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)
Python for Informatics: Exploring Information
Post date: 13 Jan 2011A 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
Publication date: 02 Sep 2013
License: Creative Commons Attribution-ShareAlike 3.0 Unported
Document Type: Book
Python for Informatics: Exploring Information
Post date: 13 Jan 2011A 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
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 2016This 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
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
Post date: 16 Dec 2016This 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
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 2016Covers the fundamentals of R programming, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization.
R Programming for Data Science
Post date: 04 Aug 2016Covers the fundamentals of R programming, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization.
Statistical inference for data science : A companion to the Coursera Statistical Inference Course
Post date: 24 Oct 2016This 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
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
Post date: 24 Oct 2016This 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
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 2016A 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.
The Data Science Handbook: Advice and Insights from 25 Amazing Data Scientists
Post date: 13 Dec 2016A 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.
The Elements of Data Analytic Style
Post date: 13 Dec 2016A 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.
The Elements of Data Analytic Style
Post date: 13 Dec 2016A 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.
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