基于Python软件的统计课程教学探索与实践

Exploration and Practice on Teaching Statistics Courses Based on Python Software

摘要: 随着人工智能技术的快速发展，传统统计学软件(如SPSS、SAS和R)在本科统计课程教学中的局限性日益显现。本文以Python软件为基础，探讨其在统计学课程教学中的实践方案。相比传统统计软件，Python凭借其开源生态和跨学科优势，更适用于辅助统计学核心内容的教学。通过Python编程实践，学生不仅能加深对统计知识的理解，还能提升实际应用能力。此外，本文引入大语言模型DeepSeek作为教学辅助工具，验证其在Python代码生成与修改、数据分析支持以及个性化答疑等方面的赋能作用。该模式有望显著提升学生的编程能力和统计应用水平，为统计教学改革提供新的思路。

Abstract: With the rapid development of artificial intelligence technology, the limitations of traditional statistical software (such as SPSS, SAS, and R) in undergraduate statistics education have become increasingly evident. This paper explores a practical approach to integrating Python into statistics courses. Compared to traditional statistical software, Python’s open-source ecosystem and interdisciplinary advantages make it more suitable for supporting the teaching of core statistical concepts. Through Python programming practice, students can not only deepen their understanding of statistical knowledge but also enhance their practical application skills. Furthermore, this paper introduces the large language model DeepSeek as a teaching assistant tool, examining its role in Python code generation and modification, data analysis support, and personalized tutoring. This approach has the potential to significantly improve students’ programming and statistical application abilities, providing new insights for statistical education reform.