{"id":36808,"date":"2019-10-31T22:13:56","date_gmt":"2019-10-31T19:13:56","guid":{"rendered":"https:\/\/prohoster.info\/blog\/kurs-start-v-data-science-pervyj-shag-v-rabote-s-dannymi\/"},"modified":"2019-10-31T22:13:56","modified_gmt":"2019-10-31T19:13:56","slug":"kurs-start-v-data-science-pervyj-shag-v-rabote-s-dannymi","status":"publish","type":"post","link":"https:\/\/prohoster.info\/pt\/blog\/news\/kurs-start-v-data-science-pervyj-shag-v-rabote-s-dannymi","title":{"rendered":"Curso \"Introdu\u00e7\u00e3o \u00e0 Data Science\": o primeiro passo no trabalho com dados","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Estamos lan\u00e7ando um novo curso para iniciantes \u2014 \"<noindex><a rel=\"nofollow\" href=\"https:\/\/netology.ru\/programs\/start-ds?utm_source=blog&amp;utm_medium=1492&amp;utm_campaign=bds_obds_ou_habr_19072019startds\">Introdu\u00e7\u00e3o \u00e0 Data Science<\/a><\/noindex>\". Por apenas 990 rublos, voc\u00ea se aprofundar\u00e1 em Data Science: conhecer\u00e1 as especializa\u00e7\u00f5es, escolher\u00e1 uma profiss\u00e3o e desenvolver\u00e1 habilidades no trabalho com dados.\u00a0<\/p>\n<p>Data Science \u00e9 a ci\u00eancia dos dados e sua an\u00e1lise. Muitos acreditam que \u00e9 muito dif\u00edcil ingressar na \u00e1rea: tedioso, longo e \u00e9 necess\u00e1rio ter forma\u00e7\u00e3o em ci\u00eancias exatas. Mas n\u00e3o \u00e9 assim \u2014 qualquer um pode encontrar uma profiss\u00e3o ao seu gosto ou desenvolver habilidades espec\u00edficas no trabalho com dados.<\/p>\n<p>O curso \"<noindex><a rel=\"nofollow\" href=\"https:\/\/netology.ru\/programs\/start-ds?utm_source=blog&amp;utm_medium=1492&amp;utm_campaign=bds_obds_ou_habr_19072019startds\">Introdu\u00e7\u00e3o \u00e0 Data Science<\/a><\/noindex>\" \u00e9 voltado para aqueles que desejam obter uma profiss\u00e3o demandada e bem remunerada, mas n\u00e3o sabem qual dire\u00e7\u00e3o seguir, onde estudar e como progredir na \u00e1rea. Al\u00e9m disso, ele \u00e9 adequado para todos que, em seu trabalho, lidam com Big Data, aprendizado de m\u00e1quina, an\u00e1lise de dados ou simplesmente se interessam pelo tema.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Voc\u00ea vai aprender<\/h2>\n<p><\/p>\n<ul>\n<li>o que \u00e9 Data Science;<\/li>\n<li>quais \u00e1reas e profiss\u00f5es existem;<\/li>\n<li>dicas de formata\u00e7\u00e3o de c\u00e9lulas e c\u00e1lculos sem f\u00f3rmulas;<\/li>\n<li>como ocultar informa\u00e7\u00f5es importantes;<\/li>\n<li>t\u00e9cnicas de substitui\u00e7\u00e3o de dados de uma tabela para outra;<\/li>\n<li>quais bibliotecas Python existem para an\u00e1lise de dados;<\/li>\n<li>onde e para que o SQL \u00e9 usado, quais problemas pode resolver e quais fun\u00e7\u00f5es anal\u00edticas possui.<\/li>\n<\/ul>\n<p><\/p>\n<h2>Voc\u00ea vai aprender a<\/h2>\n<p><\/p>\n<ul>\n<li>criar relat\u00f3rios interativos bonitos no Power BI sem programa\u00e7\u00e3o;<\/li>\n<li>aplicar pensamento orientado a dados no trabalho;<\/li>\n<li>gerenciar Big Data: coletar, armazenar, avaliar a qualidade, proteger, escalar e transformar;<\/li>\n<li>escrever c\u00f3digo simples.\u00a0<\/li>\n<\/ul>\n<p><\/p>\n<h2>Professores<\/h2>\n<p>\n<b>Elena Gerasimova<\/b>, diretora de programas de Data Science na Netology.<\/p>\n<p><b>Darya Mukhina<\/b>, analista de produtos na Skyeng.\u00a0<\/p>\n<p><b>Alexei Tchernobrovov<\/b>, consultor em desenvolvimento na Pult.ru, Mazda, Skyeng.<\/p>\n<p><b>Pavel Kozlov<\/b>, treinador do projeto CIE da Microsoft.<\/p>\n<p><b>Dmitry Yakushev<\/b>, instrutor e desenvolvedor de cursos de forma\u00e7\u00e3o na Academia Excel.<\/p>\n<p><b>Alexei Kuzmin<\/b>, diretor de desenvolvimento na DomClick.\u00a0<\/p>\n<h2>Pre\u00e7o<\/h2>\n<p>\n<b>Pre\u00e7o do curso:<\/b> apenas 990 rublos. Se voc\u00ea continuar seus estudos na Netology, esse valor ser\u00e1 contabilizado como desconto na compra de outros cursos de Data Science.<br \/>\n<br \/>Fonte: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/netologyru\/blog\/460701\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041c\u044b \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435\u043c \u043d\u043e\u0432\u044b\u0439 \u043a\u0443\u0440\u0441 \u0434\u043b\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432 \u2014 \u00ab\u0421\u0442\u0430\u0440\u0442 \u0432 Data Science\u00bb. \u0412\u0441\u0435\u0433\u043e \u0437\u0430 990 \u0440\u0443\u0431\u043b\u0435\u0439 \u0432\u044b \u043f\u043e\u0433\u0440\u0443\u0437\u0438\u0442\u0435\u0441\u044c \u0432 Data Science: \u0443\u0437\u043d\u0430\u0435\u0442\u0435 \u043e \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f\u0445, \u0432\u044b\u0431\u0435\u0440\u0438\u0442\u0435 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u044e \u0438 \u043f\u0440\u043e\u043a\u0430\u0447\u0430\u0435\u0442\u0435 \u043d\u0430\u0432\u044b\u043a\u0438 \u0432 \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0434\u0430\u043d\u043d\u044b\u043c\u0438.\u00a0 Data Science \u2014 \u043d\u0430\u0443\u043a\u0430 \u043e \u0434\u0430\u043d\u043d\u044b\u0445 \u0438 \u0438\u0445 \u0430\u043d\u0430\u043b\u0438\u0437\u0435. \u041c\u043d\u043e\u0433\u0438\u0435 \u0441\u0447\u0438\u0442\u0430\u044e\u0442, \u0447\u0442\u043e \u0432\u043e\u0439\u0442\u0438 \u0432 \u0441\u0444\u0435\u0440\u0443 \u043e\u0447\u0435\u043d\u044c \u0442\u044f\u0436\u0435\u043b\u043e: \u043d\u0443\u0434\u043d\u043e, \u0434\u043e\u043b\u0433\u043e \u0438 \u043d\u0443\u0436\u043d\u043e \u0444\u0438\u0437\u043c\u0430\u0442-\u043e\u0431\u0440\u0430\u0437\u043e\u0432\u0430\u043d\u0438\u0435. \u041d\u043e [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-36808","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041c\u044b \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435\u043c \u043d\u043e\u0432\u044b\u0439 \u043a\u0443\u0440\u0441 \u0434\u043b\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432 \u2014 \u00ab\u0421\u0442\u0430\u0440\u0442 \u0432 Data.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" 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