大数据时代的数据科学家培养
大数据时代,最热门的职业是数据科学家（data scientist）,而不是传统的信息科学家,也不是大数据工程师。大数据热潮促进了数据科学（data science）研究进入快速发展期,数据科学家的培养也受到广泛重视,越来越多的大学启动数据科学学位培养计划,但值得注意的是,当前数据科学家培养的基础条件缺乏,其知识结构、学科体系、人才培养计划尚未建立。结合大数据时代的人才要求,给出了科学、系统的数据科学人才知识体系,提出了超学科、多类型的培养模式。...
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| Published in | 大数据 no. 3; pp. 106 - 112 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
2016
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| Subjects | |
| Online Access | Get full text |
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| Summary: | 大数据时代,最热门的职业是数据科学家（data scientist）,而不是传统的信息科学家,也不是大数据工程师。大数据热潮促进了数据科学（data science）研究进入快速发展期,数据科学家的培养也受到广泛重视,越来越多的大学启动数据科学学位培养计划,但值得注意的是,当前数据科学家培养的基础条件缺乏,其知识结构、学科体系、人才培养计划尚未建立。结合大数据时代的人才要求,给出了科学、系统的数据科学人才知识体系,提出了超学科、多类型的培养模式。 |
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| Bibliography: | 10-1321/G2 data science; data scientist; talents training; big data ZHU Yangyong1,2, XIONG Yun1,2（ 1. School of Computer Science, Fudan University, Shanghai 200433, China 2. Shanghai Key Lab of Data Science, Shanghai 200433, China） In the age of big data, data scientist has become a hot occupation, supplanting traditional information scientist and big data engineer. Big data boom has been pushing data science research into fast development phase. How to train data scientists has been paid widespread attentions. Many universities launched data science degree training plans. The current situations in data scientists training were analyzed. The achievements of training data scientists in Fudan University were summarized. A systematical data scientists training plan was proposed. |
| ISSN: | 2096-0271 |