Name: real world data analysis (en Inglés)
SKU: 3718917
Price: 47.98 USD
Availability: InStock
Author: Janert, Philipp K.
ISBN: 9780596802356

portada real world data analysis (en Inglés)

Formato

Libro Físico

Autor

Philipp K. Janert

Editorial

O'Reilly Media

Año

2010

Idioma

Inglés

N° páginas

350

Encuadernación

Tapa Blanda

Dimensiones

23.4x17.8x3.6 cm

Peso

0.84 kg.

ISBN

0596802358

ISBN13

9780596802356

Categorías

Software de matemáticas y estadísticas
Lenguajes de programación y extensión/scripting: general
Minería de datos («data mining»)

real world data analysis (en Inglés)

Philipp K. Janert (Autor) · O'Reilly Media · Tapa Blanda

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Reseña del libro "real world data analysis (en Inglés)"

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