收稿日期: 2016-08-23
修回日期: 2016-10-15
网络出版日期: 2016-11-05
基金资助
本文系武汉大学自主科研项目（人文社会科学）“促进我国数据开放共享的对策研究”研究成果之一，得到“中央高校基本科研业务费专项资金”资助。
Investigation and Analysis of MOOC of Data Analysis at Home and Abroad
Received date: 2016-08-23
Revised date: 2016-10-15
Online published: 2016-11-05
[目的/意义] 大数据时代下，迫切需要数据分析人才来从海量的数据中发掘信息、揭示规律并帮助人们决策。作为专业教育的补充，数据分析类MOOC可以在较短时间内满足人们对数据分析课程内容的学习需求，通过分析其发展现状，将有助于更好地培养数据分析人才和发展数据科学。[方法/过程] 主要采用网络调查法对国内外数据分析MOOC的开设情况进行调查，在此基础上从教学内容、教学方式和教学效果三个方面进行分析。[结果/结论] 调查发现，数据分析类MOOC存在着教学内容上传统与新兴知识并存，教学方式上理论知识与实践技能并重的特点。为了更好地适应大数据时代人才需求的特点，要积极探索合作机制，通过不同形式的合作促进数据分析MOOC的发展。
赵蕊菡 , 黄如花 . 国内外数据分析类MOOC调查与分析[J]. 图书情报工作, 2016 , 60(21) : 52 -60 . DOI: 10.13266/j.issn.0252-3116.2016.21.007
[Purpose/significance] In the big data age, data analysis talent is an urgent need to discover information from vast amounts of data, to reveal the rules and to help people to make decisions. As a supplement to the degree education, MOOCs in data analysis can meet the demand of data analysis course in a relatively short time. By analyzing the current situation of their development, it will be helpful for the training of data analysis talents and the development of data science. [Method/process] Based on online survey, the paper analyzes development of MOOC in data analysis at home and abroad, including teaching content, teaching methods and teaching effectiveness. [Result/conclusion] The survey finds that the data analysis MOOC has the characteristics of the juxtaposition of traditional teaching content and new teaching content, and the practice teaching is as important as classroom teaching. In order to better adapt to the growth in demand for big data talent, the data analysis MOOC should explore the cooperation mechanism actively to promote the development of data analysis MOOC through different forms of cooperation.
Key words： data analysis; MOOC; online education
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