Research and Practice on the Reform of “Financial Big Data Analysis” in the Context of New-Quality Productivity_Vol. 2 No. 2 (JHVE 2025)_Journal of Higher Vocational Education (ISSN: 3005-5784)

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Research and Practice on the Reform of “Financial Big Data Analysis” in the Context of New-Quality Productivity

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DOI: https://doi.org/10.62517/jhve.202516206

Author(s)

Huijian Lin, Minglin Zhang, Jiamian Yao

Affiliation(s)

Guangdong Polytechnic, Foshan, Guangdong, China

Abstract

In response to the growing integration of new-quality productivity and the digital transformation of financial services, this study explores the reform and practice of the “Financial Big Data Analysis” course. The research aims to address the mismatch between current curriculum design and the competency demands of intelligent business. Based on the key stages of financial data analysis (data collection, cleaning, modeling, visualization, and decision-making), the study proposes a framework of “Theory, Tools, Scenario, and Decision” to guide curriculum development. To implement the framework, the course integrates project-based learning, cross-disciplinary teaching teams, and school-enterprise collaboration, aiming to cultivate students’ financial thinking, technical proficiency, and cross-functional and inter-organizational communication skills and and innovative thinking. Feedback showed significant improvements in students’ core competencies. Real business case tasks improved their decision-making capabilities and industry responsiveness. The results demonstrate the effectiveness of the reform in cultivating interdisciplinary talents who meet the real-world needs of the digital economy and contribute to the ecosystem of new-quality productivity in higher education.

Keywords

New-Quality Productivity; Financial Big Data Analysis; Course Reform; Talent Development; Data Literacy

References

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