The 10 Best R Programming Courses in 2023

10 Best R Programming Courses in 2023

As the demand for data science and machine learning grows, so does the need for skilled professionals in the R programming language. For those interested in learning the latest and greatest R programming tools, here are the 10 best R programming courses available in 2023.

1. DataCamp’s Introduction to R

DataCamp offers an introduction to R course that is perfect for beginners who want to start out their journey with the language. The course is divided into four sections: basics, data wrangling, data visualization, and advanced topics like machine learning. By the end of the course, students will be confident in their ability to use the language.

2. Udemy’s R Programming A-Z™: R for Data Science

Udemy’s R Programming A-Z™: R for Data Science is one of the most comprehensive courses available on the language. Over 40 hours of material is covered, covering everything from basic data analysis to more advanced topics like text processing and machine learning. It also comes with exercise files and quizzes to help you retain what you’ve learned.

3. Coursera’s Introduction to R Programming

Coursera’s Introduction to R Programming offers a great breakdown of the language. It covers data objects, syntax, and functions as well as how to write code using R. It also dives into topics like data manipulation, interactive graphics, and even machine learning. Best of all, the course is self-paced, meaning you can take it at your own pace.

4. DataCamp’s Intermediate R

DataCamp’s Intermediate R course is meant for those looking for a deeper understanding of the language. Throughout the course, you’ll learn powerful techniques to manipulate data, build sophisticated models, and use the ggplot2 library. It also teaches topics like optimization and debugging, which are essential for those working in data science.

5. Coursera’s R Programming

Coursera’s R Programming course is perfect for anyone looking for a comprehensive overview of the language. Throughout the course, you’ll learn how to navigate R’s interactive environment, write functions, and generate graphs. It also includes topics such as debugging and managing packages, which are essential for success in the field.

6. edX’s Data Analysis Using R

If you’re looking for a course in R to help with data analysis, look no further than edX’s Data Analysis Using R. This course will help you hone your data wrangling skills and understand how to produce high-quality visuals using ggplot2. In addition, you’ll learn how to perform statistical tests on your collected data and interpret the results.

7. Udacity’s Machine Learning with R Nanodegree Program

Udacity’s Machine Learning with R Nanodegree Program is one of the best courses available for those looking to specialize in machine learning with R. Through this course, you’ll explore the fundamentals of R and then apply it to develop and deploy machine learning models. You’ll also get to work on real-world projects and gain a valuable certification for your portfolio.

8. Stanford’s Introduction to R Programming

Stanford’s Introduction to R Programming is one of the best introductory courses for R. It provides a thorough overview of the language, including its syntax, data structures, control flow, and functions. Students will also have a chance to practice their skills by completing programming exercises supplied in the course.

9. Udacity’s R Programming

Udacity’s R Programming course helps students learn the fundamentals of the language. It covers topics such as data cleaning, wrangling, and visualization in a user-friendly manner. It also includes topics like debugging, troubleshooting, and package management. To complete the course, students will build a dashboard to visualize data in R.

10. Harvard’s Data Science: R Basics

Harvard’s Data Science: R Basics is a great choice for those who want to understand the basics of data analysis using R. Through this course, students will learn the basics of data manipulation, wrangling, and visualization. They’ll also have a chance to practice their skills through interactive labs. This course is essential for anyone looking to get into data science.