A growing number of programmers are learning the R programming language in order to pursue a career as a Data Scientist, one of the most in-demand and well-paid technical positions in the world.
Despite being a Python fan, I had explored R for a short time when it came to choosing between Python and R for Data Science, Machine Learning, and Artificial Intelligence, primarily because of the fantastic libraries like TensorFlow Python offers.
If you’re in the same boat as me and want to attempt or learn R programming for Data Science and Machine Learning, and you’re seeking some great free courses to get you started, this post can help.
5 Free R Programming Courses
When searching for free R tutorials and courses, you will come across a plethora of options, but most of them are neither comprehensive nor up-to-date. There are only a few high-quality courses and tutorials offered for free.
This page compiles a list of such free R programming tutorials. This list was put together to help you learn Data Science and Machine Learning with R. This list, however, is equally valuable for people learning R programming for statistics and graphics, which is another strength of this fantastic programming language.
1. R Programming by Johns Hopkins University
This is one of the greatest and most amazing courses on Coursera for getting a general introduction to the R programming language, and I strongly advise you to take it before taking any other lesson.
This course, like many others on Coursera, is free to learn and explore, but you must pay if you want to receive a certificate. It won’t take long to complete, and you’ll discover both the historical background of R and where it stands currently.
This course will introduce you to the R programming language, including vocabulary, features, syntax, and other information.
2. R Basics — R Programming Language Introduction
This is another Udemy free R programming course that is ideal for learning R programming from the ground up.
There are over 4 hours of content and two articles in this course. Its step-by-step method is ideal for novices, and Martin has done an excellent job of keeping this course interactive and straightforward.
You’ll begin by installing the R and RStudio interfaces, as well as add-on packages, and learning how to use the R exercise database and R assistance tools.
Go to Course3. Learn Data Science With R
This is an R programming course that will teach you how to do data science with R. It spans over 8.5 hours of content and covers the majority of R ideas relevant to data scientists.
You will study the fundamentals of Data Science, such as what is Data Science, data types, Vectors, Factors, Lists, Matrices, Data Frames, and reading data from files using RJDBC, RODBC, and ROracle, as well as what is Data Science.
4. Learn R for Business Analytics from Basics
R is becoming more popular on the Business Analytics platform, in addition to Statistics, Graphics, Data Science, and Machine Learning. R has the potential to become one of the most widely used Business Analytics tools in the future.
It’s putting a lot of pressure on industry behemoths like SAS, SPSS, and other once-dominant business analytics software. This is the course for you if you want to understand Business Analytics while also making use of R’s capabilities.
This course is meant for someone who understands the fundamentals of business analytics and wants to learn how to use those skills on the R platform, according to the instructor.
5. R, ggplot, and Simple Linear Regression
This is an older but still popular free R programming course on Udemy that teaches you how to do Data Science with R.
This course will teach you how to use R programming and how to use ggplot2, an outstanding graphics application for R. You’ll also discover Data Science concepts like the fundamentals of simple linear regression along the way.
Anyone interested in R, ggplot, or data science can enroll in this course because there are no prerequisites.
Conclusion
Thanks, You’ve made it to the bottom of the page. Best of luck on your R programming adventure! It won’t be simple, but if you stick to this roadmap and guide, you’ll be one step closer to becoming the Data Scientist you’ve always wanted to be.
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