随着信息技术的发展,Python在统计学课程教学中得到广泛应用。传统的教学方法难以直观地帮助学生理解抽象的统计概念,而Python提供的可视化工具能够通过图示增强学生对数据统计、概率分布和参数估计等知识点的理解。本文探讨了Python数据可视化在统计学课程教学中的应用,分析了其在加深学生知识点理解、问题处理和编程技能提升等方面的优势,并通过具体的教学案例展示了其应用场景。研究表明,Python数据可视化能显著提高学生的学习效果,为统计学的教学改革有一定的促进作用。With the development of information technology, Python has been widely used in the teaching of statistics courses. Traditional teaching methods often fail to intuitively help students understand abstract statistical concepts, while Python’s visualization tools can enhance students’ understanding of key concepts such as data statistics, probability distributions, and parameter estimation through graphical representation. This paper explores the application of Python data visualization in statistics education, analyzes its advantages in deepening students’ understanding of key concepts, problem analysis, and programming skills, and demonstrates its application scenarios through specific teaching cases. The research indicates that Python data visualization can significantly improve students’ learning outcomes and contribute to the reform of statistics education.
