Data Science
An interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured.
All categoriesBooks 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](http://mail.freetechbooks.com/uploads/1493802708-9781783280995-PRACTICAL_DATA_ANALYSIS_rs.jpg)
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.
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.
Post date: 03 May 2017A 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.
Post date: 29 Jul 2020
This free e-book is a fast-paced intro to Python aimed at researchers and engineers.
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
Publication date: 01 Aug 2016
License: Creative Commons CC0 “No Rights Reserved”
Document Type: Book
Post date: 29 Jul 2020This 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
Publication date: 01 Aug 2016
License: Creative Commons CC0 “No Rights Reserved” Document Type: Book
An Introduction to Data Science
Post date: 28 Jun 2016This 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
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Document Type: Book
An Introduction to Data Science
Post date: 28 Jun 2016This 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
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Document Type: Book
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.
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
Post date: 29 Jun 2016Lecture 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
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.
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.
Post date: 03 Oct 2016Recaps 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.
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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.
In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.
Post date: 10 Apr 2016In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.
D3 Tips and Tricks v3.x: Interactive Data Visualization in a Web Browser
Post date: 11 Dec 2016Over 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.
D3 Tips and Tricks v3.x: Interactive Data Visualization in a Web Browser
Post date: 11 Dec 2016Over 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.
Data Science at the Command Line
Post date: 11 Mar 2022This 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
Publication date: 07 Sep 2021
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Document Type: Book
Data Science at the Command Line
Post date: 11 Mar 2022This 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
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 2016This 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
Publication date: 01 Oct 2016
License: Open Access
Document Type: Book
Data Science with Microsoft SQL Server 2016
Post date: 25 Oct 2016This 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
Publication date: 01 Oct 2016
License: Open Access Document Type: Book
Disruptive Possibilities: How Big Data Changes Everything
Post date: 03 Oct 2016Provides 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.
Disruptive Possibilities: How Big Data Changes Everything
Post date: 03 Oct 2016Provides 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.
Exploratory Data Analysis with R
Post date: 13 Dec 2016This book teaches you to use R to effectively visualize and explore complex datasets.
Exploratory Data Analysis with R
Post date: 13 Dec 2016This book teaches you to use R to effectively visualize and explore complex datasets.
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.
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
Publication date: 01 Jun 2016
License: Standard Copyright License
Document Type: Book
Post date: 10 Nov 2016Introduces 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
Publication date: 01 Jun 2016
License: Standard Copyright License Document Type: Book
Post date: 29 Sep 2016
Provides the background needed for a modern theoretical course in computer science.
Provides the background needed for a modern theoretical course in computer science.
Publication date: 11 Apr 2014
Document Type: Textbook
Document Type: Textbook
Post date: 29 Sep 2016Provides the background needed for a modern theoretical course in computer science.
Publication date: 11 Apr 2014
Document Type: Textbook
Document Type: Textbook
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.
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
Publication date: 01 Nov 2016
License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States
Document Type: Book
Post date: 28 Jul 2020The 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
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: 08 Sep 2016This book provides an Informatics-oriented introduction to programming. It focuses on using Python to solve data analysis problems common in the world of Informatics.
Publisher:
CreateSpace Independent Publishing Platform
Publication date: 09 Apr 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Document Type: Book
Publication date: 09 Apr 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Document Type: Book
Python for Everybody: Exploring Data In Python 3
Post date: 08 Sep 2016This book provides an Informatics-oriented introduction to programming. It focuses on using Python to solve data analysis problems common in the world of Informatics.
Publisher:
CreateSpace Independent Publishing Platform
Publication date: 09 Apr 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Document Type: Book
Publication date: 09 Apr 2016
License: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported Document Type: Book
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