According to polls, data mining surveys, and examinations of scientific literature databases, R is quite popular. R has been ranked 14th in the TIOBE index, a measure of programming language popularity, since August 2021.
The best is to take up a course with R programming training online. We have listed the 15 best R courses online. Make your pick!
15 Best R Programming Course for Beginners
 R Programming AZ: R for Data Science With Real Exercises by (Udemy)
 Data Science And Machine Learning Bootcamp with R by (Udemy)
 R Programming: Advanced Analytics In R for Data Science by (Udemy)
 R Programming For Statistics and Data Science 2024by (Udemy)
 R Programming For Absolute Beginners by (Udemy)
 R Programming Offered by Johns Hopkins University (Coursera)
 Introduction to R Programming for Data Science offered by IBM (Coursera)
 Programming for Data Science with R by (Udacity)
 R Programming Course Online by (edX)
 Learning R by (LinkedIn Learning)
 Programming with R by (Pluralsight)
 Data Science with R Certification Course by (Simplilearn)
 Introduction to R by (DataCamp)
 Learn R with (Codecademy)
 Introduction to R by (Great Learning)
15 Best R Courses Online for This Year
1. R Programming AZ: R for Data Science With Real Exercises by Udemy
This is a true stepbystep course. Every subsequent tutorial builds on what you’ve already learned and takes you one step further.
After each video, you’ll discover a new helpful topic that you can put into practice right away. Of course, the finest thing is that you learn by watching reallife examples.
This best R programming course online is jampacked with realworld analytical problems that you will learn to answer. Some of these will be solved together, while others will be assigned as homework.
In conclusion, this is one of the best online courses for R programming that has been developed for students of all skill levels, and you will succeed even if you have no programming or statistical experience!
Rating  4.6 based out of 43,700 ratings 
Duration  10 hours 30 minutes 
Level  Beginner level course 
Refund Policy  30day return policy 
Certificate Provided  Yes 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded lessons 
Course Type  Paid 
Course Instructor  Kirill Eremenko, Ligency Team, Ligency I Team 
Scope for Improvement (Cons)  It is an amazing beginner friendly course. However, you will need more training to kick start your career after this course. 
Topics Covered
 Core programming principles
 Types of variables
 Using variables
 Logical variables and operators
 ‘While’ Loop
 ‘For’ Loop
 ‘If’ Statement
 Fundamentals of R
 Vector
 Creating vectors
 Vectorized operations
 Power of Vectorized operations
 Matrices
 Building the first matrix
 Naming dimensions
 Matrix operations
 Subsetting
 Data frames
 Importing data into R
 Exploring the dataset
 Building data frames
 Merging data frames
 Introduction to qplot
 Advanced visualization with GGPlot2
 Plotting with layers
 What is a factor?
 Histograms and density charts
 Conclusion
Learning Outcomes
 With these best R courses online, you get a good understanding of R programming and R Studio
 In this tutorial, you’ll learn how to make vectors in R.
 Find out how to make variables.
 R’s types include integer, double, logical, character, and others.
 Learn how to use the while() and for() functions in R.
 You’ll learn how to create and use matrices.
 Learn the matrix(), rbind(), and cbind() functions ()
 Learn how to use R to install packages.
 Learn how to personalize R studio to fit your needs.
 Recognize the Rule of Large Numbers
 Learn about the normal distribution.
 Experiment with statistical, financial, and sports data in R.
Prerequisites
There is no requirement for prior knowledge or expertise to pursue this best R Programming certification course.
Is it the right course for you?
This is the course for you, if:
 You wish to learn how to program in R.
 You have taken R classes but found them too difficult.
 You are someone who enjoys challenging tasks and wants to learn R by doing.
Review Janith C.
Thank you for this awesome course. I really enjoyed the step by step approach of the concepts. Did really enjoy learning the basics!
2. Data Science And Machine Learning Bootcamp with R by Udemy
This is one of the best R courses online for complete novices with no programming knowledge and experienced developers who want to move into Data Science!
This complete R programming training online is equivalent to a Data Science bootcamp that typically costs thousands of dollars, but you can now study everything for a fraction of that price!
This is one of the most comprehensive data science and machine learning courses on Udemy, with over 100 HD video lectures and complete code notebooks for each lecture!
In this best R programming course online, you will learn how to program in R, generate stunning data visualizations, and utilize R for machine learning.
Rating  4.7 based out of 14,126 ratings 
Duration  17 hours 30 minutes course 
Level  Beginner level course 
Refund Policy  30day return policy 
Certificate Provided  Yes 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded lessons 
Course Type  Paid best online course for R programming 
Course Instructor  Jose Portilla 
Scope for Improvement (Cons)  Some learners may struggle with the course teaching pattern. Not everything is spoonfed in this course. 
Topics Covered
 Windows installation setup
 Mac OS installation setup
 Linux Installation
 Development Environment
 More about R basics
 Arithmetic in R
 Variables
 R basic data types
 Vector basics
 Vector operations
 Comparison operators
 Vector indexing and slicing
 Introduction to R Matrices
 Matrix arithmetic
 Matrix operations
 Matrix selection and indexing
 Factor and categorical matrices
 R data frames
 Data frame indexing and selection
 Data input and output with R
 R programming basics
 Advanced R programming
 Data manipulation with R
 Data visualization with R
 Interactive Visualizations with Plotly
 Machine Learning with R
 Linear Regression
 Logistic Regression
 Decision trees and random forests
Learning Outcomes
 Understand R programming
 Analyze and alter data with R
 Do data visualizations
 Learn to use R to manage csv, excel, SQL, and web scraping files.
 Learn machine learning algorithms in R
 Use R as a tool for data science
Prerequisites
To take up these best R courses online, you need:
 Access to a computer with the ability to download files.
 Math Fundamentals
Is it the right R programming training online for you?
Anyone interested in pursuing a career as a data scientist can attend this class.
Review Damien O.
After taking the SQL course by Jose, I really enjoyed Jose’s teaching style, and in this course I was certainly not let down. Efficient, effective, and clear, as I hoped.
3. R Programming: Advanced Analytics In R for Data Science by Udemy
You’ll begin by working with financial data, cleaning it up, and preparing it for analysis in the first section of this best R Programming certification course.
Next, you will be given the task of creating graphs depicting income, expenses, and profit for various sectors.
In the second segment, you will prepare several data analysis jobs to assist Coal Terminal in determining which equipment is underutilized.
In the third section, you’ll visit the meteorology bureau to evaluate weather forecast patterns.
Rating  4.6 based out of 7492 ratings 
Duration  6 hours course 
Level  Intermediate level course 
Refund Policy  30day return policy 
Certificate Provided  Yes 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded R programming training online 
Course Type  Paid 
Course Instructor  Kirill Eremenko, Ligency I Team, Ligency Team 
Scope for Improvement (Cons)  Repetition of the same content is found in this course. Also, the course name suggests advanced level but actually it is best for intermediate learners. 
Topics Covered
 Data preparation
 Importing data into R
 gsub() and sub()
 Dealing with missing data
 Data filters
 Removing records with missing data
 Resetting the dataframe index
 Lists in R
 Handling DateTimes in R
 Naming components of a list
 Extracting components lists
 Adding and deleting components
 Subsetting a list
 Creating a time series plot
 ‘’Apply” family of functions
 Using lapply()
 Using sapply()
 Nesting apply functions()
 Conclusion
Learning Outcomes
This R programming course online will teach you:
 How is R used to prepare data?
 Recognize missing records in dataframes
 Find missing information in your dataframes.
 To replace lost records, use the Median Imputation technique.
 To replace missing records, use the Factual Analysis approach.
 Learn how to utilize the which() function.
 Understand how to reset the dataframe index.
 Replace strings using the gsub() and sub() methods.
 Explain why NA is a logical constant of the third type.
 Convert dates and times to POSIXct time.
 Lists in R can be created, used, appended, modified, renamed, accessed, and subset.
 When working with Lists, understand when to use [] and when to use [[]] or the $ sign.
 In R, make a time series plot.
 Recognize how the Apply family of functions works.
 Using a for() loop, recreate an apply statement.
Prerequisites
 Basic knowledge of R
 Knowledge of the GGPlot2 package is recommended
 Knowledge of dataframes
 Knowledge of vectors and vectorized operations
Is it the best R Programming certification course for you?
 Anyone with a basic understanding of R who wants to advance their expertise or someone who has already finished the R Programming AZ course is most eligible for this course.
 This course is NOT intended for complete R beginners.
Review Andrew I.
Great course! Great series of courses! Love what they are doing with creating structured pathways of learning for different careers.
4. R Programming For Statistics and Data Science 2024 by Udemy
R for Statistics and Data Science is one of the best R courses online that will take you from a total beginner in R programming to a professional capable of performing data manipulation on demand.
This is the best R programming course online that provides you with the comprehensive skill set to confidently begin a new data science project and critically evaluate your own and others’ work.
Rating  4.6 based out of 3646 ratings 
Duration  6 hours 30 minutes course 
Level  Beginner level course 
Refund Policy  30day return policy 
Certificate Provided  Yes 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded best R Programming certification courses 
Course Type  Paid 
Course Provider  365 careers,365 Simona 
Scope for Improvement (Cons)  The instructor speaks a bit too fast, making the instructions hard to follow in some places. 
Topics Covered
 The building blocks of R
 Vectors and vector operations
 Matrices
 Fundamentals of programming with R
 Data frames
 Manipulating data
 Visualizing data
 Exploratory data analysis
 Hypothesis Testing
 Linear Regression Analysis
Learning Outcomes
 In these best R courses online, you will learn programming principles and use R’s conditional expressions, functions, and loops to your advantage.
 Create your own functions in R.
 Transfer your data into and out of R.
 Use R as a great way to learn the fundamental tools of data science.
 Use the Tidyverse ecosystem of packages to manipulate data.
 In R, investigate data systematically.
 Graphics grammar and the ggplot2 package
 Data visualization to draw conclusions
 When and how to transform data: best practices
 Data indexing, slicing, and subsetting
 Learn the principles of statistics and put them to use.
 R hypothesis testing
 Recognize and apply regression analysis in R
 Use dummy variables to your advantage.
 Learn how to create datadriven decisions!
 Have some fun by disassembling Star Wars and Pokemon data, as well as some more serious data sets.
Who should take this R Programming course online?
 Data scientists with aspirations
 Beginners in programming with interest in statistics and data analysis
 Anyone interested in learning to code and putting their knowledge into practice.
Review Jhonatan Antonio M.
Great!… Very clear explanations, the instructor has a fluent english language very easy to understand, Thanks.
5. R Programming For Absolute Beginners by Udemy
R is the most extensively used statistical programming language. It is strong, versatile, and simple to use. As a result, it is the preferred option for thousands of data analysts in businesses and academics. You will learn this and more with these best R courses online.
This best online course for R programming will teach you the fundamentals of R in a short time, allowing you to take the first step toward becoming a professional R data scientist.
Rating  4.6 based out of 2626 ratings 
Duration  9.5 hours course 
Level  Beginner level best R Programming certification course 
Refund Policy  30day return policy 
Certificate Provided  Yes 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded lessons 
Course Type  Paid 
Course Provider  Bogdan Anastasiei 
Scope for Improvement (Cons)  This course has not been updated for long. 
Topics Covered
 Getting Started with R
 Vectors
 Matrices and Arrays
 Lists
 Factors
 Data Frames
 Programming Structures
 Working With Strings
 Plotting in Base R
 Download Links
Learning Outcomes
 Use vectors, matrices, and lists.
 Work with variables
 Control data frames
 Create intricate programming structures (loops and conditional statements)
 Create their own binary operations and functions.
 Create charts in R.
Prerequisites
 There are no additional requirements; all you need to know is how to use a computer.
Is it the best R programming course online for you?
 Aspiring data scientists
 Researchers in academia
 Doctoral students
 Anyone who wishes to learn R
Review Jennifer.
Great course! Product is exactly as described. Lectures are easy to understand and implement in R workspace. This course has really been a benefit to me. Thank you!
6. R Programming Offered By Johns Hopkins University (Coursera)
Coursera is a known platform that offers the best R courses online. This course will teach you how to program in R and how to use R for successful data analysis.
You’ll learn how to install and configure the tools required for a statistical programming environment, as well as how to express generic programming language principles as they’re implemented in a highlevel statistical language.
The R Programming course online addresses practical topics in statistical computing such as programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, organizing and commenting R code, etc.
Rating  4.5 based out of 21373 ratings 
Duration  57 hours 
Level  Intermediate level course 
Refund Policy  7days free trial 
Certificate Provided  Yes 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded lessons 
Course Type  Paid 
Course Provider  Roger. D. Peng, Jeff Leek, Brian Caffo 
Scope for Improvement (Cons)  The assignments were too hard and not well linked to the rest of the content of this R programming certification online course.

Topics Covered
 How to write codes
 R Console Input and Evaluation
 Data types R objects and attributes
 Vectors and lists
 Matrices
 Factors
 Missing Values
 Data frames
 Names attribute
 Textual Data formats
 Subsetting basics
 Subsetting lists
 Subsetting matrices
 Subsetting – partial matching
 Vectorized operations
 Programming with R
 R Functions
 Scoping rules
 Coding standards
 Loop functions and Debugging
 Simulation and Profiling
 The str function
Learning Outcomes
 Understand key programming language ideas
 Set up statistical programming software.
 Utilize R loop functions and debugging tools.
 Using R profiler, collect detailed information.
Prerequisites
Familiarity with regression is recommended.
Review MR.
Really interesting course. The interactive coding sessions with swirl are especially useful. Would be great, if you provided sample solutions for the programming assignments, in particular for week 4.
7. Introduction to R Programming for Data Science offered by IBM (Coursera)
This best R Programming certification course will teach you the fundamentals of the R programming language, including data types, manipulation techniques, and how to accomplish basic programming tasks.
With the help of the best R courses online, you will begin to comprehend common data structures, programming fundamentals, and how to handle data.
This R Programming course online has a strong emphasis on handson and practical learning. You will use RStudio to develop a simple program, manipulate data in a data frame or matrix, and complete a final project as a data analyst utilizing Watson Studio and Jupyter notebooks to collect and analyze datadriven insights.
Rating  4.6 based out of 85 ratings 
Duration  11 hours course 
Level  Beginner level course 
Refund Policy  7days free trial 
Certificate Provided  Yes, you get R programming certification online 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded lessons 
Course Type  Paid 
Course Provider  Yan Luo 
Scope for Improvement (Cons)  The concepts are not taught deeply. This R programming training online is just an overview of the topics covered.

Topics Covered
 R basics
 Basic data types
 Math, Variables and Strings
 Writing and Running R in Jupyter Notebooks
 Common data structures
 Vectors and factors
 Vector Operations
 Lists
 Arrays and Matrices
 Data frames
 R programming fundamentals
 Conditions and loops
 Functions in R
 String operations in R
 Regular expressions
 Data format in R
 Debugging
 Working with data
 Reading text files in R
 Writing and saving to files
 HTTP request and REST API
 Web Scraping in R
 Project
 Conclusion
Learning Outcomes
These best R courses online, will teach you to:
 Manipulate numeric and textual data types with the R programming language and RStudio or Jupyter Notebooks.
 With this bestR Programming course for beginners, you will also define and modify R data structures such as vectors, factors, lists, and data frames.
Prerequisites
No prior knowledge is required to pursue this R programming certification online course.
Review MR.
Exceptional course for beginners in R programming and data science enthusiasts. Highly recommended!
8. Programming for Data Science with R by Udacity
Learn the fundamentals of programming essential for a career in data science. You will be able to use R, SQL, CommandLine, and Git by the end of the best R courses online.
Rating  4.8 based out of 91 ratings 
Duration  3 months course 
Level  Beginner level course 
Refund Policy  2day return policy 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded R Programming course online 
Course Type  Paid 
Course Provider  Josh Bernhard, Derek Steer, Juno Lee, Richard Kalehoff and Karl Krueger 
Topics Covered
 Introduction to SQL
 Introduction to R Programming
 Introduction to Version Control
Learning Outcomes
 Learn SQL basics, including JOINs, Aggregations, and Subqueries. Discover how to utilize SQL to solve challenging business problems.
 Understand the essentials of R programming, such as data structures, variables, loops, and functions. With these best R courses onlinealso know how to use the popular data visualization library ggplot2 to visualize data.
 Learn about version control and how to share your work with others in the data science profession.
Best Online Course for R Programming – Bonus Entries!
1. R Programming Courses by edX
Learn with online courses and lessons from Harvard, MIT, and other worldclass colleges. Understand the R console, the R community, algorithms, and more.
Some of the best R courses offered by this platform are listed below. You may enroll in them for free and upgrade to the paid option if you need a certification:
2. Learning R by Linkedin Learning
LinkedIn Learning has some of the best R courses online for novices and experienced learners.
In this R programming training online with professor and data scientist Barton Poulson, you’ll learn the fundamentals of R and get started with finding insights from your own data.
The tutorials in this R programming course online show you how to get started with R, including how to install R, RStudio, and code packages that increase R’s capabilities. You’ll also learn how to utilize R and RStudio for basic data modeling, visualization, and statistical analysis.
By the end of the course, you’ll have a solid understanding of R’s power and flexibility, as well as how to use it to explore and analyze a wide range of data.
Rating  4.6 based out of 1212 ratings 
Duration  2 hours 51 minutes course 
Level  Beginner and intermediate level course 
Certificate Provided  Yes 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded lessons 
Course Type  Paid 
Course Provider  Barton Poulson 
Scope for Improvement (Cons)  Detailed explanations are missing from this course. 
Topics Covered
 R for Data Science
 What is R
 R in context
 Installing R
 Environments for R
 Installing RStudio
 Navigating the RStudio Environment
 Data types and structures
 Comments and headers
 Packages for R
 The Tidyverse
 Data Visualization
 Using colors in R
 Creating histograms
 Data Wrangling
 Data Analysis
3. Programming with R by Pluralsight
A thorough understanding of R programming is essential for data analysis. In this R Programming course online, you will learn how to manipulate various objects.
First, you will learn the fundamental syntax of R coding with these best R courses online.
Following that, you will investigate the data types and data structures available in R.
Finally, you will learn to write your functions using control flow statements.
Rating  4 based out of 53 ratings 
Duration  2 hours 2 minutes course 
Level  Beginner level course 
Certificate Provided  No 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded lessons 
Course Type  Paid 
Course Provider  Mihaela Danci 
Topics Covered
 Why R?
 Integrated Development Environment
 Variables and operators
 Data types
 Code style
 Organizing your code
 Exploring vectors and factors
 Data structures
 Creating vectors
 Manipulating vectors
 Sets
 Using matrices, arrays, and lists
 Working with Data Frames
 Discovering data frames
 Creating data frames
 Manipulating data frames
 Working with tidyverse
 Managing control statements
 Conditional statements
 Switch statement
 Loops
 Building function
 Discovering functions
 Function components
Learning Outcomes
This R programming training online will teach you how to use the R programming language along with the following topics:
 What is R, and why should you use it?
 R data types, R variables and operators
 Investigating vectors and factors in R
 R data frames contain matrices, arrays, and lists.
 Control statements
 Creating your first R function
Prerequisites
None
Is it the right R programming course online for you?
This course is excellent for anyone with interest in data analysis. This R course is ideal if you want to learn the fundamental syntax of R programming as well.
4. Data Science with R Certification Course by Simplilearn
This data science with R course prepares you to apply your Data Science skills in a variety of settings, assisting companies in analyzing data and making more informed business decisions.
These best R courses online incorporate cuttingedge curriculum and dedicated mentoring sessions to help you develop jobready skills.
Rating  4.3 based out of 9457 ratings 
Duration  64 hours course 
Level  Beginner level course 
Certificate Provided  Yes 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded lessons 
Refund  7days money back guarantee 
Course Type  Paid 
Course Provider  Simplilearn 
Topics Covered
 Introduction to business analytics
 Introduction to R Programming
 Data structures
 Data Visualization
 Statistics for data science
 Regression analysis
 Classification
 Clustering
 Association
Learning Outcomes
 Business analytics
 R programming and its packages
 Data structures and data visualization
 Apply functions and DPLYR function
 Graphics in R for data visualization
 Hypothesis testing
 Apriori algorithm
 kmeans and DBSCAN clustering
Prerequisites
None
Is it the right R programming training online for you?
This Data Science with R certification training is beneficial for all ambitious young data scientists, including IT professionals or software developers.
5. Introduction to R by DataCamp
In ‘Introduction to R’ is one of the best R courses online that will help you master the basics of this widely used opensource language, including factors, lists, and data frames.
With the knowledge gained in this R Programming course online, you will be ready to undertake your first very own data analysis.
Rating  4.3 based out of 9457 ratings 
Duration  4 hours course 
Level  Beginner level R programming certification online course 
Certificate Provided  No 
Course Material Provided  Yes 
Live Classes/Recorded Lessons  Recorded lessons 
Course Type  Free 
Course Provider  DataCamp 
Topics Covered
 Intro to basics
 Vectors
 Matrices
 Factors
 Data Frames
 Lists
6. Learn R with Codecademy
The best R courses online on Codecademy will introduce you to essential programming ideas in R. After you’ve mastered the fundamentals, you’ll learn how to organize, edit, and clean data frames, a valuable data structure in R.
Then you’ll learn how to construct data visualizations to highlight data insights! Finally, to become a data analysis specialist, finish with statistics and hypothesis testing.
7. Introduction to R by Great Learning
Want a free R programming certification online? Great Learning Academy offers one of the most excellent R programming courses, which will lead you through the basics of R programming, such as data types, data structures, control statements, and so on, as well as handson practice for each.
This is a free R programming course online that also bags you a certificate. Here you will learn about R packages, functions, operators, matrix, vectors and commands.
Related read: Difference Between Software Engineer and Software Developer
Conclusion
We at TangoLearn tried to list the best R programming course for beginners and experienced learners. Ss select the most suitable course for yourself and take your career to the next level.