When searching for free R tutorials and courses, you will find a plethora of options, but the majority of them are neither complete nor up to date. There are very few free high-quality courses and tutorials available.
This article contains a list of free R programming courses. I put together this list to help you learn Data Science and Machine Learning with R. Nonetheless, this list is equally useful for people learning R programming for statistics and graphics, which is another strength of this fantastic programming language. Anyway, without further ado, here is my list of some of the best free online R programming language courses.
1. Johns Hopkins University’s R Programming
This is one of the best and most excellent Coursera courses for getting a general overview of the R programming language, and I strongly recommend you go through it before beginning any other class.
This, like many Coursera courses, 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 learn both the historical background of R and where it stands today.
This course will introduce you to the R programming language, including terminology, features, syntax, and other information.
Here is the link to join this course for FREE — https://www.statisticshomeworktutors.com/
By the way, if you find Coursera courses useful, which they are because they are created by reputable companies such as Google, IBM, Amazon, and the world’s best universities, I recommend you join Coursera Plus, an annual subscription plan from Coursera.
2. R Fundamentals — Introduction to the R Programming Language
This is another free R programming course from Udemy that is ideal for learning R from the ground up.
The course has over 4 hours of content and 2 articles. Its step-by-step approach is ideal for beginners, and Martin has done an excellent job of keeping this course hands-on and straightforward.
You will begin by installing the R and RStudio interface, add-on packages, and learning how to use the R exercise database and R help tools.
Here is the link to join this free R course — https://www.statisticshomeworktutors.com/
Following that, you will learn various methods for importing data, as well as basic coding steps such as R functions, loops, and other graphical tools, which is R’s strength.
The entire course should take about 3 to 5 hours to complete, and there are exercises available for you to practise whatever you’ve learned in R. You will also have access to the Martin Code (which the instructor uses for the demos).
In short, it is one of the best free R programming courses in 2022.
3. Use R to Learn Data Science
This R programming course will introduce you to Data Science using R. It contains over 8.5 hours of content and covers the majority of R concepts relevant to data scientists.
You will learn the fundamentals of data science, such as what data science is, data types, vectors, factors, lists, matrices, data frames, and reading data from files and Oracle using RJDBC, RODBC, and ROracle.
Ram Reddy, the instructor, is a data scientist and the founder of RRITEC, a company dedicated to assisting scientists in better understanding and visualising their data.
Here is the link to join this free R course — https://www.statisticshomeworktutors.com/
4. Learn R For Business Analytics From The Ground Up
R is growing on the Business Analytics platform alongside 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 is putting giants like SAS, SPSS, and other former business analytics packages to shame. If you want to learn Business Analytics while also leveraging R’s capabilities, this is the course for you. As the instructor states, this course is intended for people who understand the fundamentals of business analytics and want to learn how to apply those skills on the R platform.
This course will teach you how to download and install R programming packages, as well as IDEs such as RStudio. You will also learn how to use R in Business Analytics.
You will also learn how to import data into 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 analyse model results.
5. Simple Linear Regression, R, And Ggplot
This is an older but still popular free R programming course on Udemy that will teach you Data Science with R.
This course will teach you how to get started with R programming and use the excellent R graphics package, ggplot2. Along the way, you will learn Data Science concepts such as the fundamentals of simple linear regression.
There are no prerequisites for this course, so anyone interested in R, ggplot, or data science can enrol. The course begins with R and RStudio installation and then explains R and ggplot skills as they are required as you progress toward an understanding of linear regression.
Here is the link to join this free course — https://www.statisticshomeworktutors.com/
That concludes a list of some of the best free courses for learning the R programming language, particularly for Data Science and Machine Learning. While many programmers are learning R for these two reasons, R has other advantages, particularly in statistics. If your job requires a lot of statistics and graphing, R could be a useful tool in your toolbox.
