Research on course optimization of financial statistics under the background of digital economy

Xiaowei Ma; Xin Zhao; Zijie Wang

doi:10.63313/ESW.9089

Authors

Xiaowei Ma School of Finance, Anhui University of Finance and Economics, Bengbu, 233030, China Author
Xin Zhao School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, 233030, China Author
Zijie Wang School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China Author

DOI:

https://doi.org/10.63313/ESW.9089

Keywords:

Digital economy, Financial statistics, Curriculum optimization

Abstract

With the vigorous development of the digital economy, the new generation of information technology represented by big data, cloud computing, and artificial intelligence is profoundly changing the ecological pattern of the financial in-dustry, and the training of financial statistics professionals is facing new chal-lenges and opportunities. This paper focuses on the optimization research of the training mode of financial statistics professionals under the background of the digital economy, and deeply analyzes the problems of the current training of financial statistics talents, such as fuzzy target positioning, lack of professional curriculum practice, relatively lagging teaching mode and imperfect teaching evaluation system. Given the above problems, this paper puts forward specific suggestions from four aspects: optimizing the talent training program, perfect-ing the innovative education system, building the dual classroom education model, and building three education platforms. This paper is of reference signif-icance for training high-quality financial statistics professionals who meet the needs of the digital economy era and help the development of the financial in-dustry and economic and social progress.

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