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Cubierta del libro
MAT. IMPRESO
Autor Pierson, Lillian

Título Data science for dummies / by Lillian Pierson ; foreword by Jake Porway

Publicación Hoboken, New Jersey : John Wiley and sons, cop. 2015
Ubicación Signatura Tipo de préstamo Estado Notas
 B.Hypatia-Depósito  MET EST 960(1)    PRÉSTAMO LARGO  VENCE 20-11-20
Descripción física xvi, 384 p. : il. ; 24 cm
Colección For dummies
--For dummies
Nota Incluye Indice
Contiene: Part I, Getting started with data science: Wrapping your head around data science -- Exploring data engineering pipelines and infrastructure -- Applying data science to business and industry -- Part II, Using data science to extract meaning from your data: Introducing probability and statistics -- Clustering and classification -- Clustering and classification with nearest neighbor algorithms -- Mathematical modeling in data science -- Modeling spatial data with statistics -- Part III, Creating data visualizations that clearly communicate: Following the principles of data visualization design -- Using d3.js for data visualization -- Web-based applications for visualization design -- Exploring best practices in dashboard design -- Making maps from spatial data -- Part IV, Computing for data science: Using python for data science -- Using open source R for data science -- Using SQL in data science -- Software applications for data science -- Part V, Applying domain expertise to solve real-world problems: Using data science in journalism -- Delving into environmental data science -- Data science for driving growth in e-commerce -- Using data science to describe and predict criminal activity -- Part VI, The part of tens: Ten phenomenal resources for open data -- Ten (or so) free data science tools and applications
Descriptores Information technology --Databases --Data mining --Big data
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Materia Minería de datos
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Autor secundario Porway, Jake, prologuista
ISBN 9781118841556