The editors at Solutions Review have compiled this list of the best R programming courses on Udemy to consider exploring.
R is a language and environment for statistical computing and graphics. R can be considered as a different implementation of S, and while there are some important differences, much of the code written for S runs unaltered on R. The language provides a variety of statistical and graphical techniques including linear and nonlinear modeling, classical statistical tests, time-series analysis, and classification and clustering. R capabilities are enhanced via user-created packages that allow for special statistical techniques, graphical devices and reporting.
With this in mind, we’ve compiled this list of the best R programming courses on Udemy if you’re looking to grow your skills for work or play. Udemy is one of the top online education platforms in the world with more than 130,000 courses, expert instruction, and lifetime access that allows you to learn on your own schedule. As you can see below, we broke the best R programming courses on Udemy down into categories based on the recommended proficiency level. Each section also features our inclusion criteria.
Description: This course is step-by-step and in every new tutorial the instructor builds on what students have already learned. The training is packed with real-life analytical challenges, some of which can be solved in a self-paced manner and other modules that enable collaboration. This course has been designed for all skill levels even if you have no background.
Description: This comprehensive course is comparable to other data science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture, this is one of the most comprehensive courses for data science and machine learning on Udemy.
Description: This course will help you prepare data for analysis in R, how to perform the median imputation method in R, and how to work with date-times in R. Students will also learn what lists are and how to use them, what the Apply family of functions is, and how to nest your own functions with apply-type functions. Basic R knowledge is recommended.
Description: R for Statistics and Data Science is the course that will take you from a complete beginner in programming with R to a professional who can complete data manipulation on demand. It gives you the complete skill set to tackle a new data science project with confidence and be able to critically assess your work and others’.
Description: The course is meant for absolute beginners, so you don’t have to know anything about R before starting. But after graduating this course you will have the most important R programming skills – and you will be able to further develop these skills, by practicing, starting from what you will have learned in the course.
