With the rapid development of e-commerce,higher education institutions have offered relevant courses to cultivate professional talents.However,traditional teaching methods often adopt a one size fits all approach,which is difficult to meet the personalized learning needs of students.The introduction of big data technology provides new possibilities for personalized teaching,as it collects and analyzes a large amount of student learning data to support teachers in developing more accurate and targeted teaching strategies.This method can not only enhance students'learning experience,but also improve teaching effectiveness.This article analyzes the existing limitations of personalized teaching in e-commerce courses and elaborates on personalized teaching strategies for e-commerce courses based on big data,including the collection and analysis of learning data,dynamic course content adaptation and personalized adjustment,personalized design of learning content and methods,and development of interactive learning resources.