Practical Statistics for Data Scientists: 50 Essential Concepts
Peter Bruce
Introduction to Machine Learning with Python: A Guide for Data Scientists
Andreas C. Müller
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists
Philipp K. Janert
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Peter Bruce
Introduction to Data Visualization & Storytelling: A Guide For The Data Scientist
Jose Berengueres
Think Like a Data Scientist: Tackle the data science process step-by-step
Brian Godsey
Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work
Harlan Harris
Data Scientists at Work
Sebastian Gutiérrez
Developing Analytic Talent: Becoming a Data Scientist
Vincent Granville
The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists
Carl Shan
Truth or Truthiness: Distinguishing Fact from Fiction by Learning to Think Like a Data Scientist
Howard Wainer
Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Tree
Steven Cooper
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
Renee M Teate
Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
Giorgia Lupi
Effective Data Science Infrastructure: How to make data scientists productive
Ville Tuulos
Software Engineering for Data Scientists: From Notebooks to Scalable Systems
Catherine Nelson
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Alice Zheng
Data Scientist: The Definitive Guide to Becoming a Data Scientist
Zacharias Voulgaris
The Accidental Data Scientist: Big Data Applications and Opportunities for Librarians and Information Professionals
Amy Affelt
Data Architecture: A Primer for the Data Scientist: Big Data, Data Warehouse and Data Vault
William H Inmon