大数据背景下用户行为数据分析课程教学改革研究

Research on Teaching Reform of User Behavior Data Analysis Course under the Background of Big Data

随着大数据、云计算、互联网技术的快速发展,面向不同网民用户的网络媒介大量涌现,与之而来产生出大量的用户行为数据信息,如何针对海量化大数据进行自动收集、整合与可视化分析,成为数据分析课程教学关注的主要方向。通过基于Python软件数据抓取工具,可针对挖掘、爬取用户行为文本数据的执行历程,设置网络数据信息采集、机器学习、可视化分析的教学环节,对学生展开大数据技术、文本挖掘流程、可视化呈现方式的教学,优化课程教学情境、教学内容、演示实践方式、师生交互模式,帮助学生掌握用户行为数据爬取技术、大数据分析流程,以培养出符合行业需求的大数据统计与分析人才。

With the rapid development of big data,cloud computing and Internet technology,the network media of different Internet users have begun to emerge in large numbers,and a large amount of user behavior data information has been generated.How to automatically collect,integrate and visually analyze massive big data has become the main focus of data analysis course teaching.With the data capture tool based on Python software,the teaching links of network data information collection,machine learning and visual analysis can be set according to the execution process of mining and crawling user behavior text data,and the teaching of big data technology,text mining process and visual presentation mode can be carried out for students,so as to optimize the teaching situation,teaching content,demonstration practice mode and teacher-student interaction mode,help students master the user behavior data crawling technology and big data analysis process,so as to cultivate big data statistics and analysis talents that meet the needs of the industry.