R Programming for Data Science.

by Roger D. Peng

Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.

173 pages, Kindle Edition

Published March 12, 2023

Reviews

[Rebecca Berus · Rating 5 out of 5]

R Programming for Data Science is a practical introduction to the fundamentals of R and an excellent starting point for anyone looking to develop essential data science skills.
The book clearly focuses on the core abilities needed to work effectively with data, from understanding the language and manipulating datasets to writing functions, debugging, and optimizing code.

I like that it emphasizes building a strong foundation rather than overwhelming readers with unnecessary complexity.
With data science continuing to expand across research, business, and other fields, this book provides a useful foundation for readers who want to develop their R programming skills and grow their data science toolkit.