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portada real world data analysis
real world data analysisreal world data analysisreal world data analysisreal world data analysis
Type
Physical Book
Author
Publisher
Year
2010
Language
English
Pages
350
Format
Paperback
Dimensions
23.4 x 17.8 x 3.6 cm
Weight
0.84 kg.
ISBN
0596802358
ISBN13
9780596802356
Categories

real world data analysis

Philipp K. Janert (Author) · O'Reilly Media · Paperback

real world data analysis - Janert, Philipp K.

New Book Imported to Netherlands
Delivery: 22 Jul - 29 Jul Shipping: 16 to 20 business days.
39,10 €
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39,10 €

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Synopsis "real world data analysis"

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 variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome 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

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