{"id":169270,"date":"2020-05-22T11:30:40","date_gmt":"2020-05-22T14:30:40","guid":{"rendered":"https:\/\/www.comboinfinito.com.br\/principal\/?p=169270"},"modified":"2024-04-08T16:21:25","modified_gmt":"2024-04-08T19:21:25","slug":"quer-trabalhar-com-ciencia-de-dados-aqui-estao-os","status":"publish","type":"post","link":"https:\/\/www.comboinfinito.com.br\/principal\/quer-trabalhar-com-ciencia-de-dados-aqui-estao-os\/","title":{"rendered":"Quer trabalhar com Ci\u00eancia de Dados? Aqui est\u00e3o os melhores cursos da Udemy para voc\u00ea Giz Brasil"},"content":{"rendered":"<p>O estudo de p\u00f3s-gradua\u00e7\u00e3o \u00e9 um  pr\u00e9-requisito para cientistas de dados, com cinco a sete anos de experi\u00eancia profissional. Eles fornecem uma boa compreens\u00e3o de programa\u00e7\u00e3o, t\u00e9cnicas de gerenciamento de dados, bancos de dados, an\u00e1lise preditiva e modelagem. Aspirantes a analistas de dados podem optar por aprimorar essas habilidades com estudos de p\u00f3s-gradua\u00e7\u00e3o, mas isso n\u00e3o \u00e9 um requisito obrigat\u00f3rio. Os cientistas de dados est\u00e3o mais focados no desenvolvimento de novos m\u00e9todos, sistemas de automa\u00e7\u00e3o, estruturas de dados e outras ferramentas para extrair os dados necess\u00e1rios para resolver problemas de neg\u00f3cios. Na \u00e1rea da sa\u00fade, os analistas de dados podem trabalhar em hospitais, cl\u00ednicas e empresas farmac\u00eauticas, analisando dados cl\u00ednicos para melhorar a efici\u00eancia dos tratamentos, identificar padr\u00f5es de doen\u00e7as e apoiar a pesquisa m\u00e9dica.<\/p><div id=\"combo-1833969885\" class=\"combo-paragrafo-1-2 combo-entity-placement\"><div style=\" margin: 10px auto;\">\r\n  <div style=\"text-align: center; \">\r\n    <span style=\"font-size: 10px; \">- PUBLICIDADE -<\/span>\r\n  <\/div>\r\n  <div class=\"pubad\" data-pos=\"LMR\" style=\"margin:0 auto; text-align: center; width: 336px; height: 280px;\"><\/div>\r\n<\/div><\/div>\n<div style='text-align:center'><\/div>\n<p>Este tutorial tem como objetivo responder a duas grandes quest\u00f5es &#8211; qual \u00e9 a diferen\u00e7a entre as duas profiss\u00f5es e qual voc\u00ea deve escolher? No entanto, para poder responder a essas perguntas, primeiro precisamos entender algumas informa\u00e7\u00f5es b\u00e1sicas. No come\u00e7o desse guia, falaremos brevemente sobre as duas especialidades separadamente. Feito isso, poderemos analisar, avaliar e comparar, de maneira eficaz, analistas de dados VS ci\u00eancia de dados. Atualmente, empresas de todos os segmentos conseguem minimizar custos, aumentar sua efici\u00eancia, identificar novas oportunidades de neg\u00f3cios e ganhar vantagem competitiva no mercado por meio da interpreta\u00e7\u00e3o e o uso adequado de dados.<\/p>\n<h2>A Awari \u00e9 a melhor plataforma para aprender sobre ci\u00eancia de dados no Brasil.<\/h2>\n<p>Na primeira edi\u00e7\u00e3o do Concurso Nacional Unificado tamb\u00e9m tivemos vagas para Cientistas de Dados. Outra biblioteca que considero importante \u00e9 a Matplotlib, para a visualiza\u00e7\u00e3o de dados. A organiza\u00e7\u00e3o, recupera\u00e7\u00e3o e manipula\u00e7\u00e3o eficiente <a href=\"https:\/\/www.noticiasdahora.com.br\/cidades\/outras-noticias\/dominando-o-qa-tecnicas-e-ferramentas-para-testagem-de-software.html\">Curso de QA<\/a> dos dados faz parte do processo di\u00e1rio nessa carreira. O mesmo acontece quando usamos vari\u00e1veis que n\u00e3o tem sentido nenhum com o problema e n\u00e3o tem um resultado efetivo quando temos um modelo estat\u00edstico ou de machine learning.<\/p>\n<ul>\n<li>Isso envolve descartar dados irrelevantes ou inutiliz\u00e1veis \u200b\u200be colocar dados limpos em um formato utiliz\u00e1vel.<\/li>\n<li>Ele trabalha com an\u00e1lise estat\u00edstica, machine learning e cria\u00e7\u00e3o de modelos estat\u00edsticos.<\/li>\n<li>Seguir se desenvolvendo no \u00e2mbito acad\u00eamico \u00e9 o que permitir\u00e1 que eles tenham as ferramentas adequadas para se destacar na profiss\u00e3o.<\/li>\n<li>Ambas as fun\u00e7\u00f5es exigem indiv\u00edduos apaixonados pelo setor, dada a quantidade de conhecimento especializado envolvido.<\/li>\n<li>Um feedback do cliente, o trajeto que voc\u00ea percorre at\u00e9 o trabalho, o tempo que as pessoas ficam conectadas na internet parecem apenas informa\u00e7\u00f5es sem import\u00e2ncia.<\/li>\n<\/ul>\n<p>Ser um cientista de dados significa possuir habilidades avan\u00e7adas de programa\u00e7\u00e3o, essenciais para aplicar conhecimentos na resolu\u00e7\u00e3o de problemas reais. O dom\u00ednio de ferramentas e t\u00e9cnicas de programa\u00e7\u00e3o \u00e9 fundamental para escrever e manipular c\u00f3digo, utilizar softwares especializados e aplicar modelos anal\u00edticos. Se interessar pela \u00e1rea de Ci\u00eancia de Dados \u00e9 f\u00e1cil,  afinal, analista de dados e cientista de dados est\u00e3o no topo da lista de carreiras promissoras para os pr\u00f3ximos anos. Al\u00e9m disso, outro atrativo s\u00e3o os sal\u00e1rios de cientistas de dados que tem uma m\u00e9dia de R$7.600, conforme informa\u00e7\u00f5es do Glassdoor. Aprenda a implementar algoritmos de busca e otimiza\u00e7\u00e3o, classificar documentos com processamento de linguagem natural, criar modelos de an\u00e1lises preditivas e aplica\u00e7\u00f5es web de intelig\u00eancia artificial, e muito mais.<\/p><div id=\"combo-2802173187\" class=\"combo-paragrafo-3 combo-entity-placement\"><div style=\" margin: 10px auto;\">\r\n  <div style=\"text-align: center; \">\r\n    <span style=\"font-size: 10px; \">- PUBLICIDADE -<\/span>\r\n  <\/div>\r\n  <div class=\"pubad\" data-pos=\"LMR\" style=\"margin:0 auto; text-align: center; width: 336px; height: 280px;\"><\/div>\r\n<\/div><\/div>\n<h2>\u00c9 dif\u00edcil ser um cientista de dados?<\/h2>\n<p>Outra considera\u00e7\u00e3o \u00e9tica importante na ci\u00eancia de dados \u00e9 a transpar\u00eancia e explicabilidade dos modelos. A Ci\u00eancia de Dados \u00e9 utilizada em diferentes \u00e1reas de uma empresa e tamb\u00e9m <a href=\"https:\/\/pordentrodeminas.com.br\/noticias\/gerais\/2024\/04\/analista-de-qa-tecnologias-ferramentas-e-qual-curso-escolher\/\">https:\/\/pordentrodeminas.com.br\/noticias\/gerais\/2024\/04\/analista-de-qa-tecnologias-ferramentas-e-qual-curso-escolher\/<\/a> em empresas de diferentes setores. Com essas bibliotecas voc\u00ea consegue fazer manipula\u00e7\u00f5es em tabelas, opera\u00e7\u00f5es matem\u00e1ticas, estat\u00edsticas e o b\u00e1sico da ci\u00eancia de dados.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='margin-left:auto;margin-right:auto' src=\"image\/jpeg;base64,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\" width=\"307px\" alt=\"analista e cientista de dados\" \/><\/p>\n<div id=\"combo-3597964105\" class=\"combo-depois-do-conteudo combo-entity-placement\"><div id=\"target-outbrain\"><\/div>\r\n<!--OUTBRAIN-->\r\n<script type=\"text\/javascript\">\r\n\/*smartfeed*\/\r\ndocument.getElementById(\"target-outbrain\").insertAdjacentHTML('afterEnd','<div class=\"OUTBRAIN\" data-src='+ location.href +' data-widget-id=\"GS_4\"style =\"width:80%;margin:auto;\"><\/div>');\r\n<\/script>\r\n<script type=\"text\/javascript\" async=\"async\" src=\"\/\/widgets.outbrain.com\/outbrain.js\"><\/script>\r\n<!--OUTBRAIN--> <\/div>","protected":false},"excerpt":{"rendered":"<p>O estudo de p\u00f3s-gradua\u00e7\u00e3o \u00e9 um pr\u00e9-requisito para cientistas de dados, com cinco a sete anos de experi\u00eancia profissional. Eles fornecem uma boa compreens\u00e3o de programa\u00e7\u00e3o, t\u00e9cnicas de gerenciamento de dados, bancos de dados, an\u00e1lise preditiva e modelagem. Aspirantes a analistas de dados podem optar por aprimorar essas habilidades com estudos de p\u00f3s-gradua\u00e7\u00e3o, mas isso [&hellip;]<\/p>\n","protected":false},"author":33,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_shortscore_rating":"","_shortscore_game":"","_shortscore_summary":"","footnotes":""},"categories":[241],"tags":[],"class_list":["post-169270","post","type-post","status-publish","format-standard","hentry","category-todas"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Quer trabalhar com Ci\u00eancia de Dados? Aqui est\u00e3o os melhores cursos da Udemy para voc\u00ea Giz Brasil - Combo Infinito<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.comboinfinito.com.br\/principal\/quer-trabalhar-com-ciencia-de-dados-aqui-estao-os\/\" \/>\n<meta name=\"author\" content=\"Sophia Freitas\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.comboinfinito.com.br\\\/principal\\\/quer-trabalhar-com-ciencia-de-dados-aqui-estao-os\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"In\u00edcio\",\"item\":\"https:\\\/\\\/www.comboinfinito.com.br\\\/principal\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Quer trabalhar com Ci\u00eancia de Dados? Aqui est\u00e3o os melhores cursos da Udemy para voc\u00ea Giz Brasil\"}]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Quer trabalhar com Ci\u00eancia de Dados? Aqui est\u00e3o os melhores cursos da Udemy para voc\u00ea Giz Brasil - Combo Infinito","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.comboinfinito.com.br\/principal\/quer-trabalhar-com-ciencia-de-dados-aqui-estao-os\/","author":"Sophia Freitas","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"BreadcrumbList","@id":"https:\/\/www.comboinfinito.com.br\/principal\/quer-trabalhar-com-ciencia-de-dados-aqui-estao-os\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"In\u00edcio","item":"https:\/\/www.comboinfinito.com.br\/principal\/"},{"@type":"ListItem","position":2,"name":"Quer trabalhar com Ci\u00eancia de Dados? Aqui est\u00e3o os melhores cursos da Udemy para voc\u00ea Giz Brasil"}]}]}},"_links":{"self":[{"href":"https:\/\/www.comboinfinito.com.br\/principal\/wp-json\/wp\/v2\/posts\/169270","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.comboinfinito.com.br\/principal\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.comboinfinito.com.br\/principal\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.comboinfinito.com.br\/principal\/wp-json\/wp\/v2\/users\/33"}],"replies":[{"embeddable":true,"href":"https:\/\/www.comboinfinito.com.br\/principal\/wp-json\/wp\/v2\/comments?post=169270"}],"version-history":[{"count":0,"href":"https:\/\/www.comboinfinito.com.br\/principal\/wp-json\/wp\/v2\/posts\/169270\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.comboinfinito.com.br\/principal\/wp-json\/wp\/v2\/media?parent=169270"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.comboinfinito.com.br\/principal\/wp-json\/wp\/v2\/categories?post=169270"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.comboinfinito.com.br\/principal\/wp-json\/wp\/v2\/tags?post=169270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}