Excel和Python对比学习在Python数据分析课程中的运用  

Application of Excel and Python Comparative Learning in Python Data Analysis Course

作　　者：沈涵飞[1] SHEN Hanfei(Suzhou Industrial Park Institute of Services Outsourcing,Suzhou Jiangsu 215123,China)

机构地区：[1]苏州工业园区服务外包职业学院,江苏苏州215123

出　　处：《信息与电脑》2020年第22期249-251,共3页Information & Computer

基　　金：校本教材《Python程序设计与数据处理实例教程》(项目编号:19jc05)。

摘　　要：随着大数据时代的来临,数据分析在工作中越来越重要.Python是数据科学的主流开发语言,与Excel相比,具有独特的优势.但先学Python程序设计再学Python数据分析的学习路径,对非计算机相关专业的学生来说,存在很大的困难.本文提出了在课程中运用Excel和Python对比学习的教学方式,有助于降低课程的门槛,突出学习重点,在实践中获得了很好的教学效果.With the advent of the era of big data,data analysis is becoming more and more important in our work.Python is the mainstream development language of data science.Compared with Excel,Python has unique advantages.However,it is very difficult for non-computer related majors to learn Python programming first and then Python data analysis.This paper puts forward that using Excel and Python to teach in the course can help lower the threshold of the course,highlight the key points of learning,and achieve good teaching results in practice.

关 键 词：对比学习 数据分析教学 速查表 任务驱动 

分 类 号：TP311.13-4[自动化与计算机技术—计算机软件与理论] G642[自动化与计算机技术—计算机科学与技术]