{"id":167227,"date":"2023-04-20T08:38:56","date_gmt":"2023-04-20T07:38:56","guid":{"rendered":"https:\/\/datascientest.com\/es\/?p=167227"},"modified":"2023-04-20T08:38:57","modified_gmt":"2023-04-20T07:38:57","slug":"herramientas-habituales-de-un-data-scientist","status":"publish","type":"post","link":"https:\/\/datascientest.com\/es\/herramientas-habituales-de-un-data-scientist","title":{"rendered":"Herramientas habituales de un Data Scientist"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"167227\" class=\"elementor elementor-167227\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-46080e0 e-flex e-con-boxed e-con\" data-id=\"46080e0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-edb4db5 elementor-widget elementor-widget-heading\" data-id=\"edb4db5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\"><b>En la era del Big Data han surgido varios perfiles profesionales, entre ellos el de Data Scientist. Si nunca has o\u00eddo hablar de \u00e9l, te recomiendo que primero leas este art\u00edculo, pero para los que ya saben lo que hace un Data Scientist, vamos a ver las distintas herramientas que utilizan.<\/b><\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7929071 e-flex e-con-boxed e-con\" data-id=\"7929071\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7460c65 elementor-widget elementor-widget-heading\" data-id=\"7460c65\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Recogida de los datos<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ebab2dd elementor-widget elementor-widget-text-editor\" data-id=\"ebab2dd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">La primera etapa consiste en recopilar datos a trav\u00e9s de fuentes de datos. Es habitual encontrar aqu\u00ed el lenguaje preferido de la Data Science: Python para recopilar estos datos. Tambi\u00e9n es posible utilizar webscraping para recuperar datos de p\u00e1ginas web a trav\u00e9s de Selenium.\u00a0\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Tambi\u00e9n es posible consultar los datos de la empresa mediante <\/span><b>SQL<\/b>.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1f9802d elementor-widget elementor-widget-heading\" data-id=\"1f9802d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Herramientas utilizadas:<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-214fa57 e-flex e-con-boxed e-con\" data-id=\"214fa57\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-0853018 e-con-full e-flex e-con\" data-id=\"0853018\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6d954b3 elementor-widget elementor-widget-image\" data-id=\"6d954b3\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"802\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image3.webp\" class=\"attachment-large size-large wp-image-167231\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image3.webp 768w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image3-287x300.webp 287w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4db164c e-con-full e-flex e-con\" data-id=\"4db164c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4afff98 elementor-widget elementor-widget-image\" data-id=\"4afff98\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"740\" height=\"485\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image4.webp\" class=\"attachment-large size-large wp-image-167232\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image4.webp 740w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image4-300x197.webp 300w\" sizes=\"(max-width: 740px) 100vw, 740px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-63a9384 e-con-full e-flex e-con\" data-id=\"63a9384\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7cc6171 elementor-widget elementor-widget-image\" data-id=\"7cc6171\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"400\" height=\"400\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image9.webp\" class=\"attachment-large size-large wp-image-167233\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image9.webp 400w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image9-300x300.webp 300w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image9-150x150.webp 150w\" sizes=\"(max-width: 400px) 100vw, 400px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b9f9f88 e-flex e-con-boxed e-con\" data-id=\"b9f9f88\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3b9166a elementor-widget elementor-widget-heading\" data-id=\"3b9166a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">\u00bfQu\u00e9 es la visualizaci\u00f3n? Una de las herramientas del Data Scientist <\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b871570 elementor-widget elementor-widget-text-editor\" data-id=\"b871570\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">La visualizaci\u00f3n de datos te permite <strong>descubrir informaci\u00f3n oculta en los datos y descubrir tendencias dentro de tu conjunto de datos<\/strong>. <\/span><strong><a href=\"https:\/\/datascientest.com\/es\/todo-sobre-matplotlib-2\">Matplotlib<\/a><\/strong><span style=\"font-weight: 400;\">, <\/span><strong><a href=\"https:\/\/datascientest.com\/es\/seaborn-la-herramienta-de-data-visualization-python\">Seaborn<\/a><\/strong><span style=\"font-weight: 400;\"> son herramientas cotidianas del Data Scientist. La visualizaci\u00f3n permite dar sentido a los datos de un vistazo. Es una forma r\u00e1pida de obtener informaci\u00f3n mediante la exploraci\u00f3n visual, la elaboraci\u00f3n de informes fiables y el intercambio de informaci\u00f3n. Todas las categor\u00edas de usuarios pueden dar sentido a la creciente cantidad de datos de tu empresa. <strong>Gracias a la visualizaci\u00f3n<\/strong>, el cerebro es capaz de procesar, absorber e interpretar grandes cantidades de informaci\u00f3n. <\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bba74ac elementor-widget elementor-widget-heading\" data-id=\"bba74ac\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Herramientas utilizadas:<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e08d907 e-flex e-con-boxed e-con\" data-id=\"e08d907\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-119fc49 e-con-full e-flex e-con\" data-id=\"119fc49\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d3d55ad elementor-widget elementor-widget-image\" data-id=\"d3d55ad\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"182\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image10.webp\" class=\"attachment-large size-large wp-image-167234\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image10.webp 512w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image10-300x107.webp 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ff13381 e-con-full e-flex e-con\" data-id=\"ff13381\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4534ddc elementor-widget elementor-widget-image\" data-id=\"4534ddc\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"384\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image2.webp\" class=\"attachment-large size-large wp-image-167235\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image2.webp 768w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image2-300x150.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-753db73 e-con-full e-flex e-con\" data-id=\"753db73\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-da50694 elementor-widget elementor-widget-image\" data-id=\"da50694\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"660\" height=\"794\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image15.webp\" class=\"attachment-large size-large wp-image-167236\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image15.webp 660w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image15-249x300.webp 249w\" sizes=\"(max-width: 660px) 100vw, 660px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-74eb198 e-flex e-con-boxed e-con\" data-id=\"74eb198\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0c2f7a1 elementor-widget elementor-widget-heading\" data-id=\"0c2f7a1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">An\u00e1lisis de datos \/ Preprocessing<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c927aa1 elementor-widget elementor-widget-text-editor\" data-id=\"c927aa1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">El procesamiento de datos suele realizarlo el Data Scientist (o un equipo de Data Scientists). Es importante que se realice correctamente para que no repercuta negativamente en los pasos siguientes.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">\u00a0<\/span><span style=\"font-weight: 400;\">Al trabajar con datos en bruto, el Data Scientist los convierte en una forma m\u00e1s legible, d\u00e1ndoles el formato y contexto necesarios para que puedan ser interpretados y utilizados por modelos de <strong>Machine Learning o Deep Learning<\/strong>.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">\u00a0<\/span><span style=\"font-weight: 400;\">Aunque ingenuamente pensemos que una gran cantidad de datos es suficiente para tener un algoritmo potente, la mayor\u00eda de las veces los datos que tenemos no est\u00e1n adaptados y deben ser procesados antes de ser utilizados: <strong>esta es la etapa de preprocessing<\/strong>.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-399cf71 elementor-widget elementor-widget-heading\" data-id=\"399cf71\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Herramientas utilizadas:<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7dc49e7 e-flex e-con-boxed e-con\" data-id=\"7dc49e7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-4b69c21 e-con-full e-flex e-con\" data-id=\"4b69c21\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ad4b720 elementor-widget elementor-widget-image\" data-id=\"ad4b720\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"637\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image6.webp\" class=\"attachment-large size-large wp-image-167237\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image6.webp 768w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image6-300x249.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-dd2a4dd e-con-full e-flex e-con\" data-id=\"dd2a4dd\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cf77537 elementor-widget elementor-widget-image\" data-id=\"cf77537\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"700\" height=\"754\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image17.webp\" class=\"attachment-large size-large wp-image-167238\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image17.webp 700w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image17-279x300.webp 279w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-051df92 e-con-full e-flex e-con\" data-id=\"051df92\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-24d9e8f elementor-widget elementor-widget-image\" data-id=\"24d9e8f\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"474\" height=\"197\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image8-e1681901636607.webp\" class=\"attachment-large size-large wp-image-167239\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image8-e1681901636607.webp 474w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image8-e1681901636607-300x125.webp 300w\" sizes=\"(max-width: 474px) 100vw, 474px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ed1cd78 e-flex e-con-boxed e-con\" data-id=\"ed1cd78\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-19dbca5 elementor-widget elementor-widget-heading\" data-id=\"19dbca5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">El Modeling<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7cc2964 elementor-widget elementor-widget-text-editor\" data-id=\"7cc2964\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">El modelado es una forma de modelar fen\u00f3menos con el objetivo de tomar decisiones estrat\u00e9gicas.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">\u00a0<\/span><span style=\"font-weight: 400;\">Modelar significa representar el comportamiento de un fen\u00f3meno para ayudar a resolver un problema empresarial concreto.\u00a0\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">En <\/span><strong><a href=\"https:\/\/datascientest.com\/es\/machine-learning-definicion-funcionamiento-usos\">Machine Learning<\/a><\/strong><span style=\"font-weight: 400;\">, el algoritmo se construye sobre una \u00ab<\/span><b>representaci\u00f3n interna<\/b><span style=\"font-weight: 400;\">\u00bb para poder realizar la tarea que se le pide (predicci\u00f3n, identificaci\u00f3n, etc.). Para ello, primero habr\u00e1 de introducir un conjunto de datos de ejemplo para que pueda entrenarse y mejorar, de ah\u00ed la palabra aprendizaje. Este conjunto de datos se denomina <\/span><b>training set<\/b><span style=\"font-weight: 400;\">. Se denomina <\/span><b>instancia u observaci\u00f3n<\/b><span style=\"font-weight: 400;\"> a una entrada del conjunto de datos.\u00a0\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">\u00a0<\/span><span style=\"font-weight: 400;\">Por tanto, hay dos formas posibles de modelar:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Para analizar y explicar\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Para predecir\u00a0<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d2c77c8 elementor-widget elementor-widget-text-editor\" data-id=\"d2c77c8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Estas dos dimensiones pueden estar presentes en proporciones variables: no es solo una o la otra. Pero existe una tensi\u00f3n entre ellas: los modelos m\u00e1s predictivos no suelen ser los m\u00e1s explicativos, y viceversa. <\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c16d00f elementor-widget elementor-widget-heading\" data-id=\"c16d00f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Herramientas utilizadas:<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6836898 e-flex e-con-boxed e-con\" data-id=\"6836898\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-e81d808 e-con-full e-flex e-con\" data-id=\"e81d808\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1603dbd elementor-widget elementor-widget-image\" data-id=\"1603dbd\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"441\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image12.webp\" class=\"attachment-large size-large wp-image-167246\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image12.webp 768w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image12-300x172.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e124bac e-con-full e-flex e-con\" data-id=\"e124bac\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c1af62e elementor-widget elementor-widget-image\" data-id=\"c1af62e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"411\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image13.webp\" class=\"attachment-large size-large wp-image-167247\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image13.webp 768w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image13-300x161.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0f763e0 e-con-full e-flex e-con\" data-id=\"0f763e0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b90a074 elementor-widget elementor-widget-image\" data-id=\"b90a074\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"189\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image14.webp\" class=\"attachment-large size-large wp-image-167248\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image14.webp 768w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image14-300x74.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fcfd7e2 e-con-full e-flex e-con\" data-id=\"fcfd7e2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7873ccd elementor-widget elementor-widget-image\" data-id=\"7873ccd\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"323\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image11.webp\" class=\"attachment-large size-large wp-image-167249\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image11.webp 768w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image11-300x126.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-47c7800 e-flex e-con-boxed e-con\" data-id=\"47c7800\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8dfc563 elementor-widget elementor-widget-heading\" data-id=\"8dfc563\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Despliegue (MLOps)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-74a6ae0 elementor-widget elementor-widget-text-editor\" data-id=\"74a6ae0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">MLOps son las siglas de Machine Learning Operations. La definici\u00f3n de MLOps es un conjunto de pr\u00e1cticas y herramientas que pertenecen al \u00e1mbito de la Data. Es una especializaci\u00f3n dentro del perfil profesional de Data Scientist.<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><strong>ML de Machine Learning\u00a0<\/strong><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><strong>Ops de Operaciones\u00a0<\/strong><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6edbefa elementor-widget elementor-widget-text-editor\" data-id=\"6edbefa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">El desarrollo de m\u00e9todos MLOps responde a las crecientes necesidades de las empresas para llevar a cabo proyectos de datos, adoptando m\u00e9todos eficientes para el desarrollo, despliegue y control de un sistema de Machine Learning.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Las herramientas y pr\u00e1cticas de <\/span><b>Machine Learning Operations<\/b><span style=\"font-weight: 400;\"> sirven sobre todo para aumentar la productividad de la empresa haciendo explotables al m\u00e1ximo los proyectos gracias a los datos. En efecto, MLOps permite <strong>optimizar cada lanzamiento de producci\u00f3n, facilitando la transici\u00f3n entre la fase de concepto y el proyecto real<\/strong>. Supervisa y actualiza continuamente el proceso que hay que seguir en funci\u00f3n de los nuevos datos. Es lo que se conoce como <strong>estrategia \u00abdata-driven\u00bb<\/strong>.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">MLOps es ante todo una cultura en desarrollo. Una cultura que capitaliza la capacidad de automatizar y actuar en todo el ciclo de vida de un modelo. <\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8fde07a elementor-widget elementor-widget-heading\" data-id=\"8fde07a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Herramientas utilizadas:<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-de6c9ec e-flex e-con-boxed e-con\" data-id=\"de6c9ec\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-6f13407 e-con-full e-flex e-con\" data-id=\"6f13407\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c2953df elementor-widget elementor-widget-image\" data-id=\"c2953df\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"657\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image7.webp\" class=\"attachment-large size-large wp-image-167250\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image7.webp 768w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image7-300x257.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c5300ae e-con-full e-flex e-con\" data-id=\"c5300ae\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6aba558 elementor-widget elementor-widget-image\" data-id=\"6aba558\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"512\" height=\"512\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image5.webp\" class=\"attachment-large size-large wp-image-167251\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image5.webp 512w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image5-300x300.webp 300w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image5-150x150.webp 150w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fb8dcea e-con-full e-flex e-con\" data-id=\"fb8dcea\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1d50309 elementor-widget elementor-widget-image\" data-id=\"1d50309\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"239\" src=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image16.webp\" class=\"attachment-large size-large wp-image-167252\" alt=\"\" srcset=\"https:\/\/datascientest.com\/es\/files\/2023\/04\/image16.webp 768w, https:\/\/datascientest.com\/es\/files\/2023\/04\/image16-300x93.webp 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5520a4b e-flex e-con-boxed e-con\" data-id=\"5520a4b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b22775e elementor-widget elementor-widget-heading\" data-id=\"b22775e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusi\u00f3n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0bffad5 elementor-widget elementor-widget-text-editor\" data-id=\"0bffad5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Si quieres aprender a utilizar todas las herramientas que acabas de ver, no dudes en consultar los detalles del curso de Data Scientist en DataScientest.\u00a0<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-81a0a37 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"81a0a37\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/es\/formacion-data-scientist\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Descubrir el curso de Data Scientist<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9426c04 e-flex e-con-boxed e-con\" data-id=\"9426c04\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e748642 elementor-widget elementor-widget-html\" data-id=\"e748642\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"\u00bfQu\u00e9 es la visualizaci\u00f3n? Una de las herramientas del Data Scientist\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"La visualizaci\u00f3n de datos te permite descubrir informaci\u00f3n oculta en los datos y descubrir tendencias dentro de tu conjunto de datos. Matplotlib, Seaborn son herramientas cotidianas del Data Scientist. La visualizaci\u00f3n permite dar sentido a los datos de un vistazo. Es una forma r\u00e1pida de obtener informaci\u00f3n mediante la exploraci\u00f3n visual, la elaboraci\u00f3n de informes fiables y el intercambio de informaci\u00f3n. Todas las categor\u00edas de usuarios pueden dar sentido a la creciente cantidad de datos de tu empresa. Gracias a la visualizaci\u00f3n, el cerebro es capaz de procesar, absorber e interpretar grandes cantidades de informaci\u00f3n.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"An\u00e1lisis de datos \/ Preprocessing\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"El procesamiento de datos suele realizarlo el Data Scientist (o un equipo de Data Scientists). Es importante que se realice correctamente para que no repercuta negativamente en los pasos siguientes. 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Si nunca has o\u00eddo hablar de \u00e9l, te recomiendo que\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/es\/herramientas-habituales-de-un-data-scientist\" \/>\n<meta property=\"og:site_name\" content=\"Formaci\u00f3n en ciencia de datos | DataScientest.com\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataScientestEN\" \/>\n<meta property=\"article:published_time\" content=\"2023-04-20T07:38:56+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-04-20T07:38:57+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/es\/wp-content\/blogs.dir\/7\/files\/2023\/04\/Group-106.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"768\" \/>\n\t<meta property=\"og:image:height\" content=\"444\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Daniel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:site\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/datascientest.com\/es\/herramientas-habituales-de-un-data-scientist#article\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/es\/herramientas-habituales-de-un-data-scientist\"},\"author\":{\"name\":\"Daniel\",\"@id\":\"https:\/\/datascientest.com\/es\/#\/schema\/person\/5a86e30c5090234fb43dd8baa83c44b0\"},\"headline\":\"Herramientas habituales de un Data Scientist\",\"datePublished\":\"2023-04-20T07:38:56+00:00\",\"dateModified\":\"2023-04-20T07:38:57+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/datascientest.com\/es\/herramientas-habituales-de-un-data-scientist\"},\"wordCount\":770,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/es\/#organization\"},\"articleSection\":[\"Carrera\"],\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/datascientest.com\/es\/herramientas-habituales-de-un-data-scientist#respond\"]}],\"copyrightYear\":\"2023\",\"copyrightHolder\":{\"@id\":\"https:\/\/datascientest.com\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/es\/herramientas-habituales-de-un-data-scientist\",\"url\":\"https:\/\/datascientest.com\/es\/herramientas-habituales-de-un-data-scientist\",\"name\":\"Herramientas habituales de un Data Scientist\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/es\/#website\"},\"datePublished\":\"2023-04-20T07:38:56+00:00\",\"dateModified\":\"2023-04-20T07:38:57+00:00\",\"description\":\"En la era del Big Data han surgido varios perfiles profesionales, entre ellos el de Data Scientist. 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