UDC 378.014.6:007-057.875=111 | DOI: https://doi.org/10.31617/zt.knute.2019(104)11 | |
ROSKLADKA Andrii, E-mail: Ця електронна адреса захищена від спам-ботів. вам потрібно увімкнути JavaScript, щоб побачити її. ORCID: 0000-0002-1297-377X |
DSc (Economics), Professor, Head of cybernetics and system analysis department of Kyiv National University of Trade and Economics 19, Kyoto str., Kyiv, 02156, Ukraine |
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IVANOVA Olena, E-mail: Ця електронна адреса захищена від спам-ботів. вам потрібно увімкнути JavaScript, щоб побачити її. ORCID: 0000-0002-0904-7468 |
PhD (Economics), Associate Professor at cybernetics and system analysis department of Kyiv National University of Trade and Economics 19, Kyoto str., Kyiv, 02156, Ukraine |
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KULAZHENKO Volodymyr, E-mail: Ця електронна адреса захищена від спам-ботів. вам потрібно увімкнути JavaScript, щоб побачити її. ORCID: 0000-0002-3535-3442 |
PhD (Economics), Senior Lecturer at cybernetics and system analysis department of Kyiv National University of Trade and Economics 19, Kyoto str., Kyiv, 02156, Ukraine |
DATA SCIENTIST: A GLANCE INTO THE FUTURE
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.
Keywords: Data Scientist, Data Mining, Big Data, System Analysis, Artificial Intelligence, Business Intelligence, Intellectual Data Analysis.
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