Books
The best books on Data Science, Big Data, Data Mining, Machine Learning, Python, R, SQL, NoSQL and more.
Python Practice Book
This book is prepared from the training notes of Anand Chitipothu.
Learn Python the Hard Way
This is a free sample of Learn Python 2 The Hard Way with 8 exercises and Appendix A available for you to review.
School of Data Handbook
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.
The Data Analytics Handbook
A free handbook series released by Leada to help promote data analytics literacy.
Dive Into Python 3
This is a hands-on guide to Python 3 and its differences from Python 2. Each chapter starts with a real, complete code sample, picks it apart and explains the pieces, and then puts it all back together in a summary at the end.
Learning with Python 3
Introduction to computer science using the Python programming language. It covers the basics of computer programming in the first part while later chapters cover basic algorithms and data structures.
Hadoop Tutorial as a PDF
Intro to Hadoop - An open-source framework for storing and processing big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines.
Understanding the Chief Data Officer
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.
The Elements of Data Analytic Style
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.
