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.
Introduction to Data Science
2nd Edition
By Rafael A. Irizarry
November 30, 2026
Unlike the first edition, the new edition has been split into two books, which have been brought together in this set. Thoroughly revised and updated, the first book (Introduction to Data Science: Data Wrangling and Visualization with R) introduces skills that can help the reader tackle real-world ...
Introduction to Data Science: Statistics and Prediction Algorithms Through Case Studies
2nd Edition
By Rafael A. Irizarry
October 30, 2026
Introduction to Data Science: Statistics and Prediction Algorithms Through Case Studies teaches data science as a way of thinking statistically, not just as a collection of computational tools. Building on the topics covered in Introduction to Data Science: Data Wrangling and Visualization with R, ...
Advanced Basketball Data Science: With Applications in R
1st Edition
By Paola Zuccolotto, Marica Manisera, Marco Sandri
August 25, 2026
Advanced Basketball Data Science: With Applications in R is the essential next step for anyone looking to push basketball analytics beyond standard metrics. Expanding on the foundation of Basketball Data Science (2020), this book takes readers into the fast-evolving world of advanced statistical ...
Data Science in Healthcare: A Complete Guide
1st Edition
By Gayathri Delanerolle, Yassine Bouchareb, Konstantinos V. Katsikopoulos, Peter Phiri
July 27, 2026
This book brings together everything you need to know about data science within healthcare systems, with a primary focus on showing how to advance automated and non-automated analytical methods for extracting valuable insights from healthcare data. It draws upon a range of interconnected ...
Textual and Contextual Data Analysis: A Multivariate Statistical Approach using R
1st Edition
By Mónica Bécue-Bertaut, Ramón Alvarez-Esteban
July 22, 2026
Multidimensional statistical analysis of textual data is a powerful technique that enables researchers to uncover deeper insights into the context and meaning of documents. This book addresses the challenge of jointly analyzing textual and contextual data, presenting rigorous theoretical ...
DevOps for Data Science
1st Edition
By Alex Gold
July 20, 2026
Data Scientists are experts at analyzing, modelling and visualizing data but, at one point or another, have all encountered difficulties in collaborating with or delivering their work to the people and systems that matter. Born out of the agile software movement, DevOps is a set of practices, ...
What's the Question?: Deciding What You Really Want to Know
1st Edition
By David J. Hand
May 21, 2026
Statistics and data science aim to extract understanding from data and guide decision-making. However, before applying any analytical tools, we need absolute clarity about what we want to know or accomplish. Ambiguous objectives inevitably lead to mistaken conclusions and flawed actions. This book ...
Test-Driven Data Analysis
1st Edition
By Nicholas J. Radcliffe
May 18, 2026
Test-driven data analysis is the synthesis of ideas from test-driven development of software to data-intensive work including data science, data analysis, and data engineering. It is a methodology for improving the quality of data and of analytical pipelines and processes. It can be thought of as ...
Deep-Learning-Assisted Statistical Methods with Examples in R
1st Edition
By Tianyu Zhan
March 16, 2026
This book explores how deep learning enhances statistical methods for hypothesis testing, point estimation, optimization, interpretation, and other aspects. It uniquely demonstrates leveraging deep learning to improve traditional statistical approaches, showcasing their superior performance in ...
Predictive Modelling for Football Analytics
1st Edition
By Leonardo Egidi, Dimitris Karlis, Ioannis Ntzoufras
November 06, 2025
Predictive Modelling for Football Analytics discusses the most well-known models and the main computational tools for the football analytics domain. It further introduces the footBayes R package that accompanies the reader through all the examples proposed in the book. It aims to be both a ...
Models Demystified: A Practical Guide from Linear Regression to Deep Learning
1st Edition
By Michael Clark, Seth Berry
August 14, 2025
Unlock the Power of Data Science and Machine Learning In this comprehensive guide, we delve into the world of data science, machinelearning, and AI modeling, providing readers with a robust foundation and practical skills to tackle real-world problems. From basic modeling techniques to advanced ...
Natural Language Processing in the Real World: Text Processing, Analytics, and Classification
1st Edition
By Jyotika Singh
May 05, 2025
Natural Language Processing in the Real World is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions. Where traditional, academic-taught NLP is often accompanied by a data source or dataset to aid solution building, this book is ...