 2024. R provides a wide range of functions and packages that make it easier to prepare data and perform complex analyses.

Is R software outdated? ›

The truth is, R is far from dead. While it's true that Python has gained significant traction in recent years, R remains a powerful language that offers unique benefits for data scientists. One of the critical advantages of R is its focus on statistics and data visualization.

Do people still use R? ›

As of August 2021, R is one of the top five programming languages of the year, so it's a favorite among data analysts and research programmers. It's also used as a fundamental tool for finance, which relies heavily on statistical data.

Is R software free? ›

R is a free statistical software package heavily influenced by S. It can be installed on Linux, Windows and MacOS.

Can you run r code in Excel? ›

If you're familiar with Microsoft Excel, or if you work with a lot of data files in Excel format, you might want to run R directly from inside Excel. The RExcel software lets you do just that (on Microsoft Windows systems). You can find information about this software at http://rcom.univie.ac.at/.

Why do I prefer R to Python? ›

Data scientists prefer R due to its analytical efficiency and progressive functionalities. Similarly, software developers, web developers, systems administrators, and software engineers prefer Python due to its popularity and expansive range of libraries.

How long does it take to learn basic R? ›

Brand new programmers may take six weeks to a few months to become comfortable with the R language. Three months is generally enough time for any new programmer to use the language and start applying it in their professional life. By setting a goal with Pluralsight's Skills app, you learn at your own pace.

Can I learn R in 2 months? ›

The learning curve for R varies depending on the depth; one can get first-hand familiarization of the language in a few weeks; nonetheless, profound knowledge, which is required for using R proficiently in elaborate applications and project, may take from several months to a year or perhaps more.

Is R easier than JavaScript? ›

Unlike R and other programming languages, JavaScript does not have as many guides and how-to tutorials available. This means it may take users much longer to solve problems.

References

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