An Introduction to R and Python for Data Analysis: A Side-By-Side Approach

An Introduction to R and Python for Data Analysis: A Side-By-Side Approach
Author: Taylor R. Brown (Author)
Publisher finelybook 出版社:‏ Chapman and Hall/CRC
Edition 版本:‏ 1st
Publication Date 出版日期:‏ 2023-06-28
Language 语言: English
Print Length 页数: 246 pages
ISBN-10: 1032203250
ISBN-13: 9781032203256

Book Description

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here: https://github.com/tbrown122387/r_and_python_book/tree/master/data. Instructors can access the solutions manual via the book’s website.

Key features:

– Teaches R and Python in a “side-by-side” way.

– Examples are tailored to aspiring data scientists and statisticians, not software engineers.

– Designed for introductory graduate students.

– Does not assume any mathematical background.