{"id":8341,"date":"2021-02-25T10:54:29","date_gmt":"2021-02-25T10:54:29","guid":{"rendered":"https:\/\/seguridadblindes.com\/?p=8341"},"modified":"2023-12-28T21:44:51","modified_gmt":"2023-12-28T21:44:51","slug":"trabalhar-como-data-analyst-tarefas-salario","status":"publish","type":"post","link":"https:\/\/seguridadblindes.com\/?p=8341","title":{"rendered":"Trabalhar como data analyst: tarefas, sal\u00e1rio, oportunidades e vagas"},"content":{"rendered":"<p>Os programas de ci\u00eancias de dados est\u00e3o baseados em&nbsp; Python, com foco em algoritmos de Ci\u00eancia da Informa\u00e7\u00e3o e Machine Learning. A taxa de matr\u00edcula varia de acordo com o programa escolhido, mas come\u00e7a em cerca de US $ 3.000 e as bolsas de estudo est\u00e3o dispon\u00edveis para estudantes qualificados. A&nbsp;NYC Data Science Academy&nbsp;\u00e9 dirigida a cientistas de dados mais experientes, j\u00e1 com gradua\u00e7\u00e3o de mestrado ou doutorado. Os cursos incluem treinamento em R, Python, Hadoop, GitHub e SQL com foco na aplica\u00e7\u00e3o do mundo real.<\/p>\n<p>Aprenda a transformar dados em insights \u00fateis e consiga um trabalho como analista de dados. Torne-se um desenvolvedor de software e crie aplica\u00e7\u00f5es web da database at\u00e9 a interface do usu\u00e1rio. Com o lan\u00e7amento do novo Bootcamp Data Analyst, da Wild Code School, escola de forma\u00e7\u00e3o com mais de uma d\u00e9cada de experi\u00eancia e mais de 20 campus espalhados um pouco por toda a Europa, incluindo Portugal, estes desejos podem tornar-se uma realidade. SimN\u00e3o &#8211; Autorizo que utilizem os meus dados pessoais, para futuros contactos. A viola\u00e7\u00e3o, ou tentativa de viola\u00e7\u00e3o, de bases de dados obtidas atrav\u00e9s do S\u00edtio ter\u00e1 como consequ\u00eancia a imediata responsabiliza\u00e7\u00e3o judicial do(s) infrator(es).<\/p>\n<h2>meses para te tornares um Data Analyst!<\/h2>\n<p>A Wild Code School oferece uma variedade de op\u00e7\u00f5es financeiras para ajudar os alunos a prosseguirem a sua forma\u00e7\u00e3o em programa\u00e7\u00e3o e a embarcarem numa carreira gratificante na ind\u00fastria tecnol\u00f3gica. Reconhecendo que as restri\u00e7\u00f5es financeiras n\u00e3o devem ser uma barreira \u00e0 aprendizagem, esfor\u00e7amo-nos por tornar os nossos programas acess\u00edveis a todos.Para saber quais as op\u00e7\u00f5es de financiamento contacta a nossa equipa. Se voc\u00ea busca aprendizagem r\u00e1pida, intensiva e com materiais baseados no que a \u00e1rea de an\u00e1lise de dados usa no dia a dia, o curso online do bootcamp de programa\u00e7\u00e3o da TripleTen \u00e9 a melhor op\u00e7\u00e3o. Gostas de trabalhar com dados num ambiente de trabalho estruturado?<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"307px\" alt=\"bootcamp analista de dados\"\/><\/p>\n<p>Por exemplo, se tiveres uma licenciatura, os teus ganhos ser\u00e3o inferiores aos de um data analyst com um mestrado ou doutoramento. Um diploma \u00e9 o requisito m\u00ednimo, e precisas de mais qualifica\u00e7\u00f5es para garantires um melhor pacote de compensa\u00e7\u00e3o. A especializa\u00e7\u00e3o em modela\u00e7\u00e3o estat\u00edstica ou conce\u00e7\u00e3o de informa\u00e7\u00e3o tamb\u00e9m melhora as tuas perspetivas salariais. Em apenas 2 a 6 meses, voc\u00ea vai adquirir as compet\u00eancias necess\u00e1rias para uma carreira de sucesso na \u00e1rea de ci\u00eancia de dados. Aprender a criar modelos de machine learning e de IA e implementar-los em produ\u00e7\u00e3o colaborando com seu time. Colocaste a responsabilidade da tua educa\u00e7\u00e3o nas nossas m\u00e3os e esse \u00e9 um compromisso que levamos muito a s\u00e9rio.<\/p>\n<h2>Data Science Para Todos<\/h2>\n<p>Se voc\u00ea est\u00e1 entrando no mercado de Dados pela  primeira vez, Sua Mentoria de Carreira ajudar\u00e1 voc\u00ea a entender e navegar o mercado de oportunidades e identificar seu lugar nele. O Data Application Lab&nbsp;\u00e9 outro bootcamp em tempo integral, em Los Angeles e no Silicon Valley, mas tamb\u00e9m oferece op\u00e7\u00f5es online . Os programas se concentram em preparar os alunos para atender as \u201cnecessidades <a href=\"https:\/\/www.folhapatoense.com\/2023\/12\/27\/bootcamp-de-programacao-sua-carreira-e-na-tecnologia-nao-na-matematica\/\">bootcamp de programa\u00e7\u00e3o<\/a> pr\u00e1ticas da ind\u00fastria\u201d. Os cursos usam palestras, experi\u00eancia pr\u00e1tica e projetos de laborat\u00f3rio para acelerar o processo de aprendizagem. Se o candidato tem pouca experi\u00eancia em ci\u00eancia da computa\u00e7\u00e3o, eles tamb\u00e9m oferecem uma aula de programa\u00e7\u00e3o e um est\u00e1gio de 10 semanas. Ele se concentra em fornar cientistas de dados que queiram trabalhar em \u00e1reas como educa\u00e7\u00e3o, sa\u00fade e energia.<\/p>\n<ul>\n<li>Os nossos graduados s\u00e3o logo contratados por grandes empresas e startups em todo o mundo.<\/li>\n<li>O candidato aprender\u00e1 os fundamentos da Ci\u00eancia dos Dados, incluindo Python, estat\u00edsticas e Machine Learning atrav\u00e9s de estudos de caso do mundo real.<\/li>\n<li>A recupera\u00e7\u00e3o, limpeza e an\u00e1lise de dados s\u00e3o realizadas tanto por analistas de dados quanto por cientistas de dados.<\/li>\n<\/ul>\n<p>A Metis&nbsp;tem campus em Nova York e S\u00e3o Francisco, onde os estudantes podem participar de oficinas intensivas de Ci\u00eancia de Dados. Os programas t\u00eam dura\u00e7\u00e3o de 12 semanas e incluem instru\u00e7\u00f5es no local, treinamento de carreira e suporte para ajudar os alunos a tirar o melhor de suas habilidades rec\u00e9m-adquiridas. Os programas da Metis s\u00e3o baseados em projetos e se concentram nas habilidades do mundo real que os graduados podem levar com eles para uma carreira na Ci\u00eancia dos Dados. Aqueles que completam o programa podem esperar um conhecimento aprofundado das modernas ferramentas de dados, acesso a uma extensa rede de profissionais da ind\u00fastria e suporte cont\u00ednuo de carreira. Podem ser poderosos, podem ser mal-utilizados, e podem at\u00e9 ser belos. Ao dominar o poder de dados em sua ess\u00eancia mais rudimentar, voc\u00ea ser\u00e1 capaz de descobrir novos insights, oferecer respostas e influenciar decis\u00f5es aonde quer que voc\u00ea v\u00e1.<\/p>\n<h2>Bootcamp de Certifica\u00e7\u00e3o DSA 4.0<\/h2>\n<p>\u00c9 um dos programas mais curtos nesta lista, com apenas cinco dias de dura\u00e7\u00e3o, e promete capacitar os participantes em Machine Learning e nos modelos preditivos como servi\u00e7o, e cada aluno completar\u00e1 um projeto IOT completo e ter\u00e1 a chance de entrar em uma competi\u00e7\u00e3o Kaggle. O processo come\u00e7a quando envias tua a inscri\u00e7\u00e3o, com a escolha do Bootcamp, campus e data de in\u00edcio. Em seguida, ter\u00e1s que fazer uma entrevista pessoal com o <a href=\"https:\/\/www.hojemais.com.br\/andradina\/noticia\/geral\/curso-de-cientista-de-dados-garanta-sua-estabilidade-no-mercado-de-trabalho\">https:\/\/www.hojemais.com.br\/andradina\/noticia\/geral\/curso-de-cientista-de-dados-garanta-sua-estabilidade-no-mercado-de-trabalho<\/a> Admissions Manager. Nessa entrevista, avaliaremos o teu grau de motiva\u00e7\u00e3o, o teu caminho profissional e os teus objetivos. Este \u00e9 tamb\u00e9m o momento para responder \u00e0 tuas d\u00favidas e fornecer informa\u00e7\u00f5es personalizadas.Se passares para a etapa seguinte, ir\u00e1s precisar de fazer um teste online que avaliar\u00e1 as tuas capacidades l\u00f3gicas e anal\u00edticas. A recupera\u00e7\u00e3o e an\u00e1lise de dados s\u00e3o realizadas por data analysts e data scientists.<\/p>\n<ul>\n<li>O curso integral tem carga hor\u00e1ria de cinco dias por semana durante 14 semanas, enquanto o curso parcial oferece aulas duas noites por semana durante 24 semanas.<\/li>\n<li>Coordenador e professor do maior bootcamp da Europa, o Data Science Retreat, em Berlim, onde treinou mais de 120 alunos nos \u00faltimos 3 anos.<\/li>\n<li>\u00c9 formado em Inform\u00e1tica e Tecnologia da Informa\u00e7\u00e3o pela Universidade do Estado do Rio de Janeiro.<\/li>\n<li>Normalmente, o perfil dos nossos alunos \u00e9 de Analista de Dados J\u00fanior.<\/li>\n<\/ul>\n<p>Este \u00e9 um trabalho em expans\u00e3o, o que eleva a procura e cria uma tend\u00eancia de crescimento salarial. Al\u00e9m disso, b\u00f3nus fornecidos pela empresa e horas extraordin\u00e1rias que trabalhes poder\u00e3o ser benef\u00edcios para o teu rendimento mensal. Poder\u00e1s ainda ter outros  benef\u00edcios dependendo do cargo espec\u00edfico que ocupas e das tuas responsabilidades.<\/p>\n<h2>Analista de dados: O que faz e qual curso escolher?<\/h2>\n<p>O programa tem apenas uma classifica\u00e7\u00e3o de cinco estrelas no Switchup, provavelmente devido ao seu nicho de mercado, ent\u00e3o voc\u00ea pode querer pesquisar mais para determinar se \u00e9 o melhor para suas necessidades. Torna-te num analista de dados com o nosso bootcamp de Data Analytics. Adquire conhecimentos s\u00f3lidos em Git, Python e MySQL e aplica-os nos teus pr\u00f3prios projectos.<\/p>\n<div style='text-align:center'><iframe width='566' height='314' src='https:\/\/www.youtube.com\/embed\/rGx1QNdYzvs' frameborder='0' alt='bootcamp analista de dados' allowfullscreen><\/iframe><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Os programas de ci\u00eancias de dados est\u00e3o baseados em&nbsp; Python, com foco em algoritmos de Ci\u00eancia da Informa\u00e7\u00e3o e Machine Learning. A taxa de matr\u00edcula&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[35],"tags":[],"_links":{"self":[{"href":"https:\/\/seguridadblindes.com\/index.php?rest_route=\/wp\/v2\/posts\/8341"}],"collection":[{"href":"https:\/\/seguridadblindes.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/seguridadblindes.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/seguridadblindes.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/seguridadblindes.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8341"}],"version-history":[{"count":1,"href":"https:\/\/seguridadblindes.com\/index.php?rest_route=\/wp\/v2\/posts\/8341\/revisions"}],"predecessor-version":[{"id":8342,"href":"https:\/\/seguridadblindes.com\/index.php?rest_route=\/wp\/v2\/posts\/8341\/revisions\/8342"}],"wp:attachment":[{"href":"https:\/\/seguridadblindes.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8341"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/seguridadblindes.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8341"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/seguridadblindes.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8341"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}