{"id":1174,"date":"2023-08-30T15:39:14","date_gmt":"2023-08-30T15:39:14","guid":{"rendered":"http:\/\/wordpressdemo.webkul.com\/woocommerce-admin-buyer-chat\/?p=1174"},"modified":"2023-12-05T09:32:32","modified_gmt":"2023-12-05T09:32:32","slug":"que-es-ciencia-de-datos-y-por-que-estudiar-esta","status":"publish","type":"post","link":"https:\/\/woodemo.webkul.in\/woocommerce-admin-buyer-chat\/que-es-ciencia-de-datos-y-por-que-estudiar-esta\/","title":{"rendered":"\u00bfQu\u00e9 es ciencia de datos y por qu\u00e9 estudiar esta carrera?"},"content":{"rendered":"<p>Cuatro a\u00f1os m\u00e1s tarde, Peter Naur, un pionero de la programaci\u00f3n de software dan\u00e9s, propuso la datalog\u00eda \u2014&#8221;la ciencia de los datos y los procesos de datos&#8221;\u2014 como una alternativa a la inform\u00e1tica. M\u00e1s tarde utiliz\u00f3 el t\u00e9rmino ciencia de datos en su libro de 1974, Concise Survey of Computer Methods, y lo describi\u00f3 como &#8220;la ciencia de tratar con datos&#8221; \u2014aunque nuevamente en el contexto de la inform\u00e1tica, no de la anal\u00edtica. A medida que aumenta la cantidad de datos generados y recopilados por las empresas, tambi\u00e9n aumenta su necesidad de cient\u00edficos de datos. Eso ha provocado una gran demanda de trabajadores con experiencia o capacitaci\u00f3n en ciencia de datos, lo que dificulta que algunas empresas cubran  los puestos disponibles.<\/p>\n<div style='border: black dashed 1px;padding: 11px;'>\n<h3>Comparecencia de la ministra de Educaci\u00f3n, Formaci\u00f3n Profesional &#8230; &#8211; La Moncloa <\/h3>\n<p>Comparecencia de la ministra de Educaci\u00f3n, Formaci\u00f3n Profesional &#8230;.<\/p>\n<p>Posted: Tue, 28 Nov 2023 08:00:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMiVWh0dHBzOi8vd3d3LmxhbW9uY2xvYS5nb2IuZXMvY29uc2Vqb2RlbWluaXN0cm9zL3J1ZWRhcy9QYWdpbmFzLzIwMjMvcnBjbTI4MTEyMDIzLmFzcHjSAQA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p>Los profesionales deben comprender los desaf\u00edos \u00e9ticos asociados con la recopilaci\u00f3n y el uso de datos, as\u00ed como la importancia de proteger la privacidad de los individuos. Al implementar pr\u00e1cticas \u00e9ticas y salvaguardias adecuadas, los profesionales pueden aprovechar los beneficios de la ciencia de datos sin comprometer la confianza del p\u00fablico. En la UTB te mostramos estas ocho \u00e1reas clave en las que la ciencia de datos se ha vuelto crucial para los profesionales. Adem\u00e1s, posibilita la optimizaci\u00f3n del big data al momento que se requiera, pues tiene la capacidad de alimentarse de fuentes de datos heterog\u00e9neas y centralizarlas en una sola fuente para realizar an\u00e1lisis de gran precisi\u00f3n y profundidad, en tiempo real.<\/p>\n<h2>Consejos y trucos para adaptar tu empresa pyme al RGPD<\/h2>\n<p>En el modelado predictivo y otras aplicaciones de an\u00e1lisis avanzado, el muestreo de datos a menudo se realiza para analizar un subconjunto representativo de datos, una t\u00e9cnica de miner\u00eda de datos dise\u00f1ada para hacer que el proceso de an\u00e1lisis sea m\u00e1s manejable y requiera menos tiempo. Aunque los t\u00e9rminos se pueden usar de manera indistinta, el an\u00e1lisis de datos es un subconjunto de la ciencia de datos. La ciencia de datos es un t\u00e9rmino que engloba todos los aspectos del procesamiento de datos, desde la recopilaci\u00f3n hasta el modelado y la informaci\u00f3n.<\/p>\n<p>Pero hablemos de las ventajas de tomar un curso online para desarrollarte como cient\u00edfico de datos. En general, Data Science se enfoca en brindar una soluci\u00f3n integral para obtener informaci\u00f3n valiosa para respaldar la toma de decisiones en el contexto r\u00e1pido y heterog\u00e9neo de la administraci\u00f3n y an\u00e1lisis de datos modernos. La ciencia de datos desempe\u00f1a un papel fundamental en el \u00e9xito de los profesionales en diversos campos.<\/p>\n<h2>\u00bfQu\u00e9 es la Ciencia de Datos?<\/h2>\n<p>Cree y escale modelos de IA con sus aplicaciones nativas de la nube en pr\u00e1cticamente cualquier nube. No te pierdas las \u00faltimas noticias y consejos sobre marketing, ventas y servicio de atenci\u00f3n al cliente. Cree y <a href=\"https:\/\/www.elegircarrera.net\/blog\/por-que-deberias-aprender-ciencia-de-datos-con-cursos-online\/\">https:\/\/www.elegircarrera.net\/blog\/por-que-deberias-aprender-ciencia-de-datos-con-cursos-online\/<\/a> escale modelos de IA con sus aplicaciones nativas en cloud en pr\u00e1cticamente cualquier cloud. Prueba QuestionPro hoy mismo, solicita una demostraci\u00f3n y resuelve todas tus dudas sobre el uso de nuestra plataforma.<\/p>\n<ul>\n<li>Los profesionales pueden utilizar t\u00e9cnicas avanzadas de modelado y an\u00e1lisis para identificar tendencias emergentes, comprender el comportamiento del consumidor y anticiparse a las demandas del mercado.<\/li>\n<li>Estos insights se pueden utilizar como gu\u00eda para la toma de decisiones y la planificaci\u00f3n estrat\u00e9gica.<\/li>\n<li>Sin embargo, en equipos m\u00e1s peque\u00f1os, un cient\u00edfico de datos puede cumplir varias funciones.<\/li>\n<li>Los cient\u00edficos de datos trabajan junto a los analistas y las empresas para convertir la informaci\u00f3n de datos en acci\u00f3n.<\/li>\n<li>A veces, los modelos de machine learning que los desarrolladores reciben no est\u00e1n listos para implementarlos en aplicaciones.<\/li>\n<\/ul>\n<p>En octubre de 2012 la revista Harvard Business Review predijo que la profesi\u00f3n de cient\u00edfico de datos ser\u00eda la \u201cm\u00e1s sexy del siglo XXI\u201d. Prueba de ello es que si realizamos una b\u00fasqueda en Google Trends del t\u00e9rmino en ingl\u00e9s \u201cciencia de datos\u201d (data science) vemos que el inter\u00e9s por esta disciplina no ha hecho m\u00e1s que crecer. Los casos de uso comunes incluyen la optimizaci\u00f3n de procesos a trav\u00e9s de la automatizaci\u00f3n inteligente y la orientaci\u00f3n y personalizaci\u00f3n mejoradas para mejorar la experiencia del cliente (CX). <a href=\"https:\/\/www.elegircarrera.net\/blog\/por-que-deberias-aprender-ciencia-de-datos-con-cursos-online\/\">Por qu\u00e9 deber\u00edas aprender ciencia de datos con cursos online<\/a> Este es un software de c\u00f3digo abierto que&nbsp;facilita la resoluci\u00f3n de problemas computacionales complejos y tareas intensivas de datos. Fue creado por la Fundaci\u00f3n de Software Apache, por lo tanto cuenta con varias herramientas para la gesti\u00f3n de los trozos en los que divide la informaci\u00f3n para un mejor manejo. Entre los casos de uso m\u00e1s habituales, se incluye la optimizaci\u00f3n de procesos mediante automatizaci\u00f3n inteligente, focalizaci\u00f3n mejorada y personalizaci\u00f3n para mejorar la experiencia del cliente (CX).<\/p>\n<h2>A tener en cuenta. Lo bueno y lo malo de tomar caf\u00e9 todos los d\u00edas, seg\u00fan los especialistas<\/h2>\n<p>Asegurar las propiedades ACID es computacionalmente costoso, especialmente cuando se realizan transacciones y an\u00e1lisis de datos en paralelo en la misma base de datos. Esto llev\u00f3 al surgimiento del \u00e1rea de Business Intelligence (BI), la cual se centra en el an\u00e1lisis de datos. Aqu\u00ed, los datos de las fuentes de datos t\u00edpicamente internas y controladas se  extraen, transforman y cargan peri\u00f3dicamente en un almac\u00e9n de datos.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"306px\" alt=\"por que es importante la ciencia de datos\"\/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cuatro a\u00f1os m\u00e1s tarde, Peter Naur, un pionero de la programaci\u00f3n de software dan\u00e9s, propuso la datalog\u00eda \u2014&#8221;la ciencia de los datos y los procesos de datos&#8221;\u2014 como una alternativa a la inform\u00e1tica. M\u00e1s tarde utiliz\u00f3 el t\u00e9rmino ciencia de datos en su libro de 1974, Concise Survey of Computer Methods, y lo describi\u00f3 como [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[162],"tags":[],"class_list":["post-1174","post","type-post","status-publish","format-standard","hentry","category-bootcamp-de-programacion"],"_links":{"self":[{"href":"https:\/\/woodemo.webkul.in\/woocommerce-admin-buyer-chat\/wp-json\/wp\/v2\/posts\/1174","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/woodemo.webkul.in\/woocommerce-admin-buyer-chat\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/woodemo.webkul.in\/woocommerce-admin-buyer-chat\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/woodemo.webkul.in\/woocommerce-admin-buyer-chat\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/woodemo.webkul.in\/woocommerce-admin-buyer-chat\/wp-json\/wp\/v2\/comments?post=1174"}],"version-history":[{"count":1,"href":"https:\/\/woodemo.webkul.in\/woocommerce-admin-buyer-chat\/wp-json\/wp\/v2\/posts\/1174\/revisions"}],"predecessor-version":[{"id":1175,"href":"https:\/\/woodemo.webkul.in\/woocommerce-admin-buyer-chat\/wp-json\/wp\/v2\/posts\/1174\/revisions\/1175"}],"wp:attachment":[{"href":"https:\/\/woodemo.webkul.in\/woocommerce-admin-buyer-chat\/wp-json\/wp\/v2\/media?parent=1174"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/woodemo.webkul.in\/woocommerce-admin-buyer-chat\/wp-json\/wp\/v2\/categories?post=1174"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/woodemo.webkul.in\/woocommerce-admin-buyer-chat\/wp-json\/wp\/v2\/tags?post=1174"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}