关键词: 交叉学科, 数据应用, 创新创业, 新质生产力, 非结构化数据, 机器学习

Abstract: Innovation and entrepreneurship educational reform in universities is very important to the country for implementing the innovation-driven development strategy. The era of big data requires applied statistics to analyze data elements and accelerate data transformation. Applied statistics belongs to the interdisciplinary disciplines of mathematics colleges, they lack of professional teachers lead to the restriction of talent training mode. It is urgent to integrate the new generation of information technology, improve the curriculum system and campus culture construction, strengthen the concept of innovation and entrepreneurship education, then promote high-quality employment for students. Relying on the innovation and entrepreneurship team of teachers, with the help of the data application innovative competition, the school of Mathematics & Computing Science of GUET drives the outstanding students of applied statistics to contact the interdisciplinary knowledge and innovation practice, actively complete the whole process of computer application and data analysis, so as to explore a new path of innovative talents cultivation.

Key words: Interdisciplinary, Data application, Innovation and entrepreneurship, New Productive Forces, Unstructured data, Machine learning