20 must read books for budding data scientists

Data Science   |   
Published July 16, 2014   |   

A data scientist is a professional who connects the dots between the business world and the data world. Data science is the craft that a data scientist utilizes to make this happen. In other words, Data Science is a study which deals with identification, representation and extraction of meaningful information from data sources to be used for business purposes. So you want to be a data scientist? Consider our list of 20 must-read books for budding data scientists…

20 books for budding data scientists

1. Big Data A Revolution That Will Transform How We Live, Work, and Think
Authors: Viktor Mayer-Schonberger and Kenneth Cukier
Publisher:  Jenna Dutcher (2013)
2. Automate This: How Algorithms Came to Rule Our World
Author: Christopher Steiner
Publisher: Portfolio Hardcover
3. The Signal and the Noise: Why So Many Predictions Fail – But Some Don’t
Author: Nate Silver
Publisher: Penguin Group
4. Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
Author: Thomas H. Davenport
Publisher: Harvard Business Press
5. Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
Author: Eric Siegel
Publisher: John Wiley & Sons
6. Privacy in the Age of Big Data: Recognizing Threats, Defending Your Rights, and Protecting Your Family
Author: Theresa M. Payton and Ted Claypoole
Publisher: Rowman & Littlefield Publishers
7. Doing Data Science: Straight Talk from the Frontline
Author: Cathy O’Neil and Rachel Schutt
Publisher: O’Reilly Media
8. Data Science for Business
Author: Foster Provost, Tom Fawcett
Publisher: O’Reilly Media
9. R Cookbook
Author: Paul Teetor
Publisher: O’Reilly Media
10. Machine Learning for Hackers
Authors: Drew Conway & John Myles White
Publisher: O’Reilly
11. R Graphics Cookbook
Author: Winston Chang
Publisher: O’Reilly Media
12. Programming Collective Intelligence: Building Smart Web 2.0 Applications
Author: by Toby Segaran (popularly referred as PCI)
Publisher: O’Reilly Media
13. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Author: Wes McKinney
Publisher: O’Reilly Media
14. Agile Data Science: Building Data Analytics Applications with Hadoop
Author: Russell Jurney
Publisher: O’Reilly Media
15. The Visual Display of Quantitative Information
Author: Edward R. Tufte
Publisher: Graphics Press USA
16. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Author: Trevor Hastie, Robert Tibshirani, Jerome Friedman
Publisher: Springer
17. Beautiful Data: The Stories Behind Elegant Data Solutions
Author:  Toby Segaran ,Robert Romano
Publisher: O’Reilly Media
18. Data Mining: Practical Machine Learning Tools and Techniques
Author: Ian H. Witten, Eibe Frank
Publisher: Morgan Kaufmann
19. Visualize This
Author: Nathan Yau
Publisher: John Wiley & Sons
20. Natural Language Processing with Python
Author: Steve Bird
Publisher: O’Reilly Media