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Preliminary analysis of data science talents in Chinas online recruitment market using Web scrapping tool

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General Information Cached
Title
Preliminary analysis of data science talents in Chinas online recruitment market using Web scrapping tool
Type
Article
Main Author
Yang, Shiwei
Additional Authors
  • Ashardi Abas
Subject
T Technology (General)
Language Code
eng
Bibliographic Details
Place of Production
Tanjong Malim
Publisher
Fakulti Seni, Komputeran dan Industri Kreatif
Year of publication
2021
Degree Type
Not related
Corporate Name
Universiti Pendidikan Sultan Idris

Abstract

China implements a big data strategy, accelerates the construction of a digital China, and data science has entered a new and dynamic era. There is an increasing demand for data science talents from all walks of life. The main purpose is to obtain the market demand for data science talents, understand the demand for the data science talent market, and analyze the demand for data science talents. The research method uses Web Scrapping Tool to grab data science talent demand information from major domestic recruitment websites and then obtain data science talent demand through information analysis. Major findings preliminary assessed the data talent market in China from the aspects of geographic demand for data talents, company size, industry demand, and salary. Future research can use crawling information to join machine learning algorithms, in-depth study of the internal connection of China's data science talent needs, and provide suitable training programs for universities.

References

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