1 University of Library Studies and Information Technologies (BULGARIA)
2 American University in Bulgaria (AUB) (BULGARIA)
About this paper:
Appears in: ICERI2019 Proceedings
Publication year: 2019
Pages: 10935-10943
ISBN: 978-84-09-14755-7
ISSN: 2340-1095
doi: 10.21125/iceri.2019.2689
Conference name: 12th annual International Conference of Education, Research and Innovation
Dates: 11-13 November, 2019
Location: Seville, Spain
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. Аn area called "data science" аppeared, closely related to the data mining concept. "Data science" is a term that has entered 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 multidisciplinarity of the area. In result, is presented a review of the existing definitions and Fundamental Concept of Data Science. Тhe available opportunities for competency development in the Data Science area are discussed.
Data Science, Big Data, Data Scientist, Data Science Competences.