Introducción a la ciencia de datos en R. Un enfoque práctico
dc.contributor.author | Pérez Castillo, José Nelson | |
dc.contributor.orcid | Pérez Castillo, José Nelson [0000-0001-8153-3113] | spa |
dc.date.accessioned | 2023-09-27T15:06:41Z | |
dc.date.available | 2023-09-27T15:06:41Z | |
dc.date.created | 2020-05 | |
dc.description | Este libro busca que el lector adquiera la capacidad de utilizar las técnicas y herramientas propias de lo que hoy se conoce como ciencia de datos, teniendo como propósito resolver problemas que involucren diversas fuentes de datos, tanto estructurados como no estructurados, dotándolo de la capacidad de generar valor y diferenciación a las organizaciones a partir del análisis de sus conjuntos de datos. Busca, además, presentar, analizar y utilizar las oportunidades de innovación que ofrece la ciencia de datos en la toma de decisiones estratégicas y tácticas de una organización en el desarrollo de aplicaciones en diferentes campos del conocimiento, adoptando la plataforma R como alternativa especial para abordarlas. | spa |
dc.description.abstract | This book seeks for the reader to acquire the ability to use the techniques and tools of what is known today as data science, with the purpose of solving problems that involve various sources of data, both structured and unstructured, providing the reader with the ability to generate value and differentiation for organizations from the analysis of their data sets. It also seeks to present, analyze and use the innovation opportunities offered by data science in the strategic and tactical decision making of an organization in the development of applications in different fields of knowledge, adopting the R platform as a special alternative to address them. | spa |
dc.description.city | Bogotá | spa |
dc.format.mimetype | spa | |
dc.identifier.editorial | Universidad Distrital Francisco José de Caldas. Centro de Investigaciones y Desarrollo Científico | spa |
dc.identifier.isbn | 978-958-787-171-5 | spa |
dc.identifier.uri | http://hdl.handle.net/11349/32324 | |
dc.relation.ispartofseries | Espacios | spa |
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dc.relation.references | D. Nolan and D. Temple Lang, Data Science in R: a Case Studies Approach to Computational Reasoning and Problem Solving. 1st Edition, CRC Press, 2015. [En línea]. Disponible en: http://bit.ly/30wsYew | spa |
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dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.acceso | Abierto (Texto Completo) | spa |
dc.rights.accessrights | OpenAccess | spa |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Ciencia de datos | spa |
dc.subject | Minería de datos | spa |
dc.subject | Estadística | spa |
dc.subject | Análisis estadístico | spa |
dc.subject | Plataforma R | spa |
dc.subject.keyword | Data science | spa |
dc.subject.keyword | Data mining | spa |
dc.subject.keyword | Statistics | spa |
dc.subject.keyword | Statistic analysis | spa |
dc.subject.keyword | R Platform | spa |
dc.subject.lemb | R (Sistema para análisis estadísticos y gráficos) -- Estudio de casos | spa |
dc.subject.lemb | Análisis de datos | spa |
dc.subject.lemb | Estadística -- Fundamentos | spa |
dc.subject.lemb | Minería de datos | spa |
dc.title | Introducción a la ciencia de datos en R. Un enfoque práctico | spa |
dc.title.alternative | Un enfoque práctico | spa |
dc.title.titleenglish | Introduction to data science in R. A practical approach | spa |
dc.type | book | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_2f33 | |
dc.type.driver | info:eu-repo/semantics/book |
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