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What should be taught in an academic program of data sciences?
Niv Ahituv
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Corresponding author for this work
Coller School of Management
Research output
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Contribution to journal
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Conference article
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peer-review
1
Scopus citations
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Keyphrases
Academic Programs
100%
Data Science
100%
Data Analysts
100%
Business Sector
66%
Government Sector
66%
Big Data
66%
Public Sector
33%
Academic Discipline
33%
Scientific Disciplines
33%
Depository
33%
Data Storage
33%
Machine Learning
33%
New Academics
33%
Making Decisions
33%
Data Transformation
33%
Data Integration
33%
Interdisciplinary Research
33%
Technology Development
33%
Inference Methods
33%
Hardware Technology
33%
Stage number
33%
Decision Basis
33%
Academic Sector
33%
Introductory Course
33%
Business Survival
33%
Data Scientist
33%
Software Technology
33%
Data Science Projects
33%
Academic Data
33%
Huge Amounts of Data
33%
Public Government
33%
Computer Science
Data Analyst
100%
Academic Program
100%
Decision-Making
66%
Big Data
66%
Data Mining
33%
Data Source
33%
Machine Learning
33%
Data Integration
33%
Inference Technique
33%
Scientific Discipline
33%
Problem Definition
33%
Software Technology
33%
Data Scientist
33%
Business Sector
33%
Interdisciplinary Research
33%
Identify Pattern
33%
Social Sciences
Data Science
100%
Decision Making
50%
Industrial Sector
50%
Professional Occupations
50%
Big Data
50%
Academic Discipline
25%
Data Mining
25%
Interdisciplinary Research
25%
Scientific Discipline
25%
Academic Sector
25%
Economics, Econometrics and Finance
Machine Learning
100%
Academic Discipline
100%