Browse > Article
http://dx.doi.org/10.14702/JPEE.2020.265

Curriculum of Basic Data Science Practices for Non-majors  

Hur, Kyeong (Department of Computer Education, Gyeong-In National University of Education)
Publication Information
Journal of Practical Engineering Education / v.12, no.2, 2020 , pp. 265-273 More about this Journal
Abstract
In this paper, to design a basic data science practice curriculum as a liberal arts subject for non-majors, we proposed an educational method using an Excel(spreadsheet) data analysis tool. Tools for data collection, data processing, and data analysis include Excel, R, Python, and Structured Query Language (SQL). When it comes to practicing data science, R, Python and SQL need to understand programming languages and data structures together. On the other hand, the Excel tool is a data analysis tool familiar to the general public, and it does not have the burden of learning a programming language. And if you practice basic data science practice with Excel, you have the advantage of being able to concentrate on acquiring data science content. In this paper, a basic data science practice curriculum for one semester and weekly Excel practice contents were proposed. And, to demonstrate the substance of the educational content, examples of Linear Regression Analysis were presented using Excel data analysis tools.
Keywords
Data Science; Excel; Hypothesis Test; Non-major undergraduates; Linear Regression Analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Ministry of Science and ICT, "Beyond an IT powerhouse to an AI powerhouse," Report Material, 2019.
2 Joint Ministries, Artificial intelligence national strategy, Report Material, 2019.
3 Y. J. Jang, "Searching for the direction of data science education in the era of the 4th industrial revolution," Integrated Humanities Research, vol. 9, no. 10, pp. 155-180, 2017.
4 Y. S. Park and S. J. Lee, "Study on the direction of universal big data and big data education-based on the survey of big data experts," Journal of the Korean Association of Information Education, vol. 24, no. 2, pp. 201-214, April 2020.   DOI
5 Y. M. Kim and J. H. Kim, "Effect of data science education program using spreadsheet on improvement of elementary school computational thinking," Journal of The Korean Association of Information Education, vol. 21, no. 2, pp. 219-230, April 2017.   DOI
6 J. S. Lee, "A study on visualization methods and expressions of information design for big data, basic formulation studies," vol. 14, no. 3, pp. 261-269, June 2013.
7 ADDIE Model, Wikipedia, 2020, [Online]. Available: https://ko.wikipedia.org/wiki/ADDIE _%EB%AA%A8%ED%98%95.
8 Ministry of Science and ICT, "The 4th industrial revolution in history," R & D KIOSK, No. 40, September 2017.
9 Ministry of Science and ICT, "The various aspects of the fourth industrial revolution, The Realized Future," R & D KIOSK, No. 41, October 2017.
10 J. Y. Kim, "Hello data science," Seoul : Hanbit Media, 2016.
11 J. K. Kwon, "Learning data science," Seoul : Jpub, 2020.
12 U. Ichiro, N. Hiroaki, A. Masami, and M. Eichi, "Learning data science with excel," Seoul : Hanbit Media, 2020.