摘要
随着数字经济的迅猛崛起,数据资源成为关键性生产要素。如何把数据资源充分转化为生产力,这是各行业不得不面对的问题,同时也给培养经管类专业学生数据获取、处理和分析的能力提出了更高要求。证券投资学课程中证券、上市公司的相关数据极为丰富,通过设计和实施基于Python的若干教学项目,将证券投资知识与数据获取、处理、分析相结合,使学生在“干中学”“用中学”,增强学习的积极性和主动性,进而实现专业素质与数据分析能力的融合。
With the rapid development of digital economy,data resources have become a key production factor.How to fully transform data resources into output is a problem faced by all industries,and it also puts forward higher requirements for the cultivation of students ability of data acquisition,processing and analysis.The course of securities investment is rich in data related to securities and listed companies.By designing and implementing several teaching projects based on Python,securities investment knowledge is combined with data acquisition,processing,and analysis,enabling students to learn through practice and application,so as to improve their learning enthusiasm and initiative,and realize the integration of professional quality and data analysis ability.
作者
李志萍
邵红岭
Li Zhiping;Shao Hongling(School of Management,Northeastern University at Qinhuangdao,Qinhuangdao 066004,China;College of Economics and Management,Hebei Agricultural University,Baoding 071000,China)
出处
《林区教学》
2024年第7期59-63,共5页
Teaching of Forestry Region
基金
河北省教育厅高等教育教学研究改革与实践项目“新文科背景下地方高校国际经济与贸易专业人才培养模式创新研究”(2022GJJG595)。
