Game Data Science

Game data science is the practice of deriving insights from game data, revolutionizing the multibillion-dollar games industry. This book provides an introduction to methods and practices of computer science, analytics, and data science as applied to video games, with practical exercises and examples for industry professionals and academics.

Format: Hardback
Length: 416 pages
Publication date: 14 October 2021
Publisher: Oxford University Press

The field of game data science, which involves extracting valuable insights from game data, has undergone a transformative impact on the multibillion-dollar games industry. This innovative practice has revolutionized the way games are produced, designed, and developed, leading to improved efficiency, creativity, and overall success. Almost all game companies and academic institutions have embraced game data science in some form, with various tools and technologies enabling the collection of game data. However, until now, there has been a lack of comprehensive resources specifically tailored for academics and professionals in this rapidly evolving sector.

Enter "Games Data Science: An Introduction," a groundbreaking book that provides a comprehensive and authoritative guide to the methods and practices of computer science, analytics, and data science as applied to video games. This invaluable resource is designed to cater to the needs of academic students and professional learners who are eager to understand the role of data science in the game development and production cycle, as well as in the interdisciplinary field of games research.

Organized into chapters that seamlessly integrate laboratory and game data examples, this book offers a unique learning experience. It serves as a valuable tool for training and educating both industry professionals and academics about the practical applications of game data science. Through practical exercises and real-world examples, readers are guided through the process of implementing and utilizing game data science techniques, fostering a deep understanding of its theoretical foundations and practical implications.

What sets "Games Data Science: An Introduction" apart is its comprehensive coverage of the field. It delves into various topics, including game analytics, player behavior, game design, and artificial intelligence. Each chapter is carefully crafted to provide a clear and concise explanation of the relevant concepts, supported by extensive illustrations, diagrams, and case studies. This approach ensures that readers not only acquire theoretical knowledge but also develop practical skills that can be applied in real-world scenarios.

Whether you are a game developer, researcher, or simply someone with an interest in the gaming industry, "Games Data Science: An Introduction" is an essential resource. It offers a comprehensive roadmap to the world of game data science, equipping readers with the knowledge and tools they need to thrive in this rapidly evolving field. With its practical approach, engaging content, and extensive references, this book is a must-have for anyone seeking to advance their understanding of game data science and its potential to shape the future of the gaming industry.

In conclusion, game data science has emerged as a game-changer in the multibillion-dollar games industry, driving innovation, creativity, and success. "Games Data Science: An Introduction" is a groundbreaking resource that provides a comprehensive and authoritative guide to the methods and practices of computer science, analytics, and data science as applied to video games. By offering practical exercises, real-world examples, and a practical approach, this book empowers readers to understand the role of data science in game development, production, and research. Whether you are an academic student, professional learner, or industry professional, this book is an essential tool for advancing your knowledge and skills in the field of game data science.

Weight: 818g
Dimension: 425 x 300 x 26 (mm)
ISBN-13: 9780192897879