Important Skills for Data Scientists in China: Two Delphi Studies,Journal of Computer Information Systems

当前位置： X-MOL 学术 › J. Comput. Inform. Syst. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Important Skills for Data Scientists in China: Two Delphi Studies
Journal of Computer Information Systems ( IF 2.5 ) Pub Date : 2018-05-18 , DOI: 10.1080/08874417.2018.1472047
Catherine Chen ₁ , Haoqiang Jiang ₂

Affiliation

ABSTRACT Big data has emerged as a powerful tool to provide unprecedented information to help businesses make good decisions; yet, in the infancy of the new field, it is not clear to most business professionals which skills are needed to be a successful data scientist. This research presents two Delphi studies, one gathered data from data scientists and one gathered data from university faculty, to gain consensus on the skills that were important to be a successful data scientist in China. Two-hundred-thirty skills were collected from the Faculty group, and two-hundred-six skills were identified by the Data Scientists group. Interquartile range (IQR) and a secondary criterion of 75% majority were used to determine consensus; the Wilcoxon matched-pairs test was used to determine stability. These two Delphi studies provide valuable consensus from both practitioners and university faculty to assist hiring managers and to provide references for curriculum planning.

更新日期：2018-05-18

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11