Getting started with data science : making sense of data with analytics /

Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything is software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. She teaches a crucial ski...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Haider, Murtaza (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston : IBM Press, Pearson, [2016]
Temas:
Data mining.
Business enterprises > Data processing.
Data Mining
Exploration de données (Informatique)
Entreprises > Informatique.
Business enterprises > Data processing
Data mining
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Getting started with data science :  |b making sense of data with analytics /  |c Murtaza Haider. 
264 1 |a Boston :  |b IBM Press, Pearson,  |c [2016] 
264 4 |c ©2016 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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588 0 |a Online resource; title from title page (Safari, viewed January 5, 2016). 
504 |a Includes bibliographical references and index. 
520 |a Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything is software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. She teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you'll always know why you're doing what you're doing. You'll master data science by answering fascinating questions. For each problem, you'll walk through defining your question and the answers you'll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. --  |c Edited summary from book. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Data mining. 
650 0 |a Business enterprises  |x Data processing. 
650 2 |a Data Mining 
650 6 |a Exploration de données (Informatique) 
650 6 |a Entreprises  |x Informatique. 
650 7 |a Business enterprises  |x Data processing  |2 fast 
650 7 |a Data mining  |2 fast 
776 0 8 |i Print version:  |a Haider, Murtaza.  |t Getting started with data science.  |d Boston : IBM Press, Pearson, [2016]  |w (DLC) 2015947691 
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