Best R Courses for Intermediate Learners in 2026

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So you've mastered the basics of R and are ready to take your skills to the next level. But with so many intermediate R courses out there, how do you choose the right one? Don't worry, we've got you covered. In this guide, we'll review the best R courses for intermediate learners in 2026 to help you find the perfect fit for your learning style and career goals.

The best R courses for intermediate learners will help you build on your existing knowledge and master more advanced topics like data manipulation, data visualization, and machine learning. Whether you're a data analyst looking to upskill or a student hoping to break into the field, these courses will give you the skills you need to succeed.

At a Glance: Best R Courses for Intermediate Learners

Course Name	Platform	Price	Duration	Rating
Intermediate R	DataCamp	Subscription	4 hours	4.5/5
Data Science: R Basics	edX	Free (Verified track available)	8 weeks	4.6/5
R Programming	Coursera	Included with Coursera Plus	60 hours	4.6/5
Programming with R	Pluralsight	Subscription	3 hours	4.5/5
Data Science with R Certification Course	Simplilearn	$999	60 hours	4.7/5
R Programming A-Z: R For Data Science With Real Exercises!	Udemy	$94.99	10.5 hours	4.6/5
Programming for Data Science with R (Nanodegree)	Udacity	$399/month	3 months	4.8/5
Data Science Certification Course using R	Edureka	$449	36 hours	4.5/5
An Introduction to R for Data Science	Experfy	$499	4 weeks	4.4/5
Learning R	LinkedIn Learning	Subscription	3 hours	4.6/5

10 Best R Courses for Intermediate Learners in 2026

1. Intermediate R (DataCamp)

Platform: DataCamp
Price: Subscription
Duration: 4 hours
Rating: 4.5/5
Key Features: Interactive exercises, focus on the tidyverse, real-world case studies.
Who It's Best For: Learners who prefer a hands-on, interactive approach.

Try Intermediate R on DataCamp

2. Data Science: R Basics (edX)

Platform: edX
Price: Free (Verified track available)
Duration: 8 weeks
Rating: 4.6/5
Key Features: Taught by Harvard professors, uses a real-world dataset, part of a professional certificate program.
Who It's Best For: Learners who want a rigorous, academic introduction to R for data science.

Enroll in Data Science: R Basics on edX

3. R Programming (Coursera)

Platform: Coursera
Price: Included with Coursera Plus
Duration: 60 hours
Rating: 4.6/5
Key Features: Taught by Johns Hopkins University professors, covers a wide range of topics, part of the Data Science Specialization.
Who It's Best For: Learners who want a comprehensive, university-level course.

Take R Programming on Coursera

4. Programming with R (Pluralsight)

Platform: Pluralsight
Price: Subscription
Duration: 3 hours
Rating: 4.5/5
Key Features: Short and to-the-point, focuses on practical skills, good for a quick refresher.
Who It's Best For: Learners who want a concise overview of intermediate R concepts.

Start Learning R on Pluralsight

5. Data Science with R Certification Course (Simplilearn)

Platform: Simplilearn
Price: $999
Duration: 60 hours
Rating: 4.7/5
Key Features: Live online classes, hands-on projects, industry-recognized certification.
Who It's Best For: Learners who want a structured, instructor-led program.

Get Certified with Simplilearn

6. R Programming A-Z: R For Data Science With Real Exercises! (Udemy)

Platform: Udemy
Price: $94.99
Duration: 10.5 hours
Rating: 4.6/5
Key Features: Step-by-step approach, real-world examples, lifetime access.
Who It's Best For: Learners who want a project-based course with lots of practice.

Learn R on Udemy

7. Programming for Data Science with R (Nanodegree) (Udacity)

Platform: Udacity
Price: $399/month
Duration: 3 months
Rating: 4.8/5
Key Features: Real-world projects, mentor support, career services.
Who It's Best For: Learners who are serious about a career in data science.

Start your Nanodegree at Udacity

8. Data Science Certification Course using R (Edureka)

Platform: Edureka
Price: $449
Duration: 36 hours
Rating: 4.5/5
Key Features: Live online classes, 24/7 support, lifetime access to course materials.
Who It's Best For: Learners who want a flexible, self-paced course with instructor support.

Become a Data Scientist with Edureka

9. An Introduction to R for Data Science (Experfy)

Platform: Experfy
Price: $499
Duration: 4 weeks
Rating: 4.4/5
Key Features: Taught by industry experts, hands-on projects, small class sizes.
Who It's Best For: Learners who want a personalized learning experience.

Join the Experfy R Course

10. Learning R (LinkedIn Learning)

Platform: LinkedIn Learning
Price: Subscription
Duration: 3 hours
Rating: 4.6/5
Key Features: Taught by an experienced data scientist, covers the basics of R and RStudio, good for beginners.
Who It's Best For: Learners who want a quick and easy introduction to R.

Start Learning R on LinkedIn Learning

How We Chose These Courses

To compile this list of the best R courses for intermediate learners, we considered a variety of factors, including:

Curriculum: We looked for courses that cover a range of intermediate topics, from data manipulation and visualization to machine learning.
Instructional Quality: We prioritized courses taught by experienced instructors with a proven track record of success.
Student Reviews: We read through hundreds of student reviews to get a sense of what learners liked and disliked about each course.
Value: We considered the price of each course and whether it offered good value for the money.

Frequently Asked Questions

1. What are the prerequisites for an intermediate R course?

Most intermediate R courses assume that you have a basic understanding of R syntax and data structures. You should be comfortable with concepts like variables, data types, functions, and control flow.

2. How long does it take to learn intermediate R?

The amount of time it takes to learn intermediate R will vary depending on your learning style and the amount of time you can dedicate to studying. However, most learners can expect to spend between 20 and 60 hours to master the material.

3. What is the best way to learn R?

The best way to learn R is to find a course that matches your learning style and to practice as much as possible. The more you use R, the more comfortable you will become with the language.

Ready to Start Learning?

We hope this guide has helped you find the best R course for intermediate learners for your needs. With so many great options to choose from, you're sure to find a course that will help you take your data analysis skills to the next level.