Mathematical Foundations of Data Science Using R

The book aims to help students become data scientists by providing a comprehensive overview of the mathematical foundations of the programming language R and its applications to data science.

Format: Hardback
Length: 424 pages
Publication date: 24 October 2022
Publisher: De Gruyter

The primary objective of this book is to empower students to embark on a journey toward becoming accomplished data scientists. Given the extensive and rigorous curriculum involved in this pursuit, the book has been designed to provide comprehensive support and guidance to students throughout their academic journey, from the very fundamentals to a deep and advanced comprehension of the knowledge and skills that constitute a contemporary data scientist.

To achieve this, the book offers a comprehensive and detailed exploration of the mathematical underpinnings of the programming language R, emphasizing its applications in the field of data science. By delving into the core concepts and principles of R, students will gain a solid foundation in statistical analysis, data manipulation, and visualization, essential tools for extracting insights and making informed decisions based on data.

Furthermore, the book recognizes the importance of interdisciplinary collaboration in modern data science and provides insights into how R can be integrated with other programming languages and tools, such as Python, SQL, and machine learning frameworks. This integration enables students to develop a versatile skill set that is highly sought after in the industry.

Throughout the text, real-world examples and case studies are used to illustrate the practical applications of R in various domains, including healthcare, finance, and social sciences. These examples not only reinforce the theoretical concepts but also provide students with a hands-on experience that helps them apply their knowledge in real-world scenarios.

In addition, the book includes comprehensive reference materials, such as cheat sheets, exercises, and online resources, to further support students' learning journey. These resources are designed to assist students in reinforcing their understanding, practicing their skills, and staying up-to-date with the latest developments in the field.

By embracing the comprehensive approach offered by this book, students will be well-equipped to navigate the complex world of data science and emerge as skilled professionals capable of driving innovation and making meaningful contributions to their chosen field. Whether they are aspiring researchers, data analysts, or business professionals, this book will serve as a valuable guide and a catalyst for their success.

In conclusion, this book is a comprehensive and indispensable resource for students who aspire to become data scientists. Its focus on mathematical foundations, interdisciplinary collaboration, and real-world applications ensures that students acquire the knowledge and skills necessary to excel in this rapidly evolving field. With its engaging content, practical examples, and comprehensive reference materials, this book is the perfect companion for anyone who wants to embark on a journey of data science mastery.

Weight: 1149g
Dimension: 240 x 170 (mm)
ISBN-13: 9783110795882
Edition number: 2 Revised edition