Analysis and Research on Undergraduate Data Science Major Training Based on Online Market Demand 

Shiwei Yang 

1.Sultan Idris Education University 

2.Guizhou Education University，Guiyang City, Guizhou Province，550025； 

Abstract: This article aims to explore optimization strategies for undergraduate data science training under the demand of the online market. By analyzing the current problems in training, such as the disconnect between theory and practice, and vague career planning, methods are proposed to strengthen the practical teaching system, enhance the construction of the teaching staff, improve career planning guidance, and deepen school enterprise cooperation models. The research results show that these measures can effectively enhance students' practical abilities and employment competitiveness. Deepening school enterprise cooperation, strengthening practical teaching and other strategies are crucial for cultivating high-quality data science talentsthat meet the needs of the online market, and help promote the sustainable and healthy development of the data science field. 

Keywords: Online market demand; Undergraduate Data Science; Cultivation characteristics; There are problems 

References 

[1]Zhang Min, Jia Li, Shi Chunling Research on the Demand for Intelligent Financial Talents under the Background of Digital Economy: Empirical Analysis Based on Survey Questionnaire Data [J]. Journal of Xiamen University: Philosophy and Social Sciences Edition, 2023, 73(2):57-69. 

[2]Ye Lina, Liu Mingliang, Yuan Chao, etc Research on Career Profile and Job Seeker Profile Based on Big Data Analysis [J]. Computer Science and Applications, 2023, 13(5):943-952.DOI:10.12677/CSA.2023.135092. 

[3]Shi Meng'an, Ren Yan, Ye Qian, etc Research on the Construction of Applied Undergraduate Data Science and Big Data Technology Major [J]. Software Guide, 2021, 020(011):P.235-239. 

[4]Wang Weina, Ma Jun Research on the Talent Training Model of Data Science and Big Data Majors in Chemical Engineering Characteristic Universities [J]. Journal of Jilin University of Chemical Technology, 2022,39(6):19-23. 

[5]Wang Yiran, Zheng Jinge, Zhang Xiaowei, etc Research on the Talent Training Model of Data Science and Big Data Technology Major in Local Undergraduate Universities [J]. Journal of Zhoukou Normal University, 2023, 40(5):111-114.

[6]She Bailian, Zhang Liping Research on the Demand Characteristics and Training of Professional Talents in New Accommodation Formats [J]. Education Science Forum, 2023(30):43-47. 

[7]Sardiello C ,Halton S ,Voigt A .The Case for Data Science at Sea[J].United States Naval Institute. Proceedings,2024,150(6):1-1.