R language has rich features for writing, calling, and utilizing functions. I have divided this lecture into four videos covering a wide range of functions fundamentals – from function components to writing infix functions.

In this lecture, I will show you how you can control the flow of the R program using choices and loops. Loops should be generally avoided in R since they can be slow. It is crucial to understand them because sometimes they can not be avoided.

In this lecture, I will explain to you how subsetting works, how you can replace (i.e., assign) parts of the object, remove parts, append objects, order, and filter. These operations are one of the most important ones in any analysis that you might perform later.

In this lecture, I will provide you with a must-needed knowledge of understanding the R objects with special attention to the vectors.

In this lecture, I will show you how to install R and R Studio. In addition to these, I will explain how to install packages both from CRAN and Github repositories.

In this lecture, I will go over a course outline, explain why you need to learn R, how to learn it, and where to find more information once this course is done.