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DATA SCIENCE: CHALLENGES AND TRENDS
被引:0
|作者:
Rasheva-Yordanova, K.
[1
]
Toleva-Stoimenova, S.
[1
]
Christozov, D.
[2
]
机构:
[1] Univ Lib Studies & Informat Technol, Sofia, Bulgaria
[2] Amer Univ Bulgaria, Blagoevgrad, Bulgaria
关键词:
Data Science;
Big Data;
Data Scientist;
Data Science Competences;
D O I:
暂无
中图分类号:
G40 [教育学];
学科分类号:
040101 ;
120403 ;
摘要:
With the vast amounts of data available in the world, most companies today are focusing on data usage to identify the strengths, weaknesses, and opportunities in business. An area called "Data Science", closely related to the Data Mining concept. "Data science" is a term that has been in the public perception and imagination only since the first half of the decade, but today it is extremely popular in science, practice, and education. It includes tools, methods, and systems applied to Big Data to leverage knowledge for decision-making. Based on the literature review and initial findings, this research study found that there are differences in the understanding of the term "Data Science" by academics and practitioners. This article aims to outline, on the one hand, a comprehensive framework of Data Science competences and on the other to sum up the inter- and multi-disciplinarity characteristics of the area. In result, a review of the existing definitions and fundamental concept of Data Science is presented. Explored identified directions for development of Data Science competency are discussed.
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页码:10935 / 10943
页数:9
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