How Should Data Science Education Be?

dc.authorid Oktay, Deniz/0000-0001-8872-3606
dc.authorid Yilmaz, Firat Melih/0000-0001-5816-4321
dc.authorwosid Yılmaz, Fırat/AAU-9056-2020
dc.authorwosid Ozkan, Ecem/AAA-4674-2021
dc.authorwosid Oktay, Deniz/ABF-7016-2020
dc.contributor.author Gursakal, Necmi
dc.contributor.author Ozkan, Ecem
dc.contributor.author Yilmaz, Firat Melih
dc.contributor.author Oktay, Deniz
dc.date.accessioned 2025-01-11T13:01:31Z
dc.date.available 2025-01-11T13:01:31Z
dc.date.issued 2020
dc.department Fenerbahçe University en_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, Turkey en_US
dc.description Oktay, Deniz/0000-0001-8872-3606; Yilmaz, Firat Melih/0000-0001-5816-4321 en_US
dc.description.abstract The 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.woscitationindex Emerging Sources Citation Index
dc.identifier.citation 0
dc.identifier.doi 10.4018/IJEOE.2020040103
dc.identifier.endpage 36 en_US
dc.identifier.issn 2160-9500
dc.identifier.issn 2160-9543
dc.identifier.issue 2 en_US
dc.identifier.scopusquality N/A
dc.identifier.startpage 25 en_US
dc.identifier.uri https://doi.org/10.4018/IJEOE.2020040103
dc.identifier.uri https://hdl.handle.net/20.500.14627/135
dc.identifier.volume 9 en_US
dc.identifier.wos WOS:000509576300003
dc.language.iso en en_US
dc.publisher Igi Global en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Data Product en_US
dc.subject Data Science en_US
dc.subject Education en_US
dc.subject Recommendation System en_US
dc.title How Should Data Science Education Be? en_US
dc.type Article en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication

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