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)

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

[Sign-up required] 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


A Whirlwind Tour of Python

Post date: 29 Jul 2020
This free e-book is a fast-paced intro to Python aimed at researchers and engineers.
Publisher: O’Reilly Media, Inc.
Publication date: 01 Aug 2016
License: Creative Commons CC0 “No Rights Reserved”
Document Type: Book
 
A Whirlwind Tour of Python

A Whirlwind Tour of Python

Post date: 29 Jul 2020
This free e-book is a fast-paced intro to Python aimed at researchers and engineers.
Publisher: O’Reilly Media, Inc.
Publication date: 01 Aug 2016
License: Creative Commons CC0 “No Rights Reserved” Document Type: Book


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.
Publication date: 31 Dec 2012
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Document Type: Book
 
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.
Publication date: 31 Dec 2012
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Document Type: Book


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: 10 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: 10 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 at the Command Line

Post date: 11 Mar 2022
This guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data.
Publisher: O’Reilly Media, Inc.
Publication date: 07 Sep 2021
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Document Type: Book
 
Data Science at the Command Line

Data Science at the Command Line

Post date: 11 Mar 2022
This guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data.
Publisher: O’Reilly Media, Inc.
Publication date: 07 Sep 2021
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International 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


Python Data Science Handbook

Post date: 28 Jul 2020
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages. Familiarity with Python as a language is assumed.
Publisher: O’Reilly Media, Inc.
Publication date: 01 Nov 2016
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States
Document Type: Book
 
Python Data Science Handbook

Python Data Science Handbook

Post date: 28 Jul 2020
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages. Familiarity with Python as a language is assumed.
Publisher: O’Reilly Media, Inc.
Publication date: 01 Nov 2016
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States 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.

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