{"id":9122,"date":"2026-06-10T09:11:09","date_gmt":"2026-06-10T09:11:09","guid":{"rendered":"https:\/\/www.educa.pro\/moocs\/ciencia-de-datos\/"},"modified":"2026-06-10T09:11:09","modified_gmt":"2026-06-10T09:11:09","slug":"data-science","status":"publish","type":"mooc_course","link":"https:\/\/educa.pro\/en\/curso\/ciencia-de-datos\/","title":{"rendered":"Data Science"},"content":{"rendered":"<p>Thanks to this <strong>Postgraduate Diploma in Data Science<\/strong> You will gain in-depth knowledge, ranging from the fundamentals of data science to the practical application of key tools. The focus on databases <strong>relational and NoSQL data<\/strong>, together with data analysis in Python and R, provides a balanced overview. The inclusion of MongoDB and the use of programming languages such as <strong>programming languages such as Python and R<\/strong> enhances practical applicability. Furthermore, the focus on data pre-processing and processing, with an emphasis on <strong>ETL<\/strong> (Extraction, Transformation and Loading) and hypothesis testing will prepare you well for the challenges you\u2019ll face in your data science projects. What\u2019s more, you\u2019ll be supported by a teaching team specialising in this field.<\/p>","protected":false},"excerpt":{"rendered":"<p>This Diploma in Data Science is designed for students and IT professionals, developers, data analysts and anyone interested in the field of data science. No prior knowledge is required, making it accessible to beginners, but also valuable for those looking to improve their skills.<\/p>","protected":false},"featured_media":0,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"educalms_repo_code":"AFO028TDB","educalms_repo_id":"4457725","educalms_lang":"es","educalms_duration":"130","educalms_duration_type":"693","educalms_image":"https:\/\/cdn.educaedtech.com\/content\/Biblioteca%20de%20Imagenes%2FBanco%20de%20Imagenes%2FFotolia_136802980_Subscription_Monthly_L.jpg","educalms_tags":"An\u00e1lisis de datos, Bases de datos relacionales, Ciencia de datos, Data Science, etl, MongoDB, NoSQL, Python, R","educalms_tittle":"Ciencia de Datos","educalms_type_of_training":"752","educalms_description":"<p>Gracias a este <strong>Diplomado en Ciencia de Datos<\/strong> tendr\u00e1s conocimientos profundos, desde los fundamentos de la Ciencia de Datos, hasta la aplicaci\u00f3n pr\u00e1ctica de herramientas clave. El enfoque en bases de <strong>datos relacionales y NoSQL<\/strong>, junto con el an\u00e1lisis de datos en Python y R, proporciona una visi\u00f3n equilibrada. La inclusi\u00f3n de MongoDB y el uso de lenguajes de <strong>programaci\u00f3n como Python y R<\/strong> refuerza la aplicabilidad pr\u00e1ctica. Adem\u00e1s, la atenci\u00f3n en el preprocesamiento y procesamiento de datos, con \u00e9nfasis en <strong>ETL<\/strong> (Extracci\u00f3n, Transformaci\u00f3n y Carga) y pruebas de hip\u00f3tesis, te preparar\u00e1 bastante para los desaf\u00edos en los proyectos que tengas de Ciencia de Datos. Adem\u00e1s, contar\u00e1s con un equipo docente especializado en la materia.<\/p>","educalms_objectives":"<ul><li><p>Comprender los fundamentos de la <strong>Ciencia de Datos<\/strong> y las herramientas esenciales.<\/p><\/li><li><p><strong>Profundizar<\/strong> en bases de datos relacionales, abordando <strong>modelos, claves, e \u00edndices.<\/strong><\/p><\/li><li><p>Explorar <strong>bases de datos NoSQL<\/strong>, comparando con las relaciones y aplicando el teorema de CAP.<\/p><\/li><li><p>Adquirir habilidades pr\u00e1cticas con <strong>MongoDB<\/strong>, desde la instalaci\u00f3n hasta consultas avanzadas.<\/p><\/li><li><p><strong>Aplicar Python<\/strong> para el an\u00e1lisis de datos y entender su integraci\u00f3n con MongoDB y <strong>Hadoop.<\/strong><\/p><\/li><li><p>Dominar R como herramienta para <strong>Big Data<\/strong>, explorando <strong>tipos de datos<\/strong> y estad\u00edsticas predictivas.<\/p><\/li><li><p><strong>Asimilar t\u00e9cnicas de preprocesamiento<\/strong> y procesamiento de datos, incluyendo ETL y pruebas de hip\u00f3tesis.<\/p><\/li><\/ul>","educalms_what_prepares_you_for":"<p>Este <strong>Diplomado en Ciencia de Datos<\/strong> te prepara para destacar en el campo de la Ciencia de datos, proporcionando habilidades en bases de <strong>datos relacionales y NoSQL<\/strong>, an\u00e1lisis de datos con <strong>Python y R<\/strong> y t\u00e9cnicas avanzadas de procesamiento y preprocesamiento con ETL. Al finalizar, estar\u00e1s equipado\/a y tendr\u00e1s confianza para enfrentarte a los <strong>desaf\u00edos de la Ciencia de datos<\/strong> que se te presenten en tu carrera.<\/p>","educalms_audience":"<p>Este <strong>Diplomado en Ciencia de Datos<\/strong> est\u00e1 dise\u00f1ado para estudiantes y <strong>profesionales de IT, desarrolladores\/as, analistas de datos<\/strong> y cualquier persona interesada en el \u00e1mbito de la Ciencia de datos. No se requieren conocimientos previos, haciendo que sea accesible para principiantes, pero tambi\u00e9n valioso para quienes buscan mejorar sus habilidades.<\/p>","educalms_academies":"924","educalms_area_group":"Sectorial","educalms_area_id":"33","educalms_area_name":"Programaci\u00f3n","educalms_academy_ids":"924"},"mooc_category":[1056,1010,977],"class_list":["post-9122","mooc_course","type-mooc_course","status-publish","hentry","mooc_category-desarrollo-de-big-data-y-business-intelligence","mooc_category-programacion","mooc_category-sectorial"],"_links":{"self":[{"href":"https:\/\/educa.pro\/en\/wp-json\/wp\/v2\/mooc_course\/9122","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/educa.pro\/en\/wp-json\/wp\/v2\/mooc_course"}],"about":[{"href":"https:\/\/educa.pro\/en\/wp-json\/wp\/v2\/types\/mooc_course"}],"wp:attachment":[{"href":"https:\/\/educa.pro\/en\/wp-json\/wp\/v2\/media?parent=9122"}],"wp:term":[{"taxonomy":"mooc_category","embeddable":true,"href":"https:\/\/educa.pro\/en\/wp-json\/wp\/v2\/mooc_category?post=9122"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}