The Family Firm: A Data-Driven Guide to Better Decision Making in the Early School Years (The ParentData Series)
Emily Oster
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Foster Provost
Big Data: A Revolution That Will Transform How We Live, Work, and Think
Viktor Mayer-Schönberger
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Martin Kleppmann
Data Smart: Using Data Science to Transform Information into Insight
John W. Foreman
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Neha Narkhede
Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World
Bruce Schneier
Data Science from Scratch: First Principles with Python
Joel Grus
Football Hackers: The Science and Art of a Data Revolution
Christoph Biermann
Mindmasters: The Data-Driven Science of Predicting and Changing Human Behavior
Sandra Matz
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham
The Marriage You Want: Moving Beyond Stereotypes for a Relationship Built on Scripture, New Data, and Emotional Health
Sheila Wray Gregoire
The Model Thinker: What You Need to Know to Make Data Work for You
Scott E. Page
Doing Data Science: Straight Talk from the Frontline
Cathy O'Neil
Practical Statistics for Data Scientists: 50 Essential Concepts
Peter Bruce
Python Data Science Handbook: Essential Tools for Working with Data
Jake VanderPlas
Introduction to Machine Learning with Python: A Guide for Data Scientists
Andreas C. Müller
Numsense! Data Science for the Layman: No Math Added
Annalyn Ng
Street Data: A Next-Generation Model for Equity, Pedagogy, and School Transformation
Shane Safir
The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
Steve Wexler