Are you looking for the Best Free R Programming Courses?… If yes, then this article is for you. In this article, you will find the 7 Best Free R Programming Courses. All the courses are free and you don’t need to pay for any course.
So without any further ado, let’s get started-
Best Free R Programming Courses
1. Data Analysis with R– Udacity
Time to Complete- 2 Months
This is an intermediate-level free course to learn data analysis using R programming. This course begins with the introduction of exploratory data analysis (EDA). Then you will learn R basics by installing RStudio and packages.
After that, you will perform EDA to understand a variable’s distribution and check for anomalies and outliers. You will also learn how to quantify and visualize individual variables within a data set to make sense of a pseudo-data set of Facebook users.
In this course, you will work on the Diamonds and Price Predictions project. In this project, you will investigate the diamond data set and see how predictive modeling can allow us to determine a good price for a diamond.
You Should Enroll if-
- You have prior knowledge of statistics.
Interested to Enroll?
If yes, then start learning-Data Analysis with R
2. Data Analysis and Visualization– Udacity
Time to Complete- 16 Weeks
This is another free course for learning data analysis and visualization. R programming language is used in this course.
In this course, you will understand the different techniques and theories behind data analysis and visualization. You will also learn how to write programs and scripts that analyze and visualize the data.
In this course, you will also learn how to model data using logistics regression and linear regression. At the last of this course, you will learn how to handle high-dimensional data effectively using regularization.
You Should Enroll if-
- You have prior programming experience and are familiar with mathematics (basic linear algebra, calculus, introductory probability).
Interested to Enroll?
If yes, then start learning- Data Analysis and Visualization.
3. R Programming– Coursera
Rating- 4.5/5
Provider- Johns Hopkins University
This is a Free to Audit course on Coursera. That means you can access the course material free of cost but for the certificate, you have to pay.
This course will cover all the basics of R Programming. If you want to learn R from scratch, then this course is for you. In this course, you will learn how to program in R and how to use R for effective data analysis.
This course will teach you programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code.
You Should Enroll if-
- You have a basic knowledge of regression and you want to learn only the Basics of R Programming.
Interested to Enroll?
If yes, then start learning- R Programming
4. Data Analysis with R Programming– Coursera
Rating- 4.8/5
Provider- Google
This is a Free to Audit course on Coursera. That means you can access the course material free of cost but for the certificate, you have to pay.
In this course, you’ll learn about the R programming language. You’ll find out how to use RStudio, the software applications, and tools that are unique to R, such as R packages.
You will also learn how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. And you will learn about R Markdown for documenting R programming.
You Should Enroll if-
- You have no prior experience with spreadsheets or data analytics.
Interested to Enroll?
If yes, then start learning- Data Analysis with R Programming
5. Introduction to R Programming for Data Science– Coursera
Rating- 4.4/5
Provider- IBM
This is another Free to Audit course on Coursera. That means you can access the course material free of cost but for the certificate, you have to pay.
This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks.
This course will help you to write a simple program using RStudio, manipulate data in a data frame or matrix, and complete a final project as a data analyst using Watson Studio and Jupyter notebooks to acquire and analyze data-driven insights.
You Should Enroll if-
- You have no prior knowledge of R.
Interested to Enroll?
If yes, then start learning- Introduction to R Programming for Data Science
6. R Basics — R Programming Language Introduction– Udemy
Rating- 4.6/5
Time to Complete- 4hr 6min
This Free Udemy course will start with installation, the R and RStudio interface, add-on packages, how to use the R exercise database, and the R help tools.
Then you will learn various ways to import data, first coding steps include basic R functions, functions, and loops and you will also take a look at the graphical tools.
You Should Enroll if-
- You have a basic understanding of statistics and data structure.
Interested to Enroll?
If yes, then start learning- R Basics — R Programming Language Introduction
7. R, ggplot, and Simple Linear Regression– Udemy
Rating- 4.6/5
Time to Complete- 2hr 14min
This free course will help you to learn R, and the excellent graphics package for R, ggplot2. Along with that, you will also learn the basics of simple linear regression.
You Should Enroll if-
- You are a beginner and interested in learning R, ggplot2, and the basics of linear regression.
Interested to Enroll?
If yes, then start learning- R, ggplot, and Simple Linear Regression
That’s all!
These are the 7 Best Free R Programming Courses. Now, it’s time to wrap up.
Conclusion
I hope these 7 Best Free R Programming Courses will help you to learn R Programming. I aim to provide you with the best resources for Learning. If you have any doubts or questions, feel free to ask me in the comment section.
All the Best!
Happy Learning!
NOTE- Some of the links in the post are Affiliate Links. This means if you click on the link and purchase the course, I will receive an affiliate commission at no extra cost to you😊.
