Distance education has the time and space flexibility that traditional education can’t match, but it also has its own limitations, which mainly lie in the insufficient guidance for students and the lack of effective monitoring of their learning. In order to overcome the inherent defects of distance education, in this paper, the author integrates the various resources that educational institutions can provide, and establishes a complete autonomous learning system for distance education that can provide multiple services. Using data mining technology, the author proposes the method for optimization of autonomous learning programs for distance education, which is described in detail with examples. The research results of this paper can provide some reference for the design of autonomous learning system for distance education.