Data scientist: a glance into the future

Andrii ROSKLADKA; Olena IVANOVA; Volodymyr KULAZHENKO

doi:10.31617/zt.knute.2019(104)11

Authors

Andrii ROSKLADKA Kyiv National University of Trade and Economics https://orcid.org/0000-0002-1297-377X
Olena IVANOVA Kyiv National University of Trade and Economics https://orcid.org/0000-0002-0904-7468
Volodymyr KULAZHENKO Kyiv National University of Trade and Economics https://orcid.org/0000-0002-3535-3442

DOI:

https://doi.org/10.31617/zt.knute.2019(104)11

Keywords:

Data Scientist, Data Mining, Big Data, System Analysis, Artificial Intelligence, Business Intelligence, Intellectual Data Analysis

Abstract

A comprehensive system approach to determine the qualification characteristics of a data scientist, the newest profession in the field of data analysis, is presented.The inconsistency of traditional methods to overcome the problems of big data processing and the advantages of Data Mining technology in solving these problems has been proved. The examples of practical activity of data scientists were considered. The analysis of the training of analysts in the higher education system of Ukraine was conducted.

Author Biographies

Andrii ROSKLADKA, Kyiv National University of Trade and Economics

DSc (Economics), Professor, Head of cybernetics and system analysis

Olena IVANOVA, Kyiv National University of Trade and Economics

PhD (Economics), Associate Professor at cybernetics and system analysis

Volodymyr KULAZHENKO, Kyiv National University of Trade and Economics

PhD (Economics), Senior Lecturer at cybernetics and system analysis
department

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