On the Optimization of Cultivation Model of Economic Statistics Students in the Context of Big Data
DOI: 10.54647/education88347 90 Downloads 5307 Views
Author(s)
Abstract
In the context of the widespread use of big data, the cultivation of economic statistics talents faces more challenges and higher requirements. Therefore, based on the objective analysis of the current situation of talent demand and the existing problems of cultivation mode of economic statistics majors in the background of big data, this paper summarizes the talent cultivation mode and characteristics of some universities in the new era, and then propose the optimization strategies of cultivation mode of composite talents in economic statistics majors in three aspects of cultivation goal, curriculum and teaching mode, in order to better meet the needs of social development.
Keywords
big data; economic statistics; composite talents; cultivation mode
Cite this paper
Xin Zhao, Xiaowei Ma, Xiaoxiao Zhou,
On the Optimization of Cultivation Model of Economic Statistics Students in the Context of Big Data
, SCIREA Journal of Education.
Volume 7, Issue 3, June 2022 | PP. 90-101.
10.54647/education88347
References
[ 1 ] | Zhu D, Chen L. (2016). Research on talent cultivation model of statistics driven by big data. Statistics and Information Forum. 31(12):102-107. |
[ 2 ] | Xue J, Zhang C. (2016). Research on the training mode of applied talents in economic statistics in the era of big data. Education Modernization. 3(22):7-8+11. |
[ 3 ] | Chen Y, Su W, Chen J. (2021). Exploration and practice of economic statistics personnel training model in the digital economy. Statistical Science and Practice. 11: 46-48. |
[ 4 ] | Lu Y. (2020). Research on the reform of talent training mode of economic statistics in local universities in the era of big data. Education Modernization. 7(13):7-8. |
[ 5 ] | Bian Q. (2020). Research on the cultivation of statistical professionals in the era of big data. Innovation and Entrepreneurship Theory and Practice. 3(15):121-122. |