Analiza kompetenc podatkovnega znanstvenika na primeru študija elektronskega poslovanja na Ekonomsko-poslovni fakultet v Mariboru

delo diplomskega projekta

Petra Sedlašek (Author), Simona Sternad (Mentor)

Abstract

Velike količine podatkov ter podatkovno znanost organizacije prepoznavajo kot konkurenčno prednost. Z zahtevami po novih načinih analiziranja podatkov se pojavljajo tudi zahteve po novih znanjih ter poklicih, kot je podatkovni znanstvenik. Po pregledu literature smo opredelili velike količine podatkov, prav tako pa tudi poklic podatkovnega znanstvenika ter izluščili glavna znanja, ki jih ta potrebuje. Ob natančnejši predstavitvi kompetenc smo predstavili še nekatere predmete smeri elektronskega poslovanja na Ekonomsko-poslovni fakulteti Univerze v Mariboru, pri katerih pridobimo znanja povezana s kompetencami podatkovnega znanstvenika. Namen diplomskega projekta je bilo opraviti primerjalno analizo ter ugotoviti v kolikšni meri elektronsko poslovanje pokriva kompetence podatkovnega znanstvenika. Na podlagi ocen smo ugotovili, da študij ne pokriva vseh kompetenc. Primanjkljaj znanja se pojavlja predvsem na strani programiranja in strojnega učenja. Dodali smo tudi nekaj priporočil, kako študij še bolj približati poklicu podatkovnega znanstvenika.

Keywords

elektronsko poslovanje;podatki;velike količine podatkov;podatkovni znanstveniki;kompetence;študij;

Data

Language:	Slovenian
Year of publishing:	2019
Typology:	2.11 - Undergraduate Thesis
Organization:	UM EPF - Faculty of Economics and Business
Publisher:	[P. Sedlašek]
UDC:	004.6:378
COBISS:	13491740
Views:	552
Downloads:	31
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Analysis of data scientist's competences on a case of e-business study at Faculty of Economics and Business, University of Maribor
Secondary abstract:	Big data and data science are recognized by organizations as a competitive advantage. Demands for new ways of analyzing data also create demands for new skills and professions, such as a data scientist. After reviewing the literature, we defined big data as well as the profession of data scientist, and extracted the main knowledge that the data scientist needed. Along with a more detailed presentation of competencies, we also presented some subjects of e-business study at the Faculty of Economics and Business, University of Maribor, in which we acquire knowledge related to the competences of a data scientist. The purpose of the project was to perform a comparative analysis and to determine the extent to which e-business covers the competencies of a data scientist. Based on the assessments, we found that the study does not cover all competences. The lack of knowledge is mainly due to programming and machine learning. We have also added some recommendations on how to bring e-business study closer to the profession of data scientist.
Secondary keywords:	e-business;big data;data scientist;data scientist's competences;
Type (COBISS):	Diploma project paper
Thesis comment:	Univ. v Mariboru, Ekonomsko-poslovna fak.
Pages:	II, 50 str.
ID:	11207783