5 Best R Courses with R logo background

5 Best R Courses in 2021 [Learn R Programming for Beginners]

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TLDR: 5 Best R Courses in 2021

💥
DataCamp: Introduction to the Tidyverse
💥
DataCamp: Introduction to R
💥
Educative.io: Learn R from Scratch
💥
Codecademy Pro: Learn R
💥
Coursera: Data Science – Foundations using R (Specialization)

🔥 Bonus Project: Getting Started with R

What is R programming?

R is an open-source programming language with a runtime environment. R is used for developing statistical software and data analysis.

What are the best R courses?

All of our picks for Best R Courses are for beginners. And that’s because you need a solid foundation if you want to master R programming.

So we picked courses that best explain the fundamentals of R programming.

1. DataCamp: Introduction to the Tidyverse

⚠️ Level: Beginner
⏲️ Estimated Completion Time: 4 Hours
🎖️Certificate of Completion: Yes
📖 Lessons: 50

Tidyverse is a powerful set of tools frequently used in R programming.

With DataCamp’s gamified environment, you’ll learn about data manipulation and data visualization using dplyr and ggplot2.

In addition, you’ll learn how to manipulate data by:

  • filtering
  • sorting
  • summarizing

And more.

Introduction to the Tidyverse does not require any previous R knowledge. This course is a wonderful introduction to data analysis.

Course Layout

You’ll learn using a combination of interactive text and video lessons.

There are 4 chapters:

✅ Data Wrangling

✅ Data Visualization

✅ Grouping and Summarizing

✅ Types of Visualizations

Video explanation of visualizing with ggplot2 in the course Introduction to the Tidyverse on DataCamp.

In addition, you’ll work on numerous quizzes and interactive exercises.

Interactive exercise to create a subgraph in the course Introduction to the Tidyverse on DataCamp.

💰 Cost

There is a free tier on DataCamp, but the features are limited.

Or you can get a subscription for $25 per month.

🤩 And for a yearly subscription of $33.25 per month, you’ll get some extra perks:

FreeMonthly SubscriptionYearly Subscription
CoursesFirst chapter only340+340+
Projects7785+
Challenges
Skill Tracks
Career Tracks
Support & More

Sign up for DataCamp’s Introduction to the Tidyverse
👉 here. 👈

2. DataCamp: Introduction to R

⚠️ Level: Beginner
⏲️ Estimated Completion Time: 4 Hours
🎖️Certificate of Completion: Yes
📖 Lessons: 62

Similar to the previous course, Introduction to R uses a gamified environment to teach R programming.

Here you’ll master the basics of R such as:

  • factors
  • lists
  • data frames

And more.

Again, you don’t need any previous R experience.

Arithmetic in R lesson and exercise in the course Introduction to R on DataCamp.

Course Layout

Introduction to R has 6 chapters. With interactive learning, it covers:

✅ Intro to the Basics

✅ Vectors

✅ Matrices

✅ Factors

✅ Data Frames

✅ Lists

And more.

Lesson on matrices in the course Introduction to R on DataCamp. After reading about matrices, you’ll work on an interactive coding exercise with the embedded code editor.

💰 Cost

There’s a free tier on DataCamp, but features are very limited.

Or you can subscribe for $25 per month.

🤩 And for a yearly subscription of $33.25 per month, you’ll get more perks:

FreeMonthly SubscriptionYearly Subscription
CoursesFirst chapter only340+340+
Projects7785+
Challenges
Skill Tracks
Career Tracks
Support & More

Sign up for DataCamp’s Introduction to R
👉 here. 👈

3. Educative: Learn R from Scratch

⚠️ Level: Beginner
⏲️ Estimated Completion Time: 10 hours
🎖️Certificate of Completion: Yes
📖 Lessons: 83

QuizzesChallengesPlaygroundsCode Snippets
82016393

Learn R from Scratch is an interactive course on Educative.io. There are no videos, but plenty of code snippets and playgrounds.

You don’t need any prior experience with R.

So you’ll start with the basics and work up to advanced concepts.

Course Layout

With 11 modules, you’ll learn about:

✅ Variables

✅ Exploring R Objects

✅ R Operators and Notation

✅ Conditional Statements

✅ Loops & Functions

✅ Exception Handling

And much more.

Typical learning environment in Learn R from Scratch on Educative.io. In addition to diagrams, you’ll find playgrounds, code snippets, quizzes and challenges.

From there you’ll work on 3 challenges covering concepts such as mean and median, vectors and input/output.

Find the Mean and Median challenge in the beginner course Learn R from Scratch on Educative.io.

💰 Cost

This course is free for a limited time.

But if you purchase a subscription to Educative.io, you’ll have full access to over 185 courses. And counting.

You can get a monthly subscription for $59 per month.

Or you can get a yearly subscription for $21 per month.

Sign up to Learn R from Scratch
👉 here. 👈

4. Codecademy Pro: Learn R

⚠️ Level: Beginner
⏲️ Estimated Completion Time: 20 Hours
🎖️Certificate of Completion: Yes
📖 Lessons: 16

In Learn R, you’ll learn about fundamental programming concepts in R.

In addition you’ll learn how to:

  • organize, modify and clean data frames
  • create data visualizations
  • use statistics and hypothesis testing

And more.

You don’t need previous experience with R programming.

Course Layout

Learn R has 10 chapters which cover:

✅ Data Frames

✅ Data Cleaning

✅ Variance and Standard Deviation

✅ Joining Tables

✅ Hypothesis Testing

And more.

Typical learning environment in Learn R on Codecademy Pro. It contains a lesson, exercise instructions and an embedded code editor.

Plus you’ll work on mini projects and take multiple choice quizzes.

Quiz example on data cleaning from Learn R on Codecademy Pro.

💰 Cost

You can get Codecademy’s Learn R for free.

And if you like it, consider signing up for a monthly or yearly subscription to Codcademy Pro.

There are more R programming courses ranging from beginner to advanced.

FreeMonthly $40/moYearly $20/mo
CoursesBasicAllAll
ProjectsLimitedUnlimitedUnlimited
Support
Members-only Content

Sign up for Learn R on Codecademy Pro
here.

5. Coursera: Data Science – Foundations Using R (Specialization)

⚠️ Level: Beginner
⏲️ Estimated Completion Time: 5 months
🎖️Certificate of Completion: Yes
📖 Lessons: 5 courses

Data Science: Foundations Using R is a little different than our other offerings.

It’s a Specialization which means that it contains multiple courses. And it typically takes about 5 months to complete.

You don’t need any previous experience with R programming.

Specialization Layout

With 5 courses, this specialization covers:

The Data Scientist’s Toolbox – general overview of data tools that data analysts and data scientists work with

R Programming – learn how to program in R and use R for data analysis

Getting and Cleaning Data – ways data can be obtained and cleaned

Exploratory Data Analysis – exploratory techniques to summarize data

Reproducible Research – tools to report modern data analyses in a reproducible manner

And much, much more.

💰 Cost

You can sign up for Coursera’s Data Science: Foundations Using R Specialization for $49 per month.

But for $59 per month, you’ll gain access to over 3000 more courses, specializations, guided projects and more.

Sign up for Coursera’s Data Science: Foundations Using R Specialization
👉 here. 👈

Bonus Project: Getting Started with R

⚠️ Level: Beginner
⏲️ Estimated Completion Time: 2 Hours
🎖️Certificate of Completion: N/A
📖 Lessons: 9

Not ready for a full commitment but want to explore the R programming language?

For $10, you can take Coursera’s beginner project Getting Started with R.

Learning environment in Getting Started with R, a guided project on Coursera.

Using a split-screen video walkthrough of each step, you’ll learn:

✅ the basics of R

✅ how to use RStudio

✅ about data types and data structures

✅ how to install packages and import data

And beyond.

RStudio setup in the guided project Getting Started with R on Coursera.

When you’re finished building your project, you can download it for personal use.

💰 Cost

You can snag this guided project Getting Started with R on Coursera for about $10.

Sign up for the guided project Getting Started with R on Coursera
👉 here. 👈

Conclusion: 5 Best R Courses

Today we showed you our top 5 best R courses:

DataCamp: Introduction to the Tidyverse
DataCamp: Introduction to R
Educative.io: Learn R from Scratch
Codecademy Pro: Learn R
Coursera: Data Science – Foundations using R (Specialization)

Plus we showed you a beginner bonus project in R:
Bonus Project: Getting Started with R

So if you’re a beginner, any of these R courses will be a good start.

Ready to learn more about data science?

We reviewed 4 of the best data science courses for beginners from Codecademy, DataCamp, Educative.io and Zero to Mastery. Read all about it here.


  1. What are the best R courses?

    Some the best R courses are for beginners. So we recommend platforms such as DataCamp, Codecademy Pro, Educative and Coursera. Some beginner courses include: 1.) DataCamp – Introduction to the Tidyverse 2.) DataCamp: Introduction to R 3.) Educative.io: Learn R from Scratch 4.) Codecademy Pro: Learn R 5.) Coursera: Data Science – Foundations using R Specialization

  2. What are the best online courses for R?

    If you're looking for the best online courses for R for beginners, we recommend platforms such as DataCamp, Codecademy Pro, Educative and Coursera. Some courses include: 1.) DataCamp – Introduction to the Tidyverse 2.) DataCamp: Introduction to R 3.) Educative.io: Learn R from Scratch 4.) Codecademy Pro: Learn R 5.) Coursera: Data Science – Foundations using R Specialization

  3. What's the best way to learn R programming?

    Online courses are considered to be one of the best ways to learn R programming. And for beginners, we recommend 1.) DataCamp – Introduction to the Tidyverse 2.) DataCamp: Introduction to R 3.) Educative.io: Learn R from Scratch 4.) Codecademy Pro: Learn R 5.) Coursera: Data Science – Foundations using R Specialization