How Should Data Science Education Be?
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Igi Global
Open Access Color
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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.
Description
Oktay, Deniz/0000-0001-8872-3606; Yilmaz, Firat Melih/0000-0001-5816-4321
Keywords
Data Product, Data Science, Education, Recommendation System
Turkish CoHE Thesis Center URL
Fields of Science
Citation
0
WoS Q
Scopus Q
N/A
Source
Volume
9
Issue
2
Start Page
25
End Page
36