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

An Introduction to R and Python for Data Analysis teaches students to code in both R and Python simultaneously, helping them to become literate in both languages and develop skills that will be handy after their studies. The side-by-side formatting of the book helps introductory graduate students quickly grasp the basics of R and Python, with exercises providing them with the skills they will need upon the completion of their course. Teachers and lecturers will also find the book useful in their teaching, providing a singular work to help ensure their students are well-trained in both computer languages.

Format: Hardback
Length: 246 pages
Publication date: 28 June 2023
Publisher: Taylor & Francis Ltd

An Introduction to R and Python for Data Analysis is a comprehensive guide designed to empower students with the ability to code in both R and Python simultaneously. This approach offers several advantages, including enhanced efficiency, improved learning outcomes, and the ability to reinforce shared concepts and differences between the two languages. By learning R and Python together, students can develop a strong foundation in programming and data analysis, which will be valuable in their future academic and professional endeavors.

The book assumes no prior experience with computing and is intended for students from various backgrounds. The side-by-side formatting of the text allows introductory graduate students to quickly grasp the basics of R and Python, with the exercises providing them with the opportunity to teach themselves the skills they will need upon the completion of their course. Employers now demand competency in both R and Python, making this tandem learning highly valuable for students.

Teachers and lecturers will also find this book useful in their teaching, as it provides a singular work that helps ensure their students are well-trained in both computer languages. The book offers a wealth of resources, including data for exercises and access to the solutions manual via the book's website.

Key features of An Introduction to R and Python for Data Analysis include:

Side-by-side Teaching: The book teaches R and Python in a side-by-side manner, allowing students to compare and contrast the two languages and learn from their similarities and differences.

Tailored Examples: The examples are tailored to aspiring data scientists and statisticians, rather than software engineers, ensuring that the content is relevant to their specific needs.

Designed for Introductory Graduate Students: The book is designed for introductory graduate students who have a basic understanding of mathematics but may not have extensive programming experience.

No Mathematical Background Required: The book does not assume any mathematical background, making it accessible to students from a wide range of academic backgrounds.

In conclusion, An Introduction to R and Python for Data Analysis is a valuable resource for students who want to develop their coding skills in both R and Python. By learning these languages simultaneously, students can enhance their efficiency, improve their learning outcomes, and gain a competitive advantage in the job market. Whether you are a student, teacher, or lecturer, this book will help you achieve your programming goals and become a proficient data analyst.

Weight: 696g
Dimension: 183 x 262 x 19 (mm)
ISBN-13: 9781032203256