Innovative Practice of the "Post-Course-Competition-Certification" Training Model for Business Data Analysis Talents from the Perspective of Integration of Production and Education

Abstract

Against the backdrop of the rapid development of the digital economy, the market demand for business data analysis talents continues to rise. However, the current talent training model faces prominent problems such as the disconnection between courses and enterprise needs, low conversion rate of competition results, and insufficient recognition of certificates. Based on the perspective of integration of production and education, this paper takes the School of Digital Business of Zhejiang Dongfang Vocational and Technical College as the practical carrier to construct a four-dimensional coupled "Post-Course-Competition-Certification" training model. Through measures such as decomposing real enterprise job requirements, developing a modular curriculum system, designing real-scenario competition projects, and forming a tripartite certification alliance, a closed-loop transformation mechanism of "enterprise work orders - curriculum modules - competition projects - certificate examination points" has been formed. Practice shows that this model has effectively improved students' core vocational competencies. Compared with the traditional model, the post matching degree of graduates has increased by 35%, and the teaching conversion rate of competition results has reached 78%. It provides a replicable and promotable practical paradigm for the training of business data analysis talents in vocational education.