{"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\/es\/blog\/news\/kurs-start-v-data-science-pervyj-shag-v-rabote-s-dannymi","title":{"rendered":"Curso \u00abInicio en Data Science\u00bb: el primer paso en el trabajo con datos","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Lanzamos un nuevo curso para principiantes \u2014 \u00ab<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\">Inicio en Data Science<\/a><\/noindex>\u00bb. Por solo 990 rublos, te sumergir\u00e1s en Data Science: aprender\u00e1s sobre especializaciones, elegir\u00e1s una profesi\u00f3n y potenciar\u00e1s tus habilidades en el manejo de datos.\u00a0<\/p>\n<p>Data Science es la ciencia de los datos y su an\u00e1lisis. Muchos piensan que es muy dif\u00edcil ingresar al campo: tedioso, largo y se necesita una educaci\u00f3n t\u00e9cnica. Pero no es as\u00ed: cualquiera puede encontrar una profesi\u00f3n que le guste o mejorar habilidades espec\u00edficas en el trabajo con datos.<\/p>\n<p>Curso \u00ab<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\">Inicio en Data Science<\/a><\/noindex>\u00bb est\u00e1 destinado a quienes desean obtener una profesi\u00f3n demandada y bien remunerada, pero no saben qu\u00e9 direcci\u00f3n elegir, d\u00f3nde estudiar y c\u00f3mo avanzar en el campo. Adem\u00e1s, es adecuado para todos los que en su trabajo se relacionan con Big Data, aprendizaje autom\u00e1tico, an\u00e1lisis de datos o simplemente se interesan en este tema.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Descubrir\u00e1s<\/h2>\n<p><\/p>\n<ul>\n<li>qu\u00e9 es Data Science;<\/li>\n<li>qu\u00e9 direcciones y profesiones existen;<\/li>\n<li>trucos para formatear celdas y hacer c\u00e1lculos sin f\u00f3rmulas;<\/li>\n<li>c\u00f3mo ocultar informaci\u00f3n importante;<\/li>\n<li>t\u00e9cnicas para transferir datos de una tabla a otra;<\/li>\n<li>qu\u00e9 bibliotecas de Python existen para el an\u00e1lisis de datos;<\/li>\n<li>d\u00f3nde y para qu\u00e9 se usa SQL, qu\u00e9 problemas puede resolver y qu\u00e9 funciones anal\u00edticas tiene.<\/li>\n<\/ul>\n<p><\/p>\n<h2>Aprender\u00e1s<\/h2>\n<p><\/p>\n<ul>\n<li>a crear informes interactivos atractivos en Power BI sin programaci\u00f3n;<\/li>\n<li>a aplicar un pensamiento data-driven en el trabajo;<\/li>\n<li>a gestionar Big Data: recopilar, almacenar, evaluar la calidad, proteger, escalar y transformar;<\/li>\n<li>a escribir c\u00f3digo sencillo.\u00a0<\/li>\n<\/ul>\n<p><\/p>\n<h2>Instructores<\/h2>\n<p>\n<b>Elena Gerasimova<\/b>, directora de programas de Data Science en Netology.<\/p>\n<p><b>Darya Mukhina<\/b>, analista de producto en Skyeng.\u00a0<\/p>\n<p><b>Alexey Chernobrovov<\/b>, consultor de desarrollo en Pult.ru, Mazda, Skyeng.<\/p>\n<p><b>Pavel Kozlov<\/b>, entrenador del proyecto CIE de Microsoft.<\/p>\n<p><b>Dmitry Yakushev<\/b>, instructor y desarrollador de cursos en la Academia de Excel.<\/p>\n<p><b>Alexey Kuzmin<\/b>, director de desarrollo en DomClick.\u00a0<\/p>\n<h2>M\u00e1s abajo<\/h2>\n<p>\n<b>Precio del curso:<\/b> solo 990 rublos. Si contin\u00faas tu formaci\u00f3n en Netology, esta cantidad se contabiliza como descuento en la compra de otros cursos de Data Science.<br \/>\n<br \/>Fuente: <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 5.0.2 - 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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