Name: An Introduction to r and Python for Data Analysis: A Side-By-Side Approach (en Inglés)
Price: 258140.00 COP
Availability: InStock
Author: Taylor R. Brown
ISBN: 9781032203256

portada An Introduction to r and Python for Data Analysis: A Side-By-Side Approach (en Inglés)

Formato

Libro Físico

Editorial

Crc Press 2023-06-28, Boca Raton,

Autor

Taylor R. Brown

Idioma

Inglés

N° páginas

246

Encuadernación

Tapa Dura

ISBN13

9781032203256

N° edición

An Introduction to r and Python for Data Analysis: A Side-By-Side Approach (en Inglés)

Taylor R. Brown (Autor) · Crc Press 2023-06-28, Boca Raton, · Tapa Dura

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Reseña del libro "An Introduction to r and Python for Data Analysis: A Side-By-Side Approach (en Inglés)"

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.