How Should Data Science Education Be?

dc.authoridOktay, Deniz/0000-0001-8872-3606
dc.authoridYilmaz, Firat Melih/0000-0001-5816-4321
dc.authorwosidYılmaz, Fırat/AAU-9056-2020
dc.authorwosidOzkan, Ecem/AAA-4674-2021
dc.authorwosidOktay, Deniz/ABF-7016-2020
dc.contributor.authorGursakal, Necmi
dc.contributor.authorOzkan, Ecem
dc.contributor.authorYilmaz, Firat Melih
dc.contributor.authorOktay, Deniz
dc.date.accessioned2025-01-11T13:01:31Z
dc.date.available2025-01-11T13:01:31Z
dc.date.issued2020
dc.departmentFenerbahçe Universityen_US
dc.department-temp[Gursakal, Necmi] Fenerbahce Univ, Atasehir, Turkey; [Ozkan, Ecem; Oktay, Deniz] Uludag Univ, Bursa, Turkey; [Yilmaz, Firat Melih] Uludag Univ, Dept Econ, Bursa, Turkeyen_US
dc.descriptionOktay, Deniz/0000-0001-8872-3606; Yilmaz, Firat Melih/0000-0001-5816-4321en_US
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.en_US
dc.description.woscitationindexEmerging Sources Citation Index
dc.identifier.citation0
dc.identifier.doi10.4018/IJEOE.2020040103
dc.identifier.endpage36en_US
dc.identifier.issn2160-9500
dc.identifier.issn2160-9543
dc.identifier.issue2en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage25en_US
dc.identifier.urihttps://doi.org/10.4018/IJEOE.2020040103
dc.identifier.urihttps://hdl.handle.net/20.500.14627/135
dc.identifier.volume9en_US
dc.identifier.wosWOS:000509576300003
dc.language.isoenen_US
dc.publisherIgi Globalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData Producten_US
dc.subjectData Scienceen_US
dc.subjectEducationen_US
dc.subjectRecommendation Systemen_US
dc.titleHow Should Data Science Education Be?en_US
dc.typeArticleen_US
dspace.entity.typePublication

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