Data Science and Big Data Technology Professional Talent Demand and Training System Construction
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DOI: 10.25236/icess.2019.021
Author(s)
Feng Liu, Weiwei Guo, Hui Wang and Xiaoyan Li
Corresponding Author
Feng Liu
Abstract
Data science and big data technology are emerging interdisciplinary subjects. They are facing problems such as insufficient training of talents and industry needs, inaccurate curriculum systems, and inaccurate personnel training. Based on these many problems, combined with the needs of new engineering talents training, combined with the regional characteristics of the Northeast region and the development of the big data industry, the article has in-depth research on the cooperation model of cooperation with enterprises, from the talent training objectives and Starting from the training of standards, we have established a training system for talents in data science and big data technology to improve the quality of personnel training.
Keywords
Data Science and Big Data Technology, Talent Cultivation, Practical Ability