R is available under the terms of the Free Software Foundation’s GNU General Public License in source code form. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. This language provides a wide variety of statistical and graphical techniques and is highly extensible because of its open-source community, which is constantly supporting and adding features. There are some important differences between them, but much code written for S runs unaltered under R. R can be considered as a different implementation of S. It is an open GNU project similar to the S language. Now, coming back to the R programming language itself. R is a language and environment created for working with statistical computing and graphics. If you are interested in Data Science, Machine Learning, and Statistics then you may have come across the R programming language, one of the best for those jobs. You can use them to learn both basic and advanced concepts of R programming, tools like R Studio, and best practices. These courses have been created by experts and are highly recommended for both beginners and people using the R programming language without having in-depth knowledge. In the past, I have shared free courses to learn R and in this article, you will find the best R programming courses from Udemy, Coursera, and edX.ĭisclosure - Btw, some of these links are affiliate links and I may get paid if you join these courses using my links. If you want to learn R programming and looking for the best online training courses, classes, and tutorials then you have come to the right place. Image_credit - R Programming: Advanced Analytics In R For Data Science
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