More and more people are learning the R programming language to become Data scientists, one of the hottest and high-paying technical jobs on the planet. Though I am from Python camp when it comes to choosing between Python and R for Data Science, Machine Learning, and Artificial Intelligence, mainly because of the excellent libraries Python offers, I had tried R for a short time. If you are also in the same boat and want to try or learn R programming for Data Science and machine learning purposes and looking for some excellent free courses to start your journey, then you can take some ideas from this article.
In the past, I have shared some machine learning courses on Python, and today, I am going to share some of the free courses to learn R programming language as well as Data Science and deep learning using R.
Btw, for those, who are not familiar with R, it's a programming language and a free software environment popular among statisticians and data miners for developing statistical software.
R burst into the scene with its robust support for stats (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques. Still, in recent years, it has gained a lot of popularity among Data scientists and Data minors.
Along with Python, the R is the second most popular language to learn the new world of Data Science, Machine Learning, Deep Learning, and Artificial intelligence.
This article is a collection of such free R programming courses. I compiled this list for learning Data Science and Machine learning with R, but this list is equally useful for people learning R programming for statistics and graphics.
Anyway, without any further ado, here is my list of some of the best, free online courses to learn the R programming language.
It won't take much time to finish, and you will learn both the historical background of R as well as where does it stand now. This course will make you familiar with the R programming language, its terminology, features, syntax, and other stuff.
In the past, I have shared some machine learning courses on Python, and today, I am going to share some of the free courses to learn R programming language as well as Data Science and deep learning using R.
Btw, for those, who are not familiar with R, it's a programming language and a free software environment popular among statisticians and data miners for developing statistical software.
R burst into the scene with its robust support for stats (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques. Still, in recent years, it has gained a lot of popularity among Data scientists and Data minors.
Along with Python, the R is the second most popular language to learn the new world of Data Science, Machine Learning, Deep Learning, and Artificial intelligence.
6 Free Courses to learn R Programming in 2024
When you look for free R tutorials and courses, you will find a lot of classes, but most of them are neither complete nor up-to-date. There are very few excellent quality courses and tutorials that are freely available.This article is a collection of such free R programming courses. I compiled this list for learning Data Science and Machine learning with R, but this list is equally useful for people learning R programming for statistics and graphics.
Anyway, without any further ado, here is my list of some of the best, free online courses to learn the R programming language.
1. R and RStudio for Beginners - A Quick Introduction
This is a very short yet excellent course to get a general overview of the R programming language, and I strongly suggest you go through this course before starting with any other class.It won't take much time to finish, and you will learn both the historical background of R as well as where does it stand now. This course will make you familiar with the R programming language, its terminology, features, syntax, and other stuff.
Though the course is excellent in terms of understanding the fundamentals of both R and Data Science, it lacks some real-world examples and business scenarios, which you can find on Kirill Eremenko on R Programming A-Z™: R For Data Science With Real Exercises! course.
If you can spend a couple of dollars, then that is the best resource to learn Data Science with R. You can grab this course for just $9.9, which is entirely worth the money.
2. R Basics - R Programming Language Introduction [Udemy Free Course]
This is another free R programming course from Udemy and is perfect for learning R programming from scratch. The course contains more than 4 hours of content and 2 articles.Its step-by-step approach is excellent for beginners, and Martin has done a fantastic job of keeping this course hands-on and straightforward.
You will start by setting up your own development environment by installing the R and RStudio interface, add-on packages, and learning how to use the R exercise database and the R help tools.
After that, you will learn various ways to import data, first coding steps including essential R functions, loops, and other graphical tools, which is the strength of R
The whole course should take approx. 3 to 5 hours to finish, and there are exercises available for you to try out whatever you have to learn in R. You will also get access to the Martin Code (The instructor) is using for the demos.
In short, one of the best free courses to learn R programming this year.
You will learn the basics of Data Science like what is Data Science, data types, Vectors, Factors, List, Matrices, Data Frames, and Reading Data from files, Oracle Data using RJDBC, RODBC, and ROracle.
Instructor Ram Reddy is a Data scientist himself and founder of RRITEC, a company dedicated to helping scientists better understand and visualize their data.
It is giving stiff competition to giants like SAS, SPSS, and other erstwhile business analytics packages.
If you are someone who wants to learn Business Analytics and want to leverage R's capability, then this is the perfect course for you.
As the instructor says, this course is designed specifically for someone who knows the basics of Business Analytics and wants to learn the implementation of those skills on the R platform.
The whole course should take approx. 3 to 5 hours to finish, and there are exercises available for you to try out whatever you have to learn in R. You will also get access to the Martin Code (The instructor) is using for the demos.
In short, one of the best free courses to learn R programming this year.
3. Learn Data Science With R [Free Course]
This is the R programming course, which will introduce Data Science with R. It has over 8.5 hours of material and touches most of the R concepts, which are useful for Data scientists.You will learn the basics of Data Science like what is Data Science, data types, Vectors, Factors, List, Matrices, Data Frames, and Reading Data from files, Oracle Data using RJDBC, RODBC, and ROracle.
Instructor Ram Reddy is a Data scientist himself and founder of RRITEC, a company dedicated to helping scientists better understand and visualize their data.
4. Learn R for Business Analytics from Basics [Udemy Free Course]
Apart from Statistics, Graphics, Data Science, and Machine Learning, R is also growing on the Business Analytics platform. R may become one of the most used Business Analytics tools in nature future.It is giving stiff competition to giants like SAS, SPSS, and other erstwhile business analytics packages.
If you are someone who wants to learn Business Analytics and want to leverage R's capability, then this is the perfect course for you.
As the instructor says, this course is designed specifically for someone who knows the basics of Business Analytics and wants to learn the implementation of those skills on the R platform.
In this course, you will learn how to download and install R programming packages, IDE like RStudio. You will also learn how R can be leveraged in Business Analytics.
The course is also a hands-on one, and you will learn how to import Data in R and perform exploration and transformation activities, perform bivariate analysis, and plot charts in R to understand data distribution, and run correlation and regression in R to analyze model results.
In this course, you will learn how to start with R programming and use the excellent graphics package for R, ggplot2. Along the way, you will also learn Data Science concepts like the basics of simple linear regression.
There are no prerequisites, so anyone interested in R, ggplot, or data science and join this course.
The course starts with the installation of R and RStudio and then explains R and ggplot skills as they are needed when you progress toward an understanding of linear regression.
This comprehensive course covers the basics of R, including vectors, factors, lists, and data frames. Designed for beginners, the course guides you through fundamental operations such as using the console as a calculator and understanding basic data types. As you progress, you'll delve into creating vectors and applying your skills to a dataset based on betting in Las Vegas.
The curriculum expands to cover matrices, factors for categorical data storage, and working with R data frames and lists. By the course's end, you'll have mastered the basics of R programming, equipped with coding skills ready for practical application in your own data analysis projects.
These sought-after skills not only empower you to progress in your career but also set the stage for further learning. This course is a stepping stone to other tracks, including Data Analyst with R, Data Scientist with R, and R Programming, offering a seamless progression for developing your knowledge and expertise in data analysis using R.
Accessible for free with the option to create an account, this course is loved by learners at thousands of companies and is backed by a substantial community of practitioners who have successfully navigated the world of R programming. Though, if you like Datacamp platform, I suggest you to get the standard plan as they are offering 50% discount.
The course is also a hands-on one, and you will learn how to import Data in R and perform exploration and transformation activities, perform bivariate analysis, and plot charts in R to understand data distribution, and run correlation and regression in R to analyze model results.
5. R, ggplot, and Simple Linear Regression [Free]
This is rather old but one of the most popular free R programming courses on Udemy, which will teach you Data Science with R.In this course, you will learn how to start with R programming and use the excellent graphics package for R, ggplot2. Along the way, you will also learn Data Science concepts like the basics of simple linear regression.
There are no prerequisites, so anyone interested in R, ggplot, or data science and join this course.
The course starts with the installation of R and RStudio and then explains R and ggplot skills as they are needed when you progress toward an understanding of linear regression.
6. Introduction to R (FREE) on Datacamp
This is another beginner-friendly free course to learn R programming online. This course have a 4.7 rating from 510 reviews and an impressive learner base of 2,631,582. Recognized as a valuable tool for data scientists, analysts, and statisticians, especially in academic settings, the R programming language is known for its ability to handle complex analyses, including machine learning and financial modeling.This comprehensive course covers the basics of R, including vectors, factors, lists, and data frames. Designed for beginners, the course guides you through fundamental operations such as using the console as a calculator and understanding basic data types. As you progress, you'll delve into creating vectors and applying your skills to a dataset based on betting in Las Vegas.
The curriculum expands to cover matrices, factors for categorical data storage, and working with R data frames and lists. By the course's end, you'll have mastered the basics of R programming, equipped with coding skills ready for practical application in your own data analysis projects.
These sought-after skills not only empower you to progress in your career but also set the stage for further learning. This course is a stepping stone to other tracks, including Data Analyst with R, Data Scientist with R, and R Programming, offering a seamless progression for developing your knowledge and expertise in data analysis using R.
Accessible for free with the option to create an account, this course is loved by learners at thousands of companies and is backed by a substantial community of practitioners who have successfully navigated the world of R programming. Though, if you like Datacamp platform, I suggest you to get the standard plan as they are offering 50% discount.
That's all about some of the best free courses to learn R Programming language, particularly for Data Science and Machine learning. Many programmers are indeed learning R for just those two reasons, R has other advantages as well, particularly in statistics. If your job involves a lot of statistics and graph work, R could be a useful tool in your arsenal.
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Thanks for reading this article so far. If you like these best free R programming courses, then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. - If you don't mind paying a few bucks for learning a skill as valuable as R for Data Science then you can also check this R Programming A-Z™: R For Data Science With Real Exercises! course on Udemy. It's one of the best courses to learn R for Data Science with some really cool examples and exercises.
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