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  • 标题:BIG DATA AND BUSINESS ANALYTICS IN A BLENDED COMPUTING-BUSINESS DEPARTMENT
  • 本地全文:下载
  • 作者:Michael Hilgers ; Sarah Stanley ; Cassandra Elrod
  • 期刊名称:Issues in Information Systems
  • 印刷版ISSN:1529-7314
  • 出版年度:2015
  • 卷号:16
  • 期号:1
  • 页码:200-209
  • 出版社:International Association for Computer Information Systems
  • 摘要:The need for trained graduates in various aspects of "big data" is noted and three roles are identified: Data Scientist, Data Analyst, and Data Explorer. The activities that each of these specialists is likely to undertake is specified and the quantitative, computer, and business skills tha t each would require is noted. Tradi tional business and information science/technology (BIT) degrees are examined, including especially degrees from hybrid combined bus iness and technology programs. After examin ing the details of quantitative, computer, and business skills required, it appea rs that BIT graduates require additional skills . Three hybrid courses that provide additional strength in the skills needed are proposed: Introduction to Data Science and Management, Business Analytics and Data Science, and Data Science Programming in Pyt h on. By adding these courses, it is believed that BIT degree graduates could operate as data analysts or data explorers and contribute to filling the needs for big data expertise in industry.
  • 关键词:Big Data; Business Analytics; Curriculum Development; ; Python
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