15 Best R Programming Course Online for Beginners Experts

1. R Programming Course Online by (edX)
2. Learning R by (LinkedIn Learning)
3. Programming with R by (Pluralsight)
4. Data Science with R Certification Course by (Simplilearn)
5. Introduction to R by (DataCamp)
6. Learn R with (Codecademy)
7. Introduction to R by (Great Learning)

15 Best R Courses Online for This Year

1. R Programming A-Z: R for Data Science With Real Exercises by Udemy

This is a true step-by-step 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 real-life examples.

This best R programming course online is jam-packed with real-world 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!

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.

Sign Up Here

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.

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.

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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.

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 Date-Times 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 A-Z course is most eligible for this course.
• This course is NOT intended for complete R beginners.

Sign Up Here

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.

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 data-driven 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.

Sign Up Here

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.

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

Sign Up Here

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 high-level 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.

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.

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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 hands-on 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 data-driven insights.

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.

Sign Up Here

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, Command-Line, and Git by the end of the best R courses online.

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.

Sign Up Here

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 world-class 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:

• Statistics and R
• Data Science: R Basics
• R Programming Fundamentals

Sign Up Here

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.

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

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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.

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.

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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 cutting-edge curriculum and dedicated mentoring sessions to help you develop job-ready skills.

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.

Sign Up Here

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 open-source 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.

Topics Covered

• Intro to basics
• Vectors
• Matrices
• Factors
• Data Frames
• Lists

Sign Up Here

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.

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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 hands-on 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.

Sign Up Here

 
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.

Best R Programming Courses is rated 4.7 and reviewed by 14 R Programming Experts & 30+ R Programming Classes Students