Data Scientists’ Skills in Detecting Archetypes in Iran
The use of data-driven decision making and data scientists is on the rise in Iran as companies have rapidly been focusing on gathering data and analyzing it to guide corporate decisions. In order to facilitate the process and understand the nature and characteristics of this transformation, the curr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Politeknik Negeri Padang
2017-05-01
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| Series: | JOIV: International Journal on Informatics Visualization |
| Subjects: | |
| Online Access: | http://joiv.org/index.php/joiv/article/view/17 |
| _version_ | 1828857050166198272 |
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| author | Hamideh Iraj Babak Sohrabi |
| author_facet | Hamideh Iraj Babak Sohrabi |
| author_sort | Hamideh Iraj |
| collection | DOAJ |
| description | The use of data-driven decision making and data scientists is on the rise in Iran as companies have rapidly been focusing on gathering data and analyzing it to guide corporate decisions. In order to facilitate the process and understand the nature and characteristics of this transformation, the current study intends to learn about data scientists’ skills and archetypes in Iran. Detecting skills archetypes has been done via analyzing the skills of data scientists which were self-expressed through an online survey. The results revealed that there are three archetypes of data scientists including high level data scientists, low level data scientists and software developers. The archetypal patterns are based on levels of data scientists’ skills rather than the type of dominant skills they possess which was the most frequent pattern in previous studies. |
| first_indexed | 2024-12-13T01:28:10Z |
| format | Article |
| id | doaj.art-437a6fd2d57d488b9cdfd6eb446668eb |
| institution | Directory Open Access Journal |
| issn | 2549-9610 2549-9904 |
| language | English |
| last_indexed | 2024-12-13T01:28:10Z |
| publishDate | 2017-05-01 |
| publisher | Politeknik Negeri Padang |
| record_format | Article |
| series | JOIV: International Journal on Informatics Visualization |
| spelling | doaj.art-437a6fd2d57d488b9cdfd6eb446668eb2022-12-22T00:04:04ZengPoliteknik Negeri PadangJOIV: International Journal on Informatics Visualization2549-96102549-99042017-05-0112273210.30630/joiv.1.2.177Data Scientists’ Skills in Detecting Archetypes in IranHamideh Iraj0Babak Sohrabi1University of TehranUniversity of TehranThe use of data-driven decision making and data scientists is on the rise in Iran as companies have rapidly been focusing on gathering data and analyzing it to guide corporate decisions. In order to facilitate the process and understand the nature and characteristics of this transformation, the current study intends to learn about data scientists’ skills and archetypes in Iran. Detecting skills archetypes has been done via analyzing the skills of data scientists which were self-expressed through an online survey. The results revealed that there are three archetypes of data scientists including high level data scientists, low level data scientists and software developers. The archetypal patterns are based on levels of data scientists’ skills rather than the type of dominant skills they possess which was the most frequent pattern in previous studies.http://joiv.org/index.php/joiv/article/view/17Data scienceData scientistsArchetypesskills |
| spellingShingle | Hamideh Iraj Babak Sohrabi Data Scientists’ Skills in Detecting Archetypes in Iran JOIV: International Journal on Informatics Visualization Data science Data scientists Archetypes skills |
| title | Data Scientists’ Skills in Detecting Archetypes in Iran |
| title_full | Data Scientists’ Skills in Detecting Archetypes in Iran |
| title_fullStr | Data Scientists’ Skills in Detecting Archetypes in Iran |
| title_full_unstemmed | Data Scientists’ Skills in Detecting Archetypes in Iran |
| title_short | Data Scientists’ Skills in Detecting Archetypes in Iran |
| title_sort | data scientists skills in detecting archetypes in iran |
| topic | Data science Data scientists Archetypes skills |
| url | http://joiv.org/index.php/joiv/article/view/17 |
| work_keys_str_mv | AT hamidehiraj datascientistsskillsindetectingarchetypesiniran AT babaksohrabi datascientistsskillsindetectingarchetypesiniran |