Data Science


Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Storytelling with Data: A Data Visualization Guide for Business Professionals
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Python for Data Analysis
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Data Science from Scratch: First Principles with Python
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Naked Statistics: Stripping the Dread from the Data
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Python Data Science Handbook: Essential Tools for Working with Data
The Art of Statistics: How to Learn from Data
Practical Statistics for Data Scientists: 50 Essential Concepts
Should an organization find a data scientist to point out its shortcomings, follow them as you would a guide to hidden riches.
Damian Mingle

Hendrith Vanlon Smith Jr.
Data is a form of capital. And as is the case with all capital - it has to be efficient utilized.
Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

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