Development of data science teaching method: R and Python-centered†
Dae-Heung Jang1 · Seongbaek Yi2 · Dongju Lee3
12Division of Data and Information Sciences, Pukyong National University
3Division of International Commerce, Pukyong National University
3Division of International Commerce, Pukyong National University
Correspondence to: † This research was supported by Pukyong National University Development Project Research Fund, 2022.
1 Professor, Division of Data and Information Sciences Pukyong National University, Busan 48513, Korea.
2 Professor, Division of Data and Information Sciences, Pukyong National University, Busan 48513, Korea.
3 Professor, Division of International Commerce, Pukyong National University, Busan 48513, Korea. E-mail: dlee@pknu.ac.kr
1 Professor, Division of Data and Information Sciences Pukyong National University, Busan 48513, Korea.
2 Professor, Division of Data and Information Sciences, Pukyong National University, Busan 48513, Korea.
3 Professor, Division of International Commerce, Pukyong National University, Busan 48513, Korea. E-mail: dlee@pknu.ac.kr
Received December 20, 2022; Revised January 17, 2023; Accepted January 20, 2023.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Abstract
- The 4th industrial revolution refers to the industrial revolution achieved through the convergence of information and communication technology (ICT). In the 4th industrial revolution, various new technologies that integrate the digital, physical, and biological worlds based on big data and affect all fields such as economy and industry are key. The 4th industrial revolution has a great impact on education. Data science is an increasingly important field in the era of big data. Therefore, it is necessary to study the teaching method for ‘understanding of data science’ as a convergence major subject for understanding and analyzing big data. Through this article, as a convergence major subject, the teaching method of ‘Understanding Data Science’ was studied.
- Keywords : Data science, data visualization, machine learning, predictive analytics.
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