[ "陈振冲(1959-),男,博士,香港理工大学学务长,电子计算学系教授。分别于1984年、1985年和1989年在加拿大滑铁卢大学计算机科学与统计学系获学士、系统设计工程方向硕士及博士学位,毕业后供职于IBM加拿大实验室,并于1994年加入香港理工大学电子计算学系担任教职工作至今。目前主要研究方向为大数据分析、生物信息学、计算生物学、数据挖掘、机器学习、模糊逻辑系统、遗传算法、人工智能以及软件工程。" ]
[ "贺田田(1985-),男,香港理工大学电子计算学系博士生,主要研究方向为数据挖掘、图聚类分析、生物信息学和遗传算法。" ]
网络首发:2016-09,
纸质出版:2016-09-20
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陈振冲, 贺田田. 数据科学人才的需求与培养[J]. 大数据, 2016,2(5):2016058.
CCCHAN Keith, Tiantian HE. Data science:the demand and development of talents[J]. Big data research, 2016, 2(5): 2016058.
陈振冲, 贺田田. 数据科学人才的需求与培养[J]. 大数据, 2016,2(5):2016058. DOI: 10.11959/j.issn.2096-0271.2016058.
CCCHAN Keith, Tiantian HE. Data science:the demand and development of talents[J]. Big data research, 2016, 2(5): 2016058. DOI: 10.11959/j.issn.2096-0271.2016058.
信息科技业已进入大数据时代。作为能够从大数据中挖掘知识的人才,数据科学家(data scientist)受到各行各业的青睐。首先从美国和中国主要的在线人才招聘平台收集数据,通过对比分析得出数据科学家与传统的数据分析师(data analyst)在工作性质、工作能力要求以及薪资待遇等方面的差别。其次,考察和总结了世界范围内优秀大学数据科学人才培养的概况,并与工业界的实际要求进行对比。根据以上两者之间的差异,就当前大学数据科学人才的培养提出了建议和对策。
Information technology has entered the era of big data.As talents who can discover the knowledge in big data
data scientists are tremendously demanded.The differences between data scientists and data analysts in the job nature
entry requirement and even remuneration were presented.Through a careful survey of the current job markets in the US and China.Then
it was revealed the gap between the kind of talents that were required for the jobs and the kind of graduates that the universities were training out.After a gap analysis
the views to the kind of data science programs which we believe may best develop the talents for the current and future job market were presented.
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