Data Science

An interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured.

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Books under this sub-category (21 books)

Python for Informatics: Exploring Information

Post date: 13 Jan 2011
A remix of Allen B. Downey's Think Python, the overall book structure has been changed to get to doing data analysis problems as quickly as possible and have a series of running examples and exercises about data analysis from the very beginning.
Publisher: CreateSpace Independent Publishing Platform
Publication date: 02 Sep 2013
License: Creative Commons Attribution-ShareAlike 3.0 Unported
Document Type: Book
 
Python for Informatics: Exploring Information

Python for Informatics: Exploring Information

Post date: 13 Jan 2011
A remix of Allen B. Downey's Think Python, the overall book structure has been changed to get to doing data analysis problems as quickly as possible and have a series of running examples and exercises about data analysis from the very beginning.
Publisher: CreateSpace Independent Publishing Platform
Publication date: 02 Sep 2013
License: Creative Commons Attribution-ShareAlike 3.0 Unported Document Type: Book


R for Data Science: Visualize, Model, Transform, Tidy, and Import Data

Post date: 16 Dec 2016
This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualize it and model it.
Publisher: O’Reilly Media, Inc.
Publication date: 25 Dec 2016
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States
Document Type: Book
 
R for Data Science: Visualize, Model, Transform, Tidy, and Import Data

R for Data Science: Visualize, Model, Transform, Tidy, and Import Data

Post date: 16 Dec 2016
This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualize it and model it.
Publisher: O’Reilly Media, Inc.
Publication date: 25 Dec 2016
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States Document Type: Book


R Programming for Data Science

Post date: 04 Aug 2016
Covers the fundamentals of R programming, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization.
Publisher: Leanpub
Publication date: 03 Aug 2016
Document Type: Book
 
R Programming for Data Science

R Programming for Data Science

Post date: 04 Aug 2016
Covers the fundamentals of R programming, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization.
Publisher: Leanpub
Publication date: 03 Aug 2016
Document Type: Book


Statistical inference for data science : A companion to the Coursera Statistical Inference Course

Post date: 24 Oct 2016
This book gives a brief, but rigorous, treatment of statistical inference intended for practicing Data Scientists.
Publisher: Leanpub
Publication date: 24 May 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Document Type: Book
 
Statistical inference for data science : A companion to the Coursera Statistical Inference Course

Statistical inference for data science : A companion to the Coursera Statistical Inference Course

Post date: 24 Oct 2016
This book gives a brief, but rigorous, treatment of statistical inference intended for practicing Data Scientists.
Publisher: Leanpub
Publication date: 24 May 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Document Type: Book


The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists

Post date: 13 Dec 2016
A compilation of in-depth interviews with 25 data scientists from a wide selection of backgrounds, disciplines, and industries, where they share their insights, stories, and advice.
Publisher: The Data Science Bookshelf
Publication date: 19 Jun 2015
Document Type: Book
 
The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists

The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists

Post date: 13 Dec 2016
A compilation of in-depth interviews with 25 data scientists from a wide selection of backgrounds, disciplines, and industries, where they share their insights, stories, and advice.
Publisher: The Data Science Bookshelf
Publication date: 19 Jun 2015
Document Type: Book


The Elements of Data Analytic Style

Post date: 13 Dec 2016
A guide for people who want to analyze data. This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks.
Publisher: Lulu.com
Publication date: 03 Mar 2015
Document Type: Book
 
The Elements of Data Analytic Style

The Elements of Data Analytic Style

Post date: 13 Dec 2016
A guide for people who want to analyze data. This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks.
Publisher: Lulu.com
Publication date: 03 Mar 2015
Document Type: Book


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