摘要
随着大数据时代的推进,社会对于统计人才提出了更高的要求。高校教学的深度和广度直接影响到学生在实际工作中应用统计的综合能力。该文基于大数据时代对经济统计专业核心能力的新要求,对人才培养模式加以探讨,以期为经济统计学专业应用型本科建设提供有益借鉴。
With the advancement of the era of big data, the society has put forward higher requirements for statistics talents. The depth and breadth of college teaching directly affect students’ comprehensive ability to apply statistics in practical work. Based on the new requirements of the era of big data on the core competence of the major of economic statistics, this paper discusses the training mode of talents, so as to provide useful references for the construction of application-oriented undergraduate courses of the major of economic statistics.
出处
《创新创业理论研究与实践》
2018年第7期68-70,共3页
The Theory and Practice of Innovation and Enterpreneurship
基金
上海市教委经济统计学专业应用型本科试点项目(项目编号:B1-12-2801-17-005Z)资助
关键词
大数据
经济统计学
人才培养模式
Big data
Economic statistics
Talent training mode
