Data Science

20 must-read books for budding data scientists

16th Jul `14, 01:34 PM in Data Science

So you want to be a data scientist? Consider our list of 20 must-read books for budding data…

Baiju-NT
Baiju NT Contributor
Follow

So you want to be a data scientist? Consider our list of 20 must-read 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

MORE FROM BIG DATA MADE SIMPLE