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The Theory and Practice of Innovation and Enntrepreneurship ›› 2024, Vol. 7 ›› Issue (10): 69-71.

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Practice of Applied Statistics Innovative Talents Training in Big Data Era

XU Zengmin1,2,3, MAO Rui1,2   

  1. 1. School of Mathematics and Computing Science, Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin Guangxi, 541004, China;
    2. Center for Applied Mathematics of Guangxi (GUET), Guilin Guangxi, 541004, China;
    3. Anview.ai, Guilin Guangxi, 541010, China
  • Online:2024-05-25 Published:2024-07-16

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

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