{"id":2058,"date":"2021-05-01T14:15:25","date_gmt":"2021-05-01T11:15:25","guid":{"rendered":"https:\/\/wawiwa-tech.com\/?p=2058"},"modified":"2022-03-10T20:19:34","modified_gmt":"2022-03-10T18:19:34","slug":"data-professionals-wanted-data-scientists-data-analysts-and-the-difference-between-them","status":"publish","type":"post","link":"https:\/\/wawiwa-tech.com\/pt\/blog\/tech-jobs\/data-professionals-wanted-data-scientists-data-analysts-and-the-difference-between-them\/","title":{"rendered":"Procura-se profissionais de dados: Cientistas de dados, analistas de dados e a diferen\u00e7a entre eles!"},"content":{"rendered":"
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No oceano digital de hoje, os dados s\u00e3o a \u00e1gua em que nadamos. Nossa tecnologia registra e rastreia todas as a\u00e7\u00f5es digitais.<\/span> Atualmente, as empresas podem acumular e analisar grandes quantidades de dados comerciais valiosos e orientar a si mesmas e a seus produtos em rela\u00e7\u00e3o \u00e0s tend\u00eancias futuras. Como os dados est\u00e3o no centro de tudo o que fazemos, h\u00e1 uma enorme demanda por talentos relacionados a dados.\u00a0<\/span><\/p>

Os analistas e cientistas de dados t\u00eam a tarefa de entender a imensa quantidade de dados dispon\u00edveis e criar valor a partir deles, analisando, fazendo previs\u00f5es e sugerindo recomenda\u00e7\u00f5es para otimizar os recursos e o potencial de uma empresa. As vagas para analistas de dados e cientistas de dados sobrecarregam o mercado de trabalho atual.\u00a0<\/span><\/p>

A Comiss\u00e3o Europeia estima que 100.000 novos empregos na \u00e1rea de dados foram criados somente em 2020. O cargo #1 da Glassdoor \u00e9 Cientista de dados. Os cientistas e analistas de dados s\u00e3o procurados em todos os setores, mas, no momento, os maiores interessados em profissionais de dados s\u00e3o os setores financeiro, de seguros e, obviamente, o setor de tecnologia. O problema \u00e9 que n\u00e3o h\u00e1 analistas e cientistas de dados suficientes para preencher todas essas fun\u00e7\u00f5es.<\/span><\/p>

Cientistas de dados e analistas de dados (analistas de BI): Qual \u00e9 a diferen\u00e7a?\u00a0<\/b><\/h2>

Discutimos em um n\u00edvel elevado a demanda por esses dois cargos populares na \u00e1rea de dados, mas qual \u00e9 a diferen\u00e7a entre eles? O que eles fazem e quais habilidades s\u00e3o necess\u00e1rias para desempenhar cada fun\u00e7\u00e3o com sucesso?<\/span><\/p>

A<\/span> Analista de dados <\/b>\u00e9 essencialmente um analista de neg\u00f3cios com recursos de processamento de n\u00fameros. Tamb\u00e9m conhecidos como analistas de business intelligence (BI), sua principal tarefa \u00e9 examinar os dados acumulados do passado para identificar tend\u00eancias e criar visualiza\u00e7\u00f5es de dados que informem a estrat\u00e9gia de neg\u00f3cios. Os analistas de dados precisam ser proficientes em software de an\u00e1lise, software de visualiza\u00e7\u00e3o de dados e programas de gerenciamento de dados.\u00a0<\/span><\/p>

Eles n\u00e3o precisam necessariamente saber programar, mas precisam ter experi\u00eancia em tecnologia e saber como se conectar a v\u00e1rias fontes de dados e trabalhar com ferramentas de software avan\u00e7adas. Pensamento cr\u00edtico, an\u00e1lise rigorosa, boa vis\u00e3o de neg\u00f3cios e habilidades de apresenta\u00e7\u00e3o s\u00e3o habilidades necess\u00e1rias para essa fun\u00e7\u00e3o.<\/span><\/p>

Cientistas de dados<\/b> tamb\u00e9m s\u00e3o profissionais de interpreta\u00e7\u00e3o de dados, mas tamb\u00e9m precisam ter habilidades de codifica\u00e7\u00e3o e modelagem matem\u00e1tica. Os cientistas de dados s\u00e3o essencialmente programadores; eles conceituam e criam novos processos para modelagem de dados usando prot\u00f3tipos, algoritmos, modelos preditivos e an\u00e1lises personalizadas com o objetivo de antecipar necessidades futuras.\u00a0<\/span><\/p>

A principal linguagem de programa\u00e7\u00e3o dos cientistas de dados \u00e9 Python, e eles trabalham com v\u00e1rias ferramentas de an\u00e1lise de dados e de nuvem com nomes bonitos, como Numpy, Scipy, Matplotlib, Hadoop e Kaggle. As principais habilidades que os cientistas de dados precisam adquirir s\u00e3o a resolu\u00e7\u00e3o de problemas, o trabalho em equipe e o estudo aut\u00f4nomo.<\/span><\/p>

Onde est\u00e3o todos os profissionais de dados?<\/b><\/h2>

Empregado. A utiliza\u00e7\u00e3o do Big Data gera uma vantagem competitiva t\u00e3o valiosa que profissionais treinados em ci\u00eancia de dados e an\u00e1lise de dados est\u00e3o em alta demanda. <\/span>O cofundador do LinkedIn, Allen Blue, disse<\/span><\/a>\"H\u00e1 muito poucos cientistas de dados distribuindo seus curr\u00edculos. Quase todos os cientistas de dados j\u00e1 est\u00e3o empregados, porque s\u00e3o muito procurados\". De acordo com um estudo recente da <\/span>Pesquisa da Universidade de Villanova<\/span><\/a>Segundo a pesquisa, 82% das organiza\u00e7\u00f5es nos EUA afirmam que est\u00e3o planejando anunciar cargos que exigem experi\u00eancia em an\u00e1lise de dados.\u00a0<\/span><\/p>

Isso se soma a 72% das organiza\u00e7\u00f5es que j\u00e1 contrataram talentos para preencher cargos de an\u00e1lise em aberto no \u00faltimo ano. Ainda assim, 78% das empresas afirmam ter enfrentado desafios para preencher cargos abertos de an\u00e1lise de dados nos \u00faltimos 12 meses. <\/span>Mas as universidades simplesmente n\u00e3o est\u00e3o produzindo profissionais treinados com a rapidez necess\u00e1ria.\u00a0<\/span><\/p>

Programas de dados do Wawiwa Tech Training<\/b><\/h2>

A Wawiwa Tech Training \u00e9 um provedor israelense de educa\u00e7\u00e3o tecnol\u00f3gica que ajuda seus parceiros em todo o mundo a lidar com essa escassez de talentos por meio de dois programas separados para o treinamento de cientistas e analistas de dados. Todos os programas da Wawiwa enfatizam a pr\u00e1tica, que \u00e9 necess\u00e1ria para se tornar um profissional de dados pronto para o trabalho.\u00a0<\/span><\/p>

Programa de cientista de dados da Wawiwa<\/b><\/h3>
Wawiwa's Programa de cientista de dados<\/a> \u00e9 um ponto de entrada para o mundo da ci\u00eancia de dados para iniciantes e pessoas que est\u00e3o mudando de carreira, com habilidades matem\u00e1ticas e alguma experi\u00eancia em programa\u00e7\u00e3o. O programa abrange 340 horas acad\u00eamicas, durante 8 meses de estudos em meio per\u00edodo. Os alunos desenvolvem conhecimentos sobre estruturas de ci\u00eancia de dados (por exemplo, coleta e an\u00e1lise de dados, aprendizado de m\u00e1quina, aprendizado profundo), programa\u00e7\u00e3o (Python) e ferramentas de nuvem.<\/span><\/h6>

\u00a0O programa estabelece as habilidades dos alunos na compreens\u00e3o de dados, modelagem e apresenta\u00e7\u00e3o, por meio de exerc\u00edcios de ci\u00eancia de dados, laborat\u00f3rios e um projeto final. Ao final, os alunos podem projetar e criar um sistema completo de previs\u00e3o de dados, inclusive escrever uma tarefa de raspagem da Web para coletar dados de sites, armazenar e recuperar dados de v\u00e1rias fontes de dados, projetar e criar modelos de previs\u00e3o a partir dos dados e, por fim, implantar um modelo completo na nuvem.\u00a0<\/span><\/p>

Programa de analistas de dados da Wawiwa<\/b><\/h3>

Wawiwa's\u00a0<\/span>Programa de analista de dados<\/a>\u00a0prepara os alunos para o cargo inicial de analista de dados por meio de um programa de meio per\u00edodo de 250 horas e 6 meses. Os alunos desenvolvem conhecimentos sobre tecnologias l\u00edderes de mercado, formas de processar informa\u00e7\u00f5es, recursos de an\u00e1lise de dados, intelig\u00eancia comercial e muito mais.\u00a0<\/span><\/p>

T<\/span>programa estabelece as habilidades t\u00e9cnicas, anal\u00edticas e comerciais dos alunos, por meio de exerc\u00edcios pr\u00e1ticos e de um projeto final. Os formandos est\u00e3o mais do que preparados para assumir fun\u00e7\u00f5es de analista de BI que exigem o uso de Excel, Tableau, Anaconda e SQL.\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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No oceano digital de hoje, os dados s\u00e3o a \u00e1gua em que nadamos. Nossa tecnologia registra e rastreia cada a\u00e7\u00e3o digital. Atualmente, as empresas podem acumular e analisar grandes quantidades de dados comerciais valiosos e orientar a si mesmas e a seus produtos em rela\u00e7\u00e3o \u00e0s tend\u00eancias futuras. Como os dados est\u00e3o no centro de tudo o que fazemos, h\u00e1 uma enorme demanda por [...]<\/p>","protected":false},"author":1,"featured_media":2061,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[224],"tags":[109,105,108,153,106,107,20,101,99,22,43,45],"class_list":["post-2058","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-jobs","tag-big-data","tag-data","tag-data-analyst","tag-data-analytics","tag-data-science","tag-data-scientist","tag-jobs","tag-shortage","tag-skills","tag-tech","tag-technology","tag-training"],"acf":[],"yoast_head":"\nData Professionals Wanted: Data Scientists, Data Analysts, and the difference between them! - Wawiwa Tech<\/title>\n<meta name=\"description\" content=\"There's unsaturated demand for both Data Analysts and Data Scientists, but what\u2019s the difference between these two job roles? 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