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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
[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
Zhao Ruihan , Huang Ruhua . Investigation and Analysis of MOOC of Data Analysis at Home and Abroad[J]. Library and Information Service, 2016 , 60(21) : 52 -60 . DOI: 10.13266/j.issn.0252-3116.2016.21.007
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