针对医科院校开设数据分析与挖掘课程的教学实际，分析课程在医科院校所具有的跨学科特性、医学数据特殊性、与医学实践衔接等教学难点，提出涵盖基础知识、医学应用、医学伦理与数据安全的教学内容设计，介绍案例驱动、项目导向、混合式教学等创新教学方法以及多元化、能力导向的考核评价体系构建，通过实践过程分析，说明相关探索取得一定成效。

Based on the practical teaching experience of offering data analysis and mining courses in the medical college, this paper analyzes the interdisciplinary nature of the course, the uniqueness of medical data, and the challenges in connecting it with medical practice. It proposes a teaching content design encompassing foundational knowledge, medical applications, medical ethics, and data security. Innovative teaching methods such as case-driven instruction, project-oriented learning, and blended teaching are introduced, along with the construction of a diversified, competency-oriented assessment and evaluation system. Through an analysis of practical implementation, it demonstrates that these explorations have achieved certain positive outcomes.