Identification and Comparative Analysis of the Skills Structure of the Data Analyst Profession in Russia

Autor/inn/en	Skhvediani, Angi; Sosnovskikh, Sergey; Rudskaia, Irina; Kudryavtseva, Tatiana
Titel	Identification and Comparative Analysis of the Skills Structure of the Data Analyst Profession in Russia
Quelle	In: Journal of Education for Business, 97 (2022) 5, S.295-304 (10 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Skhvediani, Angi) ORCID (Sosnovskikh, Sergey) ORCID (Rudskaia, Irina) ORCID (Kudryavtseva, Tatiana)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0883-2323
DOI	10.1080/08832323.2021.1937018
Schlagwörter	Data Analysis; Employment Qualifications; Higher Education; Curriculum Development; Specialists; Data Collection; Foreign Countries; Information Technology; Decision Making; Professional Education; Programming Languages; Web Sites; Job Applicants; Advertising; Social Networks; Network Analysis; Russia + Suchen Sie Ihr Suchwort? Auswertung; Employment qualification; Vocational qualification; Vocational qualifications; Berufliche Qualifikation; Hochschulbildung; Hochschulsystem; Hochschulwesen; Curriculum; Development; Curriculumentwicklung; Lehrplan; Entwicklung; Data capture; Datensammlung; Ausland; Informationstechnologie; Decision-making; Entscheidungsfindung; Berufsausbildung; Web-Design; Bewerber; Werbung; Social network; Soziales Netzwerk; Netzplantechnik; Russland
Abstract	The development of digital technologies has created a market need for specialists working with the big data that is necessary for making management decisions. This study aims to identify the skills structure of the data analyst profession (DAP) in Russia. The authors used a program code written in Python to examine relevant vacancies extracted from a recruitment website and employed a social network analysis method to identify skill clusters. Findings suggest that the DAP consists of predominately hard skills, that is, specialists must have the technical skills required to collect and process information. These results could be used to develop a Higher Education curriculum in data analysis. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01