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	<title>Tuncer Mühendislik &#187; Bootcamp de programación</title>
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		<title>Ciencia de los Datos IBM Analytics México</title>
		<link>http://www.tuncer.com.tr/ciencia-de-los-datos-ibm-analytics-mexico/</link>
		<comments>http://www.tuncer.com.tr/ciencia-de-los-datos-ibm-analytics-mexico/#comments</comments>
		<pubDate>Thu, 24 Nov 2022 14:02:03 +0000</pubDate>
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				<category><![CDATA[Bootcamp de programación]]></category>

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		<description><![CDATA[Los casos de uso comunes incluyen la optimización de procesos a través de la automatización inteligente y la orientación y personalización mejoradas para mejorar la experiencia del cliente (CX). Puede ser fácil confundir los términos &#8220;ciencia de datos&#8221; e &#8220;inteligencia empresarial&#8221; (BI) porque ambos están relacionados con los datos de una organización y el análisis [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>Los casos de uso comunes incluyen la optimización de procesos a través de la automatización inteligente y la orientación y personalización mejoradas para mejorar la experiencia del cliente (CX). Puede ser fácil confundir los términos &#8220;ciencia de datos&#8221; e &#8220;inteligencia empresarial&#8221; (BI) porque ambos están relacionados con los datos de una organización y el análisis de esos datos, pero difieren en el enfoque. Conviértete en científico de datos y aprende a construir modelos estadísticos, resolver problemas y expandir la estrategia comercial basada en algoritmos de Machine Learning y Big Data. Crea tus primeros proyectos e inicia tu carrera en uno de los mercados de mayor crecimiento. Los científicos de datos colaboran en equipos con profesionales de informática, estadística y profesiones específicas como finanzas, marketing y sanidad, ya que se trata de un campo interdisciplinar. Los científicos de datos tienen que trabajar con varias partes interesadas y con administradores empresariales para definir el problema que se debe resolver.</p>
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" width="306px" alt="que es ciencia de datos"/></p>
<p>Un científico de datos combina programación, matemáticas y conocimiento del<br />
dominio para responder preguntas utilizando datos. Con tanta información a la que tienes acceso actualmente, ¿te has <a href="https://elmanana.com.mx/tecnologia/2023/11/24/un-curso-de-analista-de-datos-para-integrarse-al-sector-ti-112671.html">https://elmanana.com.mx/tecnologia/2023/11/24/un-curso-de-analista-de-datos-para-integrarse-al-sector-ti-112671.html</a> preguntado lo que puedes lograr si la gestionas y analizas de la forma adecuada? Ya existe una disciplina que se enfoca en eso, precisamente, y queremos que empieces a familiarizarte con ella.</p>
<h2>¿Quiénes son los científicos de datos?</h2>
<p>Por ejemplo, una compañía de envíos que use camiones utiliza la ciencia de datos para reducir el tiempo de inactividad si los camiones se rompen. Identifican las rutas y los patrones de turnos que propician averías más rápidas y ajustan los horarios de los camiones. Además, crean un inventario de piezas de repuesto comunes que se necesitan sustituir con frecuencia para que los camiones se puedan reparar con mayor rapidez. La inteligencia artificial y las innovaciones del machine learning han hecho que el procesamiento de datos sea más rápido y eficiente. La demanda del sector ha creado un ecosistema de cursos, grados académicos y puestos de trabajo en el campo de la ciencia de datos.</p>
<div style='border: grey dashed 1px;padding: 11px;'>
<h3>Colección de Actas de Economía y Complejidad &#8211; COMECSO &#8211; comecso</h3>
<p>Colección de Actas de Economía y Complejidad &#8211; COMECSO.</p>
<p>Posted: Mon, 27 Nov 2023 17:50:51 GMT [<a href='https://news.google.com/rss/articles/CBMiTGh0dHBzOi8vd3d3LmNvbWVjc28uY29tL2V2ZW50b3MvY29sZWNjaW9uLWRlLWFjdGFzLWRlLWVjb25vbWlhLXktY29tcGxlamlkYWTSAQA?oc=5' rel="nofollow">source</a>]</p>
</div>
<p>El análisis predictivo utiliza las tendencias de los datos para detectar peligros y oportunidades para las empresas. Sin embargo, en equipos más pequeños, un científico de datos puede cumplir varias funciones.  En función de la experiencia, las aptitudes y la formación, pueden desempeñar varios roles que se superpongan entre sí. En este caso, sus responsabilidades diarias podrían incluir la ingeniería, el análisis y el machine learning, además de las metodologías básicas de la ciencia de datos. Los científicos de datos trabajan junto a los analistas y las empresas para convertir la información de datos en acción.</p>
<h2>¿Cuáles son las diferentes herramientas de la ciencia de datos?</h2>
<p>Google también trabajar con la familia inmediata para cerrar la cuenta de un ser querido fallecido y/o proporcionar algún contenido de la cuenta, caso por caso. Las mismas se encuentran repartidas en diversas regiones del país, por lo que se puede elegir estudiar en diversas ciudades. En 1974 el científico danés, Peter Naur, utilizó el término como sustituto de las ciencias computacionales en su libro “Concise Survey of Computer Methods”.</p>
<ul>
<li>Invierta en acciones, opciones, futuros, divisas, bonos y fondos de todo el mundo desde una sola plataforma unificada.</li>
<li>SA pesar de lo que se piensa, los científicos de datos no son los únicos que<br />
usan data science.</li>
<li>Es decir, que extrae la utilidad de los datos para uno o varios objetivos determinados.</li>
</ul>
<p>Tom Davenport —el llamado gurú de la analítica moderna— calificó a la Ciencia de Datos como “el trabajo más sexy del siglo XXI”, ¿pero en qué consiste esta labor? Para despejar dudas, y para despertar vocaciones, el Instituto de Investigaciones en Matemáticas Aplicadas <a href="https://elmanana.com.mx/tecnologia/2023/11/24/un-curso-de-analista-de-datos-para-integrarse-al-sector-ti-112671.html">Un curso de analista de datos para integrarse al sector TI</a> y en Sistemas (IIMAS) de la UNAM invita a participar en sus pláticas informativas para ingresar a dicha licenciatura. Son conscientes de que TikTok se basa más en las dotes dramatúrgicas y Snapchat en  la cara, pero Instagram es la red del físico y el estilo de vida.</p>
<h2>¿Cuales son las vías de formación o carreras para ser un científico de datos?</h2>
<p>Estos sistemas de almacenamiento brindan flexibilidad a los usuarios finales, lo que les permite activar grandes clústeres según sea necesario. También pueden agregar nodos de computación incrementales para agilizar los trabajos de procesamiento de datos, lo que permite que la empresa realice compensaciones a corto plazo para obtener un resultado mayor a largo plazo. Las plataformas en la nube suelen tener diferentes modelos de precios, como por uso o suscripciones, para satisfacer las necesidades de su usuario final, ya sean grandes empresas o pequeñas startups. Antes de entrar en materia, tenemos que ofrecer una definición de lo que es la ciencia de datos o data science. Se trata de un conjunto de herramientas que utiliza métodos, procesos, algoritmos y sistemas científicos para extraer información valiosa de los datos en bruto.</p>
<p>Para realizar estas tareas, los científicos de datos deben tener más conocimientos de ciencia informática y ciencias puras que un analista de negocio o analista de datos típico. El científico de datos también debe comprender los conceptos específicos del negocio, como la fabricación de automóviles, el comercio electrónico o la atención sanitaria. Es decir, la ciencia de datos es aquella relacionada con la gestión de bases de datos, almacenados en archivos digitales, de los cuales se puede extraer mucha información útil como indicadores estadísticos.</p>
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