Chapman & Hall/CRC Data Science Series
About the Book Series
Reflecting the interdisciplinary nature of the field, this new book series brings together researchers, practitioners, and instructors from statistics, computer science, machine learning, and analytics. The series will publish cutting-edge research, industry applications, and textbooks in data science.
Features:
- Presents the latest research and applications in the field, including new statistical and computational techniques
- Covers a broad range of interdisciplinary topics
- Provides guidance on the use of software for data science, including R, Python, and Julia
- Includes both introductory and advanced material for students and professionals
- Presents concepts while assuming minimal theoretical background
The scope of the series is broad, including titles in machine learning, pattern recognition, predictive analytics, business analytics, visualization, programming, software, learning analytics, data collection and wrangling, interactive graphics, reproducible research, and more. The inclusion of examples, applications, and code implementation is essential.
Please Contact Us if you have an idea for a book for the series.
Soccer Analytics: An Introduction Using R
1st Edition
By Clive Beggs
March 11, 2024
Sports analytics is on the rise, with top soccer clubs, bookmakers, and broadcasters all employing statisticians and data scientists to gain an edge over their competitors. Many popular books have been written exploring the mathematics of soccer. However, few supply details on how soccer data can ...
Introduction to NFL Analytics with R
1st Edition
By Bradley J. Congelio
December 19, 2023
It has become difficult to ignore the analytics movement within the NFL. An increasing number of coaches openly integrate advanced numbers into their game plans, and commentators, throughout broadcasts, regularly use terms such as air yards, CPOE, and EPA on a casual basis. This rapid growth, ...
Spatial Statistics for Data Science: Theory and Practice with R
1st Edition
By Paula Moraga
December 08, 2023
Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. Spatial Statistics for Data Science: Theory and Practice with R describes statistical methods, modeling approaches, and visualization techniques...
Data Science for Sensory and Consumer Scientists
1st Edition
By Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis
September 29, 2023
Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sensory and consumer science through real-world applications. It covers key topics including data manipulation, preparation, visualization, and analysis...
Data Science in Practice
1st Edition
By Tom Alby
September 22, 2023
Data Science in Practice is the ideal introduction to data science. With or without math skills, here, you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant ...
Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data
1st Edition
By Ulrich Matter
September 04, 2023
Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data. Building on familiar content from applied ...
Telling Stories with Data: With Applications in R
1st Edition
By Rohan Alexander
July 27, 2023
The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, then using statistical models to analyse data, writing about the results of those models, drawing conclusions from them, and finally, using the cloud to put a ...
Practitioner’s Guide to Data Science
1st Edition
By Hui Lin, Ming Li
May 24, 2023
This book aims to increase the visibility of data science in real-world, which differs from what you learn from a typical textbook. Many aspects of day-to-day data science work are almost absent from conventional statistics, machine learning, and data science curriculum. Yet these activities ...
Data Science for Water Utilities: Data as a Source of Value
1st Edition
By Peter Prevos
May 10, 2023
This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. Data Science for ...
Hands-On Data Science for Librarians
1st Edition
By Sarah Lin, Dorris Scott
May 09, 2023
Librarians understand the need to store, use and analyze data related to their collection, patrons and institution, and there has been consistent interest over the last 10 years to improve data management, analysis, and visualization skills within the profession. However, librarians find it ...
Geographic Data Science with R: Visualizing and Analyzing Environmental Change
1st Edition
By Michael C. Wimberly
May 08, 2023
The burgeoning field of data science has provided a wealth of techniques for analysing large and complex geospatial datasets, including descriptive, explanatory, and predictive analytics. However, applying these methods is just one part of the overall process of geographic data science. Other ...
Real World AI Ethics for Data Scientists: Practical Case Studies
1st Edition
By Nachshon (Sean) Goltz, Tracey Dowdeswell
April 13, 2023
In the midst of the fourth industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists – the modern AI alchemists. But great power comes with greater responsibility. This book seeks to shape, in a practical, diverse, and inclusive way, the ethical ...