When Data Science Becomes Software Engineering

Lito Perez Cruz

Abstract

Data science is strongly related to knowledge discovery. It can be said that the output of the data science work is input to the knowledge discovery process. With data science evolving as a discipline of its own, it is estimated that the U.S.A alone, needs more than 1M professionals skilled in the discipline by next year. If we include the needs of the rest of the world, then internationally, it needs more than that. Consequently, private and public educational institutions are hurriedly offering data science courses to candidates. The general emphasis of these courses understandably, is in the use of data mining and machine learning tools and methods. In this paper, we will argue that the subject of software engineering should also be taught to these candidates formally, and not haphazardly, as if it is something the would-be data scientist can pick up along the way. In this paper, we will examine the data science work process and the present state of skills training provided by data science educators. We will present warrants and arguments that software engineering as a discipline can not be taken for granted in the training of a data scientist.

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Paper Citation


in Harvard Style

Cruz L. (2017). When Data Science Becomes Software Engineering.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-272-1, pages 226-232. DOI: 10.5220/0006508502260232


in Bibtex Style

@conference{keod17,
author={Lito Perez Cruz},
title={When Data Science Becomes Software Engineering},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2017},
pages={226-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006508502260232},
isbn={978-989-758-272-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - When Data Science Becomes Software Engineering
SN - 978-989-758-272-1
AU - Cruz L.
PY - 2017
SP - 226
EP - 232
DO - 10.5220/0006508502260232