建设性的
培训(气象学)
价值(数学)
计算机科学
按需
数据科学
工程管理
知识管理
业务
营销
工程类
多媒体
过程(计算)
机器学习
气象学
操作系统
物理
出处
期刊:Pacific international journal
[Research Center of Life and Social Science]
日期:2022-12-31
卷期号:5 (4): 188-199
标识
DOI:10.55014/pij.v5i4.279
摘要
The advent of the information age has given rise to a huge amount of data, and it becomes crucial to use the data well and bring its value into play. How colleges and universities train data science talents to meet the huge demand of the industry is of great significance. In this paper, the demand information of data science talents from recruitment websites was crawled by a typical web scraper and then carried out pre-processing, statistical analysis, and visual display. Through fully excavating the job information and summarizing the law of enterprise demand, constructive suggestions were put forward for data science talent training in colleges and universities, providing a reference basis for talent training units to develop training programs.
科研通智能强力驱动
Strongly Powered by AbleSci AI