{"id":1597,"date":"2021-10-28T16:30:50","date_gmt":"2021-10-28T14:30:50","guid":{"rendered":"https:\/\/protechome.fr\/?p=1597"},"modified":"2023-11-24T09:58:56","modified_gmt":"2023-11-24T08:58:56","slug":"que-es-la-ciencia-de-datos-explicacion-de-la","status":"publish","type":"post","link":"https:\/\/protechome.fr\/index.php\/2021\/10\/28\/que-es-la-ciencia-de-datos-explicacion-de-la\/","title":{"rendered":"\u00bfQu\u00e9 es la ciencia de datos? Explicaci\u00f3n de la ciencia de datos"},"content":{"rendered":"<p>El objetivo de la <a href=\"https:\/\/imagendelgolfo.mx\/nacional\/domina-el-analisis-de-datos-con-este-curso-online\/50458381\">https:\/\/imagendelgolfo.mx\/nacional\/domina-el-analisis-de-datos-con-este-curso-online\/50458381<\/a> es extraer informaci\u00f3n y conocimientos de los datos para apoyar la toma de decisiones y resolver problemas. Emplea varias herramientas y m\u00e9todos de otras disciplinas, como la inform\u00e1tica, la estad\u00edstica y el aprendizaje autom\u00e1tico, para analizar e interpretar conjuntos de datos grandes y complicados. Este programa en ciencia de datos te permite conocer y desarrollar las  principales habilidades t\u00e9cnicas para aportar como miembro de un equipo en un proyecto de ciencia de datos. Las plataformas de data science est\u00e1n dise\u00f1adas para la colaboraci\u00f3n de una variedad de usuarios, incluidos los cient\u00edfico de datoss expertos, cient\u00edfico de datoss de ciudadanos, ingenieros de datos e ingenieros o especialistas en machine learning.<\/p>\n<ul>\n<li>A lo largo de esta gu\u00eda, hay hiperv\u00ednculos a art\u00edculos de TechTarget relacionados que profundizan m\u00e1s en los temas que se tratan aqu\u00ed y ofrecen informaci\u00f3n y consejos de expertos sobre iniciativas de ciencia de datos.<\/li>\n<li>Los cient\u00edficos de datos trabajan de manera m\u00e1s estrecha con la tecnolog\u00eda de datos que los analistas empresariales.<\/li>\n<li>El portfolio de productos de ciclo de vida de ciencia de datos e IA de IBM se basa en nuestro largo compromiso con las tecnolog\u00edas de c\u00f3digo abierto, e incluye una gama de funciones que generan nuevas maneras de multiplicar el valor de los datos de las empresas.<\/li>\n<li>Para crear modelos de machine learning, los cient\u00edficos de datos suelen recurrir a distintos marcos de trabajo, como PyTorch, TensorFlow, MXNet y Spark MLib.<\/li>\n<li>En apenas 13 a\u00f1os esta actividad se ha mostrado tan necesaria que se calcula que, en 2021, entre el 50 y 70 por ciento de los empleadores solicitar\u00e1 al menos a uno de estos profesionistas para sus empresas.<\/li>\n<li>Los cient\u00edficos de datos no son necesariamente los responsables directos de todos los procesos comprendidos en el ciclo de vida de la ciencia de datos.<\/li>\n<\/ul>\n<p>El generador de informes de Datalore permite a los equipos convertir un notebook lleno de c\u00f3digo y experimentos en una historia clara y basada en datos. Los equipos pueden compartir notebooks, editarlos juntos en tiempo real y organizar sus proyectos en espacios de trabajo. Este diplomado est\u00e1 especialmente dise\u00f1ado para profesionales que poseen conocimientos fundamentales en matem\u00e1ticas y estad\u00edstica, as\u00ed como habilidades b\u00e1sicas en el uso de computadoras. Si tienes la disposici\u00f3n de explorar y aplicar un lenguaje de programaci\u00f3n para la resoluci\u00f3n de problemas en campos como la econom\u00eda, las finanzas y \u00e1reas relacionadas, este programa es perfecto para ti.<\/p>\n<h2>\u00bfQu\u00e9 IDE o editores utiliza para la ciencia de datos o el an\u00e1lisis de datos?<\/h2>\n<p>El t\u00e9rmino se suele relacionar con ciencia de datos, pues esa suele ser su fuente de informaci\u00f3n para an\u00e1lisis; La ciencia de datos logra analizar los grandes conjuntos de datos desordenados e incompletos, para llegar a hallazgos que impulsan decisiones sobre operaciones y productos. Los datos pueden ser preexistentes, reci\u00e9n adquiridos o un repositorio descargable de Internet. Los cient\u00edficos de datos pueden extraerlos de las bases de datos internas o externas, del software CRM de la empresa, de los registros del servidor web, de las redes sociales o adquirirlos de  terceros de confianza. Para las empresas, en especial las grandes, es un gran reto responder en tiempo real a las condiciones cambiantes.<\/p>\n<div style='border: black solid 1px;padding: 12px;'>\n<h3>El glifosato revela la influencia de los &lsquo;lobbies&rsquo; industriales en la &#8230; &#8211; The Conversation<\/h3>\n<p>El glifosato revela la influencia de los &lsquo;lobbies&rsquo; industriales en la &#8230;.<\/p>\n<p>Posted: Mon, 20 Nov 2023 21:51:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMieWh0dHBzOi8vdGhlY29udmVyc2F0aW9uLmNvbS9lbC1nbGlmb3NhdG8tcmV2ZWxhLWxhLWluZmx1ZW5jaWEtZGUtbG9zLWxvYmJpZXMtaW5kdXN0cmlhbGVzLWVuLWxhLWNpZW5jaWEtcmVndWxhZG9yYS0yMTU5MjnSAQA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p>A nivel comparativo, los cient\u00edficos de datos utilizan lenguajes de programaci\u00f3n comunes, como R y Python, para efectuar m\u00e1s inferencia estad\u00edstica y visualizaci\u00f3n de datos. Adicionalemente es importante tener habilidades relacionadas con la inteligencia emocional, la capacidad de comunicaci\u00f3n o la facilidad de adaptarse a los cambios (Soft Skills). Antes de entrar en materia, tenemos que ofrecer una definici\u00f3n de lo que es la ciencia de datos o data science.<\/p>\n<h2>Objetivo de la ciencia de datos<\/h2>\n<p>En un art\u00edculo publicado en 1962, el estad\u00edstico estadounidense John W. Tukey escribi\u00f3 que el an\u00e1lisis de datos \u00ab\u00a0es intr\u00ednsecamente una ciencia emp\u00edrica\u00a0\u00bb. Cuatro a\u00f1os m\u00e1s tarde, Peter Naur, un pionero de la programaci\u00f3n de software dan\u00e9s, propuso la datalog\u00eda \u2014\u00a0\u00bbla ciencia de los datos y los procesos de datos\u00a0\u00bb\u2014 como una alternativa a la inform\u00e1tica. M\u00e1s tarde utiliz\u00f3 el t\u00e9rmino <a href=\"https:\/\/imagendelgolfo.mx\/nacional\/domina-el-analisis-de-datos-con-este-curso-online\/50458381\">Domina el an\u00e1lisis de datos con este curso online<\/a> en su libro de 1974, Concise Survey of Computer Methods, y lo describi\u00f3 como \u00ab\u00a0la ciencia de tratar con datos\u00a0\u00bb \u2014aunque nuevamente en el contexto de la inform\u00e1tica, no de la anal\u00edtica.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"300px\" alt=\"ciencia de datos\"\/><\/p>\n<p>Se eliminan los cuellos de botella del flujo de trabajo, ya que se simplifica la gesti\u00f3n y utilizan las mejores pr\u00e1cticas. El aumento del volumen de or\u00edgenes de datos y, por lo tanto, de datos, ha convertido a la ciencia de datos en uno de los campos de m\u00e1s r\u00e1pido crecimiento de todas las industrias. Como resultado, no sorprende que el rol de cient\u00edfico de datos haya sido calificado como el \u00ab\u00a0trabajo m\u00e1s sexy del siglo XXI\u00a0\u00bb por&nbsp;Harvard Business Review&nbsp;(enlace externo a IBM). Las organizaciones dependen cada vez m\u00e1s de ellos para interpretar los datos y proporcionar recomendaciones pr\u00e1cticas para mejorar los resultados de negocio. Los cient\u00edficos de datos tienen que trabajar con varias partes interesadas y con administradores empresariales para definir el problema que se debe resolver. Esto puede suponer un reto, particularmente en empresas grandes que cuentan con m\u00faltiples equipos de trabajo con necesidades diferentes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>El objetivo de la https:\/\/imagendelgolfo.mx\/nacional\/domina-el-analisis-de-datos-con-este-curso-online\/50458381 es extraer informaci\u00f3n y conocimientos de los datos para apoyar la toma de decisiones y resolver problemas. Emplea varias herramientas y m\u00e9todos de otras disciplinas, como la inform\u00e1tica, la estad\u00edstica y el aprendizaje autom\u00e1tico, para analizar e interpretar conjuntos de datos grandes y complicados. Este programa en ciencia de datos [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[102],"tags":[],"_links":{"self":[{"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/posts\/1597"}],"collection":[{"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/comments?post=1597"}],"version-history":[{"count":1,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/posts\/1597\/revisions"}],"predecessor-version":[{"id":1598,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/posts\/1597\/revisions\/1598"}],"wp:attachment":[{"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/media?parent=1597"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/categories?post=1597"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/protechome.fr\/index.php\/wp-json\/wp\/v2\/tags?post=1597"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}