This book is designed to serve as a Preliminary textbook for the students of engineering and statistics. It covers the syllabus of all major National and international universities and will help every student, teacher, and researcher to understand the basics of R programming. The learning pedagogy used in this book will be helpful to students to gain comprehensive knowledge as well as the underlying fundamentals of R programming. This book aims to imbibe confidence in learner so that he/she can develop programs in R on their own for various real-world problems. The book offers detailed discussions on several important programming principles: data frames, vectors, matrices, functions, strings, math and simulation, probability distribution, ANOVA, t-test, br>f-test, file handling, accessing remote files from URL and many more. An exclusive section on machine learning has also been included.