R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
Valliappa Lakshmanan
Data Modeling Essentials, Third Edition
Graeme Simsion
Data Modeling Made Simple, 2nd Edition: A Practical Guide for Business and IT Professionals (Take It With You)
Steve Hoberman
Data, Models, and Decisions: The Fundamentals of Management Science
Dimitris Bertsimas
Machine Learning Mastery With Python: Understand Your Data, Create Accurate Models, and Work Projects End-to-End
Jason Brownlee
Mastering Data Modeling: From Concepts to Practical Implementation
Michael E. Kirshteyn
The Data Model Resource Book, Volume 1: A Library of Universal Data Models for All Enterprises
Len Silverston
Practical Data Modeling: A Step-by-Step Guide Across Industries. (Data Modeling Books Book 2)
Michael Kirshteyn
Programming Entity Framework: Code First: Creating and Configuring Data Models from Your Classes
Julia Lerman
Practical Data Modeling: A Step-by-Step Guide Across Industries. (Data Modeling Books)
Michael E. Kirshteyn
Data Model Patterns: Conventions of Thought
David C. Hay
Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series)
Yves Hilpisch
Modern Enterprise Architecture: A Practical Guide to Infrastructure Design, Automation, and Cloud Strategies (Data Modeling Books Book 5)
Michael Kirshteyn
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Paul Crickard
Introduction to Time Series Forecasting with Python: How to Prepare Data and Develop Models to Predict the Future
Jason Brownlee
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
Judith D. Singer
Microsoft Excel 2013 Building Data Models with PowerPivot (Business Skills)
Alberto Ferrari
Spatial Data Modeling: Mapping the World in Databases. (Data Modeling Books)
Michael E. Kirshteyn
The Data Model Resource Book: Volume 3: Universal Patterns for Data Modeling
Len Silverston