Abstract: Against the backdrop of rapid development of big data and artificial intelligence, knowledge graphs play an important role in many fields and are widely applied in curriculum construction. Statistics is the core discipline of data processing and analysis. This article focuses on the statistics course and the data science and big data technology major, which aims to cultivate financial big data talents. Around relevant courses and combined with professional training characteristics, a course group is established to explore the application of knowledge graph in the construction of statistics course group from three aspects: knowledge graph, ability graph, and learning situation graph.

Key words: Knowledge extraction, Statistics, Course group, Knowledge graph, Capability map, Learning situation map