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 (18 books)

An Introduction to Data Science

Post date: 28 Jun 2016
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science.
 
An Introduction to Data Science

An Introduction to Data Science

Post date: 28 Jun 2016
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science.

Applied Data Science

Post date: 29 Jun 2016
Lecture notes for Applied Data Science course at Columbia University. It focuses more on the statistics edge, while also teaching readers some basic programming skill.
Publication date: 31 Dec 2012
 
Applied Data Science

Applied Data Science

Post date: 29 Jun 2016
Lecture notes for Applied Data Science course at Columbia University. It focuses more on the statistics edge, while also teaching readers some basic programming skill.
Publication date: 31 Dec 2012


Big Data Now: 2015 Edition

Post date: 03 Oct 2016
Recaps the trends, tools, applications, and forecasts of big data. Includes data-driven cultures, data science, data pipelines, big data architecture and infrastructure, the Internet of Things and real time, applications of big data, security, and ethics.
Publisher: O’Reilly Media, Inc.
Publication date: 31 Jan 2016
Document Type: Book
 
Big Data Now: 2015 Edition

Big Data Now: 2015 Edition

Post date: 03 Oct 2016
Recaps the trends, tools, applications, and forecasts of big data. Includes data-driven cultures, data science, data pipelines, big data architecture and infrastructure, the Internet of Things and real time, applications of big data, security, and ethics.
Publisher: O’Reilly Media, Inc.
Publication date: 31 Jan 2016
Document Type: Book


Building Data Science Teams

Post date: 09 Apr 2016
In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.
Publisher: O’Reilly Media, Inc.
Publication date: 01 Sep 2011
 
Building Data Science Teams

Building Data Science Teams

Post date: 09 Apr 2016
In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.
Publisher: O’Reilly Media, Inc.
Publication date: 01 Sep 2011


D3 Tips and Tricks v3.x: Interactive Data Visualization in a Web Browser

Post date: 11 Dec 2016
Over 600 pages of tips and tricks for using d3.js, one of the leading data visualization tools for the web. It's aimed at getting you started and moving you forward. Includes over 50 downloadable code examples.
Publisher: Lulu.com
Publication date: 15 Aug 2016
Document Type: Book
 
D3 Tips and Tricks v3.x: Interactive Data Visualization in a Web Browser

D3 Tips and Tricks v3.x: Interactive Data Visualization in a Web Browser

Post date: 11 Dec 2016
Over 600 pages of tips and tricks for using d3.js, one of the leading data visualization tools for the web. It's aimed at getting you started and moving you forward. Includes over 50 downloadable code examples.
Publisher: Lulu.com
Publication date: 15 Aug 2016
Document Type: Book


Data Science with Microsoft SQL Server 2016

Post date: 25 Oct 2016
This book covers the combined environments of RDBMS and the R language inside Microsoft SQL Server 2016. Readers can learn to use this new capability, and practical, hands-on examples of using SQL Server R Services to create real-world solutions.
Publisher: Microsoft Press Books
Publication date: 01 Oct 2016
License: Open Access
Document Type: Book
 
Data Science with Microsoft SQL Server 2016

Data Science with Microsoft SQL Server 2016

Post date: 25 Oct 2016
This book covers the combined environments of RDBMS and the R language inside Microsoft SQL Server 2016. Readers can learn to use this new capability, and practical, hands-on examples of using SQL Server R Services to create real-world solutions.
Publisher: Microsoft Press Books
Publication date: 01 Oct 2016
License: Open Access Document Type: Book


Disruptive Possibilities: How Big Data Changes Everything

Post date: 03 Oct 2016
Provides an historically-informed overview of big data through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds.
Publisher: O’Reilly Media, Inc.
Publication date: 08 Jul 2013
Document Type: Book
 
Disruptive Possibilities: How Big Data Changes Everything

Disruptive Possibilities: How Big Data Changes Everything

Post date: 03 Oct 2016
Provides an historically-informed overview of big data through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds.
Publisher: O’Reilly Media, Inc.
Publication date: 08 Jul 2013
Document Type: Book


Exploratory Data Analysis with R

Post date: 13 Dec 2016
This book teaches you to use R to effectively visualize and explore complex datasets.
Publisher: Lulu.com
Publication date: 20 Jul 2016
Document Type: Book
 
Exploratory Data Analysis with R

Exploratory Data Analysis with R

Post date: 13 Dec 2016
This book teaches you to use R to effectively visualize and explore complex datasets.
Publisher: Lulu.com
Publication date: 20 Jul 2016
Document Type: Book


Exploring Data Science

Post date: 10 Nov 2016
Introduces readers to various areas in data science and explains which methodologies work best for each, with practical examples in R, Python, and other languages.
Publisher: Manning Publications
Publication date: 01 Jun 2016
License: Standard Copyright License
Document Type: Book
 
Exploring Data Science

Exploring Data Science

Post date: 10 Nov 2016
Introduces readers to various areas in data science and explains which methodologies work best for each, with practical examples in R, Python, and other languages.
Publisher: Manning Publications
Publication date: 01 Jun 2016
License: Standard Copyright License Document Type: Book


Foundations of Data Science

Post date: 29 Sep 2016
Provides the background needed for a modern theoretical course in computer science.
Publication date: 11 Apr 2014
Document Type: Textbook
 
Foundations of Data Science

Foundations of Data Science

Post date: 29 Sep 2016
Provides the background needed for a modern theoretical course in computer science.
Publication date: 11 Apr 2014
Document Type: Textbook


Practical Data Analysis - Transform, model, and visualize your data through hands-on projects, developed in open source tools

Post date: 03 May 2017
A hands-on guide to understanding the nature of your data and turn it into insight. Presents a detailed exploration of the current work in data analysis through self-contained projects.
Publisher: Packt Publishing
Publication date: 22 Oct 2013
Document Type: Book
 
Practical Data Analysis - Transform, model, and visualize your data through hands-on projects, developed in open source tools

Practical Data Analysis - Transform, model, and visualize your data through hands-on projects, developed in open source tools

Post date: 03 May 2017
A hands-on guide to understanding the nature of your data and turn it into insight. Presents a detailed exploration of the current work in data analysis through self-contained projects.
Publisher: Packt Publishing
Publication date: 22 Oct 2013
Document Type: Book


Python for Everybody: Exploring Data In Python 3

Post date: 07 Sep 2016
This book provides an Informatics-oriented introduction to programming. It focuses on using Python to solve data analysis problems common in the world of Informatics.
 
Python for Everybody: Exploring Data In Python 3

Python for Everybody: Exploring Data In Python 3

Post date: 07 Sep 2016
This book provides an Informatics-oriented introduction to programming. It focuses on using Python to solve data analysis problems common in the world of Informatics.

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


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