Research on Innovative Curriculum System of Education and Teaching for Economic Management Majors Based on Data Visualization

In the digital era, colleges and universities need to adjust the talent cultivation mode of economic management majors and promote the establishment of educational teaching innovation curriculum system to better meet the development needs of the times. This paper generates a user data visualization by analyzing the behavioral data of students and teachers, in order to assist the management of colleges and universities to comprehensively understand the deficiencies of educational teaching innovation. In order to improve the accuracy of the portrait, the fuzzy clustering algorithm was improved by using the Gaussian density function to determine the initial clustering center, and combining the profile coefficient and the elbow method in order to determine the optimal number of clusters. Finally, a system dynamics evaluation model was established to explore the innovation strategy, which provides an effective decision-making basis for the innovative curriculum system of economic management professional education and teaching. The elements of educational innovatization are closely related, changing the annual growth rate of funds, the proportion of graduate students of innovatization managers and the incentive policy impact factor, all of which affect multiple variables at the same time. The above phenomenon shows that the level of educational innovation is the result of multiple factors. The relationship between various innovation factors should be dealt with simultaneously when constructing the educational and teaching innovation course system, in order to provide scientific suggestions for educational reform and innovation.