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
Naked Statistics: Stripping the Dread from the Data
Hands-On Machine Learning with Scikit-Learn and TensorFlow
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
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
The Art of Statistics: How to Learn from Data
Practical Statistics for Data Scientists: 50 Essential Concepts
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

Hendrith Vanlon Smith Jr.
Many modern businesses have become proficient at mining data. In fact the mining of data is becoming almost routine. But as we advance further into the 21rst century and the 22nd century, the utilization of data begins to take priority. So it's not just about collecting all this data, but also about getting really creative with generating new ways to utilize that data in the quest to add value. ...more
Hendrith Vanlon Smith Jr

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