Yayın:
How should data science education be?

dc.contributor.authorGürsakal, Necmi
dc.contributor.buuauthorYılmaz, Fırat Melih
dc.contributor.buuauthorOzkan, Ecem
dc.contributor.buuauthorOktay, Deniz
dc.contributor.departmentİktisadi ve İdari Bilimler Fakültesi
dc.contributor.departmentEkonometri Ana Bilim Dalı
dc.contributor.orcid0000-0001-5816-4321
dc.contributor.orcid0000-0001-8872-3606
dc.contributor.researcheridGRO-5689-2022
dc.contributor.researcheridAAA-4674-2021
dc.contributor.researcheridAAU-9056-2020
dc.contributor.researcheridABF-7016-2020
dc.date.accessioned2024-07-04T11:54:59Z
dc.date.available2024-07-04T11:54:59Z
dc.date.issued2020-04-01
dc.description.abstractThe interest in data science is increasing in recent years. Data science, including mathematics, statistics, big data, machine learning, and deep learning, can be considered as the intersection of statistics, mathematics and computer science. Although the debate continues about the core area of data science, the subject is a huge hit. Universities have a high demand for data science. They are trying to live up to this demand by opening postgraduate and doctoral programs. Since the subject is a new field, there are significant differences between the programs given by universities in data science. Besides, since the subject is close to statistics, most of the time, data science programs are opened in the statistics departments, and this also causes differences between the programs. In this article, we will summarize the data science education developments in the world and in Turkey specifically and how data science education should be at the graduate level.
dc.identifier.doi10.4018/IJEOE.2020040103
dc.identifier.endpage36
dc.identifier.issn2160-9500
dc.identifier.issue2
dc.identifier.startpage25
dc.identifier.urihttps://doi.org/10.4018/IJEOE.2020040103
dc.identifier.urihttps://hdl.handle.net/11452/42908
dc.identifier.volume9
dc.identifier.wos000509576300003
dc.indexed.wosWOS.ESCI
dc.language.isoen
dc.publisherIgi Global
dc.relation.journalInternational Journal Of Energy Optimization And Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectData product
dc.subjectData science
dc.subjectEducation
dc.subjectRecommendation system
dc.subjectScience & technology
dc.subjectTechnology
dc.subjectEnergy & fuels
dc.titleHow should data science education be?
dc.typeArticle
dspace.entity.typePublication
local.contributor.departmentİktisadi ve İdari Bilimler Fakültesi/Ekonometri Ana Bilim Dalı
local.indexed.atWOS

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