Publicação

On understanding data scientists

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Detalhes bibliográficos
Resumo:Data is everywhere and in everything we do. While,on its own, data has little value, its analysis under the lenses ofdata science currently supports extremely valuable functions andsystems. In recent years, the need to obtain knowledge from hugeamounts of data lead companies to hire many professionals ableto work creatively on data for data science position, regardlessof their academic and professional background. Our analysisof the collected information allowed us to conclude that thereis still a need to distinguish professionals concerning their pastexperiences, since they impact the way they perform data sciencetasks and the technologies they use. The results of this researchare particularly useful for the scientific community and theindustry in the design of solutions that are effectively useful toall data science workers
Autores principais:Pereira, Paula
Outros Autores:Cunha, Jácome; Fernandes, João Paulo
Assunto:Data science Data scientist Interviews Data Scientists Ciências Naturais::Ciências da Computação e da Informação
Ano:2020
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:Data is everywhere and in everything we do. While,on its own, data has little value, its analysis under the lenses ofdata science currently supports extremely valuable functions andsystems. In recent years, the need to obtain knowledge from hugeamounts of data lead companies to hire many professionals ableto work creatively on data for data science position, regardlessof their academic and professional background. Our analysisof the collected information allowed us to conclude that thereis still a need to distinguish professionals concerning their pastexperiences, since they impact the way they perform data sciencetasks and the technologies they use. The results of this researchare particularly useful for the scientific community and theindustry in the design of solutions that are effectively useful toall data science workers

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