The selective course system of colleges and universities has accumulated a large number of“idle”course selection data, and how to use these“idle”data in service of colleges and universities has become a problem that teaching management needs to address. To solve the "idle" course selection data problem, the application of the association rules’interestingness data mining in the course selection is analyzed and discussed. The course selection data analysis software is written in Visual FoxPro language, and the course selection data are analyzed to find out the preferences of different types of students for different types of courses, which can be very helpful when teachers guide students to the selection of courses.