Learn R
Dive into data science with our comprehensive R course. Master statistical analysis, data visualization, and manipulation.
Learn R is a beginner-level online course from Codecademy in Data Visualization. It is structured in 10 modules with 3 stated learning outcomes, over 14h. It is free to enrol, and a certificate is available on completion. Learners rate it 4.5/5 from 2.1K ratings on Codecademy.
Part of our Data Visualization courses collection, where we compare it against 5 other courses.
Course highlights
| Provider | Codecademy |
| Duration | 14h |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.5★ (2.1K reviews) |
| Price | Free |
About this course
What the course covers
The Codecademy "Learn R" course helps you start with data science. It teaches you how to use the R programming language for statistical analysis, data visualization, and data manipulation. You will learn to write R code, organize and clean data, and create visual representations of data.
The course syllabus covers an introduction to R and working with Data Frames. You will learn Data Cleaning techniques and the fundamentals of Data Visualization using ggplot2. Other topics include Aggregates, Joining Tables, and key statistical concepts. These include Mean, Median, Mode, Variance, Standard Deviation, Quartiles, Quantiles, Interquartile Range, and Hypothesis Testing.
Who this course suits and who should skip it
This course is designed for beginners who want to learn R for data science. If you are new to programming or data analysis and want to understand statistical concepts and data visualization, this course is a good starting point. It is also suitable for those looking for a free, self-paced learning option.
You should skip this course if you already have experience with R programming. It is also not ideal if you are looking for advanced data science topics or prefer to use other tools like Tableau for data visualization.
How this course compares with alternatives
The Codecademy "Learn R" course focuses on teaching the R programming language for a wide range of data science tasks. It covers programming, data cleaning, statistical analysis, and data visualization. This course is free and takes 14 hours to complete.
An alternative is the Data Visualization with Tableau course from Coursera. This course focuses specifically on data visualization using Tableau, a different tool. While both are for beginners and offer a certificate, the Coursera course takes 1 month to complete and uses Tableau instead of R.
Frequently Asked Questions
- Is this course suitable for beginners?
Yes, the "Learn R" course from Codecademy is designed for beginners. It introduces you to the R programming language and fundamental data science concepts.
- What will I learn in this course?
You will learn to write R code, organize and clean data, and create data visualizations. The course also covers statistical concepts like mean, median, and hypothesis testing.
- Does this course offer a certificate?
Yes, upon completing the "Learn R" course, Codecademy provides a certificate. This can be a valuable addition to your professional profile.
- How long does it take to complete this course?
The Codecademy "Learn R" course is self-paced and has an estimated duration of 14 hours. You can learn at your own speed.
What you’ll learn
Level and time commitment
What this course covers
10 modulesThe 10-part outline Codecademy publishes for this course, across 14h.
Module 1 · Learn R: Introduction
Module 2 · Learn R: Data Frames
Module 3 · Learn R: Data Cleaning
Module 4 · Learn R: Fundamentals of Data Visualization with ggplot2
Module 5 · Learn R: Aggregates
Module 6 · Learn R: Joining Tables
Module 7 · Learn R: Mean, Median, and Mode
Module 8 · Learn R: Variance and Standard Deviation
Module 9 · Learn R: Quartiles, Quantiles, and Interquartile Range
Module 10 · Learn R: Hypothesis Testing
What learners rate it
Rated 4.5/5 by 2.1K learners on Codecademy (checked 10 Aug 2026).
This rating is collected by Codecademy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Codecademy →
Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Codecademy course pages — we never estimate a price or a rating. Last verified 10 August 2026.
How we compare and rank courses · Our review policy · Affiliate disclosure
Compare with alternatives
Same topic, different trade-offs — here's who runs each one and what it's best at.
| Course | Provider | Rating | Price | Duration | Why pick this one |
|---|---|---|---|---|---|
| Learn R This | Codecademy | 4.5★ | Free | 14h | Free — certificate included |
| Data Visualization with R |
 Coursera
|
4.6★ | Check price | 12h 17m | Beginner-friendly · 12h 17m |
| Power BI and Tableau for Data Visualization [2-in-1 Bundle] |
 Udemy
|
4.6★ | Free | Free — and still gives a certificate | |
| Learn Tableau for Data Visualization | Codecademy | 4.5★ | Free | 1h | Quickest to finish (1h) |
Where Data Visualization leads
Roles we map to Data Visualization on CoursesGlobal. This is our own mapping of subject to job, not a placement claim by Codecademy.
Browse every course we track for one of these — courses for data analysts.
Common questions
Is Learn R free?
Yes. Codecademy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.
Does Learn R come with a certificate?
Yes — Codecademy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
How long does Learn R take?
Codecademy lists it at 14h. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.
Is Learn R suitable for beginners?
Yes. Codecademy lists it at Beginner level, so no prior experience in the subject is assumed.
What does Learn R cover?
It is organised into 10 modules, starting with Learn R: Introduction and going on to Learn R: Data Frames, Learn R: Data Cleaning, Learn R: Fundamentals of Data Visualization with ggplot2, Learn R: Aggregates, among others. The full outline is on this page.