Books

The best books on Data Science, Big Data, Data Mining, Machine Learning, Python, R, SQL, NoSQL and more.

Data Science in General
An introduction to data science
4.5 (4 Ratings)

An Introduction to Data Science

Jeffrey Stanton, Syracuse University
Contributions by Robert W. De Graaf

This book was developed for the Certificate of Data Science pro- gram at Syracuse University’s School of Information Studies.

Data Science in General
School of Data Handbook

School of Data Handbook

School of Data, 2015

The School of Data Handbook is a companion text to the School of Data. Its function is something like a traditional textbook – it will provide the detail and background theory to support the School of Data courses and challenges.

Data Science in General
Data Jujitsu: The Art of Turning Data into Product
3.8 (142 Ratings)

Data Jujitsu: The Art of Turning Data into Product

DJ Patil, 2012
DJ is the "Data Scientist in Residence" at Greylock Partners

Learn how to use a problem's "weight" against itself. Learn more about the problems before starting on the solutions—and use the findings to solve them, or determine whether the problems are worth solving at all.

Data Science in General
Art of Data Science
4.4 (5 Ratings)

The Art of Data Science

Roger D. Peng & Elizabeth Matsui, 2015

This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience...

Interviews with Data Scientists
The Data Science Handbook

The Data Science Handbook

by Carl Shan (Author),‎ William Chen (Author),‎ Henry Wang (Author),‎ Max Song (Author)
25 Data Scientists contributed

The Data Science Handbook is a compilation of in-depth interviews with 25 remarkable data scientists, where they share their insights, stories, and advice.

Interviews with Data Scientists
The Data Analytics Handbook

The Data Analytics Handbook

Brian Liou, Tristan Tao, & Declan Shener 2015
N/A

A free handbook series released by Leada to help promote data analytics literacy.

Forming Data Science Teams
Data Driven: Creating a Data Culture
3.7 (226 Ratings)

Data Driven: Creating a Data Culture

DJ Patil,‎ Hilary Mason
Hilary Mason is the lead scientist at bit.ly, DJ is the "Data Scientist in Residence" at Greylock Partners

In this O’Reilly report, DJ Patil and Hilary Mason outline the steps you need to take if your company is to be truly data-driven—including the questions you should ask and the methods you should adopt.

Forming Data Science Teams
Building Data Science Teams
3.7 (255 Ratings)

Building Data Science Teams

DJ Patil
DJ is the "Data Scientist in Residence" at Greylock Partners

In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.

Forming Data Science Teams
Understanding the Chief Data Officer

Understanding the Chief Data Officer

Julie Steele
Director of Communications at Silicon Valley Data Science

To manage today's flood of available data, a number of high-profile corporations have adopted a new position in addition to existing CTOs and CIOs: the Chief Data Officer, or CDO.

Data Analysis
The Elements of Data Analytic Style
3.7 (139 Ratings)

The Elements of Data Analytic Style

Jeff Leek
Associate Professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health

Data analysis is at least as much art as it is science. This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks.

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