Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）

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Match Model of Data-Analysis Competencies in Higher Education Institutes and Enterprises

Authors
Xiaoyu Wei1, 3, Guoqiang Chen1, 2, Xichao Zhao3, 4, *, Feng Yu3, Bowen Chen3, Di Zhang3, Ngan Iek Hang3
1Beijing Institute of Technology, Zhuhai, China
2Zhuhai Science and Technology Development Promotion Association, Zhuhai, China
3Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macao, China
4Guangxi College of Finance and Economics, Nanning, Guangxi, China
*Corresponding author. Email: P2209677@mpu.edu.mo
Corresponding Author
Xichao Zhao
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-502-7_3How to use a DOI?
Keywords
Data Analysis skills; Match model; Higher education; Coupling Coordination Analysis
Abstract

The demand for highly skilled technical data analysts has significantly increased due to the growing emphasis on advanced technology and its widespread use in related industries. This study uses quantitative analysis to develop a matching model for data analysis competencies. The aim is to analyze the coordination between curriculum and job requirements in higher education institutions. Conclusions: The data analysis industry has promising prospects, with a rapidly growing demand for jobs. The skill requirements for data analysis align with the educational content provided to practitioners in colleges and universities. Nevertheless, there exists a substantial need for individuals possessing proficient skills in data analysis. The skills necessary for data analysis roles are in line with the skills imparted to professionals in colleges and universities. Nevertheless, there is still a discernible inadequacy in the capabilities of data analysis. Suggestions: training of advanced data analysis skills, specifically in the utilization of data analysis software, should be emphasized in higher education. The cultivation of data analysis proficiency is contingent upon the synergistic endeavors of academic institutions and social enterprises.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
Series
Atlantis Highlights in Computer Sciences
Publication Date
31 August 2024
ISBN
978-94-6463-502-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-502-7_3How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaoyu Wei
AU  - Guoqiang Chen
AU  - Xichao Zhao
AU  - Feng Yu
AU  - Bowen Chen
AU  - Di Zhang
AU  - Ngan Iek Hang
PY  - 2024
DA  - 2024/08/31
TI  - Match Model of Data-Analysis Competencies in Higher Education Institutes and Enterprises
BT  - Proceedings of the 2024 5th International Conference on Education, Knowledge and Information Management (ICEKIM 2024）
PB  - Atlantis Press
SP  - 11
EP  - 20
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-502-7_3
DO  - 10.2991/978-94-6463-502-7_3
ID  - Wei2024
ER  -