Data Analysis with Open Source Tools

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9780596802356: Data Analysis with Open Source Tools

Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.

Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.

  • Use graphics to describe data with one, two, or dozens of variables
  • Develop conceptual models using back-of-the-envelope calculations, as well asscaling and probability arguments
  • Mine data with computationally intensive methods such as simulation and clustering
  • Make your conclusions understandable through reports, dashboards, and other metrics programs
  • Understand financial calculations, including the time-value of money
  • Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations
  • Become familiar with different open source programming environments for data analysis

"Finally, a concise reference for understanding how to conquer piles of data."--Austin King, Senior Web Developer, Mozilla

"An indispensable text for aspiring data scientists."--Michael E. Driscoll, CEO/Founder, Dataspora

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Descrizione del libro:

A hands-on guide for programmers and data scientists

L'autore:

After previous careers in physics and softwaredevelopment, Philipp K. Janert currentlyprovides consulting services for data analysis,algorithm development, and mathematical modeling.He has worked for small start-ups and in largecorporate environments, both in the U.S. andoverseas. He prefers simple solutions that workto complicated ones that don't, and thinks thatpurpose is more important than process. Philippis the author of "Gnuplot in Action - UnderstandingData with Graphs" (Manning Publications), and haswritten for the O'Reilly Network, IBM developerWorks,and IEEE Software. He is named inventor on a handfulof patents, and is an occasional contributor to CPAN.He holds a Ph.D. in theoretical physics from theUniversity of Washington. Visit his company websiteat www.principal-value.com.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

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Philipp K. Janert
Editore: O Reilly Media, Inc, USA, United States (2010)
ISBN 10: 0596802358 ISBN 13: 9780596802356
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Descrizione libro O Reilly Media, Inc, USA, United States, 2010. Paperback. Condizione libro: New. 229 x 178 mm. Language: English . Brand New Book. Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You ll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications. Along the way, you ll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you ll learn how to think about the results you want to achieve -- rather than rely on tools to think for you. * Use graphics to describe data with one, two, or dozens of variables * Develop conceptual models using back-of-the-envelope calculations, as well as scaling and probability arguments * Mine data with computationally intensive methods such as simulation and clustering * Make your conclusions understandable through reports, dashboards, and other metrics programs * Understand financial calculations, including the time-value of money * Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations * Become familiar with different open source programming environments for data analysis Finally, a concise reference for understanding how to conquer piles of data. --Austin King, Senior Web Developer, Mozilla An indispensable text for aspiring data scientists. --Michael E. Driscoll, CEO/Founder, Dataspora. Codice libro della libreria AAH9780596802356

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Philipp K. Janert
Editore: O Reilly Media, Inc, USA, United States (2010)
ISBN 10: 0596802358 ISBN 13: 9780596802356
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Descrizione libro O Reilly Media, Inc, USA, United States, 2010. Paperback. Condizione libro: New. 229 x 178 mm. Language: English . Brand New Book. Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You ll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications. Along the way, you ll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you ll learn how to think about the results you want to achieve -- rather than rely on tools to think for you. * Use graphics to describe data with one, two, or dozens of variables * Develop conceptual models using back-of-the-envelope calculations, as well as scaling and probability arguments * Mine data with computationally intensive methods such as simulation and clustering * Make your conclusions understandable through reports, dashboards, and other metrics programs * Understand financial calculations, including the time-value of money * Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations * Become familiar with different open source programming environments for data analysis Finally, a concise reference for understanding how to conquer piles of data. --Austin King, Senior Web Developer, Mozilla An indispensable text for aspiring data scientists. --Michael E. Driscoll, CEO/Founder, Dataspora. Codice libro della libreria AAH9780596802356

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Descrizione libro Paperback. Condizione libro: New. Softcover Book, Condition: New. 1st Edition. [Please Read Carefully Before Buying], This Is An International Edition. Printed In Black and White. 540 Pages, Book Cover And ISBN No May Be Different From US Edition. Restricted Sales Disclaimer Wordings Not For Sales In USA And Canada May Be Printed On The Cover Of The Book. Standard Shipping 7-14 Business Days. Expedited Shiping 4-8 Business Days. ***WE DO NOT ENTERTAIN BULK ORDERS.*** The Books May Be Ship From Overseas For Inventory Purpose. Codice libro della libreria 507937

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Descrizione libro O'Reilly Media, Inc, USA. Paperback. Condizione libro: new. BRAND NEW, Data Analysis with Open Source Tools, Philipp K. Janert, Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications. Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you. * Use graphics to describe data with one, two, or dozens of variables * Develop conceptual models using back-of-the-envelope calculations, as well as scaling and probability arguments * Mine data with computationally intensive methods such as simulation and clustering * Make your conclusions understandable through reports, dashboards, and other metrics programs * Understand financial calculations, including the time-value of money * Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations * Become familiar with different open source programming environments for data analysis "Finally, a concise reference for understanding how to conquer piles of data." --Austin King, Senior Web Developer, Mozilla "An indispensable text for aspiring data scientists." --Michael E. Driscoll, CEO/Founder, Dataspora. Codice libro della libreria B9780596802356

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Descrizione libro O'Reilly Media. Condizione libro: New. 0596802358 This is an International Edition. Brand New, Paperback, Delivery within 6-14 business days, Similar Contents as U.S Edition, ISBN and Cover design may differ, printed in Black & White. Choose Expedited shipping for delivery within 3-8 business days. We do not ship to PO Box, APO , FPO Address. In some instances, subjects such as Management, Accounting, Finance may have different end chapter case studies and exercises. International Edition Textbooks may bear a label "Not for sale in the U.S. or Canada" and "Content may different from U.S. Edition" - printed only to discourage U.S. students from obtaining an affordable copy. The U.S. Supreme Court has asserted your right to purchase international editions, and ruled on this issue. Access code/CD is not provided with these editions , unless specified. We may ship the books from multiple warehouses across the globe, including India depending upon the availability of inventory storage. Customer satisfaction guaranteed. Codice libro della libreria SU9780596802356

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Descrizione libro O'Reilly Media 2010-11-25, 2010. Condizione libro: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Codice libro della libreria NU-LBR-00862057

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