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You'll learn everything from the basics\u2014including how to install and set up Python\u2014to mastering libraries such as <strong>Matplotlib <\/strong>y <strong>Seaborn <\/strong>for data visualization. This training will provide you with the skills needed to turn raw data into valuable insights, enabling you to clean, transform, and understand complex datasets. Start your training in a booming industry and open the door to countless opportunities.<\/p>","protected":false},"excerpt":{"rendered":"<p>The \"Data Science with Python: Introduction to Data Analysis\" course is designed for professionals interested in entering the world of data analysis using Python. It is ideal for those who want to master the basics of this tool\u2014from installation to data visualization\u2014as well as for those looking to update their skills.<\/p>","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false,"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-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":"","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-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":"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":""},"mobile":{"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":""}},"educalms_repo_code":"AFO028Y9L","educalms_repo_id":"4629072","educalms_lang":"es","educalms_duration":"7","educalms_duration_type":"693","educalms_image":"https:\/\/cdn.educaedtech.com\/content\/Biblioteca%20de%20Imagenes%2FBanco%20de%20Imagenes%2FAdobeStock_45313984.jpeg","educalms_tags":"Data Science, Python, An\u00e1lisis de datos, Matplotlib, Seaborn, Datos, Gr\u00e1ficos, Visualizaciones, Scripts","educalms_tittle":"Data Science con Python: Introducci\u00f3n al an\u00e1lisis de datos","educalms_type_of_training":"3601","educalms_description":"<p>En la era digital actual, el <strong>an\u00e1lisis de datos<\/strong> se ha convertido en la clave para la toma de decisiones estrat\u00e9gicas en todos los sectores. Con la formaci\u00f3n de <strong>Data Science con Python: introducci\u00f3n al an\u00e1lisis de datos<\/strong>, te sumergir\u00e1s en el fascinante mundo del an\u00e1lisis de datos utilizando <strong>Python<\/strong>, una herramienta ampliamente demandada. Aprender\u00e1s desde los primeros pasos con la instalaci\u00f3n y configuraci\u00f3n de Python hasta el dominio de bibliotecas como <strong>Matplotlib <\/strong>y <strong>Seaborn <\/strong>para la visualizaci\u00f3n de datos. Esta formaci\u00f3n te proporcionar\u00e1 las habilidades necesarias para convertir datos crudos en informaci\u00f3n valiosa, capacit\u00e1ndote para limpiar, transformar y entender conjuntos de datos complejos. Comienza tu formaci\u00f3n en un sector en auge y abre las puertas a innumerables oportunidades.<\/p>","educalms_objectives":"<ul><li><p>Dominar las bases de <strong>Python&nbsp;<\/strong>para aplicarlo en<strong> Data Science<\/strong>.<\/p><\/li><li><p><strong>Instalar&nbsp;<\/strong>y <strong>configurar<\/strong>&nbsp;Python para su uso en an\u00e1lisis de datos.<\/p><\/li><li><p>Escribir <strong>scripts <\/strong>b\u00e1sicos en Python para manipular datos.<\/p><\/li><li><p>Explorar&nbsp;<strong>bibliotecas&nbsp;<\/strong>de Python para transformar datos en informaci\u00f3n.<\/p><\/li><li><p>Trabajar con <strong>estructuras <\/strong>de datos y&nbsp;<strong>tipos <\/strong>b\u00e1sicos en Python.<\/p><\/li><li><p>Visualizar datos mediante <strong>Matplotlib&nbsp;<\/strong>y mejorar gr\u00e1ficos con <strong>Seaborn<\/strong>.<\/p><\/li><\/ul>","educalms_what_prepares_you_for":"<p>La formaci\u00f3n de <strong>Data Science con Python: introducci\u00f3n al an\u00e1lisis de datos<\/strong> te capacita para manejar y transformar datos de manera eficiente. Aprender\u00e1s a <strong>escribir scripts<\/strong> b\u00e1sicos y utilizar bibliotecas como <strong>Matplotlib <\/strong>y <strong>Seaborn <\/strong>para visualizar datos. Desarrollar\u00e1s habilidades para <strong>limpiar <\/strong>y <strong>transformar <\/strong>datos, permiti\u00e9ndote descubrir patrones y tendencias. Al finalizar, estar\u00e1s preparado para analizar de manera efectiva tus propios datos.<\/p>","educalms_audience":"<p>La formaci\u00f3n de <strong>Data Science con Python: introducci\u00f3n al an\u00e1lisis de datos <\/strong>est\u00e1 dirigida a <strong>profesionales<\/strong> con inter\u00e9s en adentrarse en el mundo del an\u00e1lisis de datos utilizando <strong>Python<\/strong>. Ideal para quienes desean dominar las bases de esta herramienta, desde la <strong>instalaci\u00f3n <\/strong>hasta la <strong>visualizaci\u00f3n de datos<\/strong> y para quienes buscan actualizar sus habilidades.<\/p>","educalms_academies":"969","educalms_area_group":"Transversal","educalms_area_id":"3","educalms_area_name":"Competencias Digitales","educalms_academy_ids":"969"},"mooc_category":[251,250,249],"class_list":["post-29500","mooc_course","type-mooc_course","status-publish","mooc_category-academy-969","mooc_category-area-3","mooc_category-group-transversal"],"acf":[],"_links":{"self":[{"href":"https:\/\/educapharos.com\/en\/wp-json\/wp\/v2\/mooc_course\/29500","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/educapharos.com\/en\/wp-json\/wp\/v2\/mooc_course"}],"about":[{"href":"https:\/\/educapharos.com\/en\/wp-json\/wp\/v2\/types\/mooc_course"}],"wp:attachment":[{"href":"https:\/\/educapharos.com\/en\/wp-json\/wp\/v2\/media?parent=29500"}],"wp:term":[{"taxonomy":"mooc_category","embeddable":true,"href":"https:\/\/educapharos.com\/en\/wp-json\/wp\/v2\/mooc_category?post=29500"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}