A Practical Study on Statistical Analysis of Secondary School Achievement and Case Teaching Based on Data Mining

Data mining is an in-depth data analysis method that can mine useful information from massive data. For secondary schools, most of the statistical achievement data are treated as query and record data, which is a waste of resources, and the use of data mining technology to analyze and process the relevant educational data can help accelerate the development of education informatization. The traditional teaching methods in secondary schools are not enough to stimulate students’ interest in learning, and it is difficult to achieve the expected learning effect. In order to solve this problem, this paper provides theoretical purposes for the comprehensive implementation of quality education in secondary schools and improving the level of vocational education, by statistically analyzing the performance of secondary schools and implementing Case teaching measures to improve the learning performance of secondary students.