Over the recent years, R has become the leading software tool for statistical computing and graphics. The software is greatly enhanced by numerous contributed packages submitted by users. The majority of computing in the leading applied statistical journals is done in R, and R is used almost exclusively in some of the leading-edge applications, such as in genetics and data mining. The purpose of this course is to set a foundation for full exploitation and creative use of the statistical language for computing and graphics R. The course introduces students to the syntax and inner workings of R, to become proficient in everyday computational tasks with datasets of all kinds, skilled in applications of elementary statistical methods, with emphasis on (initial) data exploration and simple graphics. Focus is also placed on opportunities to enhance the learning experience in other statistical courses by illustrating and applying basic statistical concepts in R.