Data scientist: encoding the hidden and intangible value of the data
DOI:
https://doi.org/10.22201/codeic.16076079e.2017.v18n7.a2Keywords:
data scientist, data science, Big Data, data mining, data visualizationAbstract
Data science is an emerging discipline of great relevance to all companies that wishing to encode the hidden and intangible value of data. Today more than ever we are connected to more people and devices, we have access to more networks and services, and not there are doubt that we consume and produce greater amounts of data and information. So we require the skills, knowledge, experiences and techniques of data scientists to process, analyze and visualize the data toward information in smarter ways, promoting more and better knowledge of their reality in their contexts. This article explains the main areas in which a data scientist develops (Big data, data mining and data visualization) and the intersections between these, including examples of projects developed by data scientists and the great value that they have known how to code it. In addition, to present an interpretation of the elements that constitute the scientific data.
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