文献类型：期刊文献

中文题名：新商科视域下Python数据分析实践课程建设优化研究

英文题名：Research on the Optimization of Python Data Analysis Practical Course Construction from the Perspective of New Business

作者：沈桂兰[1];李玉玲[2]

第一作者：沈桂兰

机构：[1]北京联合大学商务学院,北京100025;[2]北京联合大学生物化学工程学院,北京100023

第一机构：北京联合大学商务学院

年份：2025

卷号：14

期号：2

起止页码：69-74

中文期刊名：郑州师范教育

外文期刊名：Journal of Zhengzhou Normal Education

基金：北京联合大学教学改革项目“新商科视域下Python数据分析实践课程内容的优化与实践”(JJ2023Y016);北京联合大学通识核心课建设项目“图说北京:大数据可视化技术应用”

语种：中文

中文关键词：新商科;Python数据分析实践;课程建设

外文关键词：new business;Python Data Analysis Practical;course construction

摘要：分析了Python数据分析课程教学中存在的问题,如学生基础差异、课程内容融合挑战及教学方法和评价体系的不完善。针对这些问题提出了构建融合思政、学科和行业知识的内容体系,创新教学模式、强化师生互动、加强实践教学、完善多元化的评价体系。研究结果表明,课程建设优化后,学生的学习成效得到显著提升,不仅理论知识与实践技能有所增强,还在课程竞赛中取得了优异成绩。研究也为商科教育培养适应数字经济时代的人才提供了有益参考。
This paper analyzes the problems existing in the teaching of Python Data Analysis Practical course in China,such as students’basic differences,curriculum content integration challenges,and imperfect teaching methods and evaluation systems.In response to these problems,it is proposed to build a content system that integrates ideological and political,subject and industry knowledge,innovate teaching models to strengthen teacher-student interaction,strengthen practical teaching,and improve a diversified evaluation system.The research results show that after the optimization of curriculum construction,students’learning effectiveness has been significantly improved,not only theoretical knowledge and practical skills have been enhanced,but also excellent results have been achieved in curriculum competitions.The research also provides a useful reference for business education to cultivate talents adapted to the era of digital economy.