ERIC Number: ED616783
Record Type: Non-Journal
Publication Date: 2021
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: N/A
What Is Data Science? An Operational Definition Based on Text Mining of Data Science Curricula
Zhang, Zhiyong; Zhang, Danyang
Grantee Submission, Journal of Behavioral Data Science v1 n1 p1-16 2021
Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These topics reiterate that data science is at the intersection of statistics, computer science, and substantive fields.
Descriptors: Statistics Education, Definitions, Course Descriptions, Computer Science Education, Information Security, Privacy, Ethics, Database Management Systems, Algebra, Mathematical Models, Probability, Statistical Inference, Artificial Intelligence, Data Collection, Network Analysis, Data Analysis, Computer Software, College Curriculum, Visual Aids
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: N/A
IES Funded: Yes
Grant or Contract Numbers: R305D210023
Author Affiliations: N/A