Learn R Programming R programming language is a valuable tool for professionals in the fields of data science, analysis, and statistics, particularly those in academic environments. Its capabilities in handling complex analyses, such as machine learning and financial modeling, make it an essential asset for various data-related tasks. This comprehensive course serves as an introduction to R, covering the fundamentals of this open-source language. Topics include vectors, factors, lists, and data frames. Through this course, you will acquire practical coding skills that will enable you to embark on your own data analysis projects using R. The course begins with an overview of basic operations, such as using the console as a calculator and understanding fundamental data types in R. Once you have familiarized yourself with these concepts, you will progress to creating vectors and applying your newfound R skills to a dataset centered around betting in Las Vegas. Subsequently, you will delve into working with matrices in R, learning how to create and perform calculations with them. Additionally, you will explore how R utilizes factors to store categorical data. Finally, you will gain proficiency in working with R data frames and lists. Upon completion of our Introduction to R course, you will possess the necessary skills to utilize R for your own data analysis endeavors. These highly sought-after skills can significantly enhance your career prospects and serve as a foundation for further learning. This course is part of several tracks, including Data Analyst with R, Data Scientist with R, and R Programming, all of which can contribute to your knowledge development.