{"id":10385,"date":"2021-07-13T17:44:35","date_gmt":"2021-07-13T12:44:35","guid":{"rendered":"https:\/\/solarxess.com\/blog\/?p=10385"},"modified":"2024-02-03T04:06:11","modified_gmt":"2024-02-02T23:06:11","slug":"ciencia-de-datos","status":"publish","type":"post","link":"https:\/\/solarxess.com\/blog\/ciencia-de-datos\/","title":{"rendered":"Ciencia de datos\u200b"},"content":{"rendered":"<p>Las nanodegrees de Udacity tienen un precio casi id\u00e9ntico, lo que significa que se aplica el mismo precio a este curso que el mencionado anteriormente &#8211;&nbsp;$1486 si el curso completo se paga de una vez y $432 al mes si se pagan de forma &nbsp;individual. Hablando de d\u00edas y vidas, muchos de ustedes se estar\u00e1n preguntando cu\u00e1nto tiempo llevar\u00e1 terminar todo el curso. Como se mencion\u00f3 anteriormente, el curso es extenso y detallado, y se completar\u00eda en aproximadamente 1 a\u00f1o y 5 meses, y se estima que cada m\u00f3dulo tome alrededor de 7 semanas.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"data:image\/jpeg;base64,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\" width=\"309px\" alt=\"Curso de Cient\u00edfico de Datos\"\/><\/p>\n<p>La comunidad DatAlumni es una comunidad de LinkedIn que re\u00fane a antiguos alumnos de DataScientest. En esa p\u00e1gina, se comparten preguntas, consejos y novedades tecnol\u00f3gicas de las que todos pueden beneficiarse. Paralelamente, enviamos regularmente newsletters redactados por nuestros Data Scientists y suponen una fuente fiable de informaci\u00f3n especializada en Data Science.<\/p>\n<h2>Convertirse en Cient\u00edfico de Datos &#8211; Nanodegree Udacity Todo-en-uno (Inscr\u00edbete Aqu\u00ed)<\/h2>\n<p>Algunos bootcamps de cient\u00edficos de datos pueden ser \u00fatiles para que te emplees como cient\u00edfico de datos. Muchos de estos bootcamps duran solo 12 semanas y ofrecen estructuras de pago despu\u00e9s de ser contratado. Sin embargo, dado que el 80 por ciento de los cient\u00edficos de datos tienen t\u00edtulos de maestr\u00eda, ser\u00eda mejor que obtuvieras un t\u00edtulo de maestr\u00eda si quieres maximizar tu potencial de ingresos. Es posible conseguir un trabajo de cient\u00edfico de datos de nivel de entrada con un certificado de bootcamp\u2014tambi\u00e9n puedes tomar bootcamps de codificaci\u00f3n para mejorar tus habilidades del \u00e1mbito. La predicci\u00f3n de tendencias y comportamientos futuros permite tomar decisiones proactivas basadas en los datos.<\/p>\n<p>Aprender\u00e1 a analizar datos, crearate visualizaciones y aplicar potentes algoritmos de aprendizaje autom\u00e1tico. Puedes mejorar tu comprensi\u00f3n.anding de Python y sus bibliotecas, incluidas NumPy, Pandas y Matplotlib, a trav\u00e9s de varios ejercicios. Miles de estudiantes de todo el mundo se han inscrito en este curso y han descubierto que es un recurso valioso para mejorar sus habilidades en ciencia de datos y aprendizaje autom\u00e1tico. ProfiLa eficiencia en lenguajes de programaci\u00f3n como Python o R es crucial para la ciencia de datos. Simplemente comience aprendiendo los conceptos b\u00e1sicos del lenguaje de programaci\u00f3n elegido, incluida la sintaxis, las estructuras de datos y el flujo de control. Utilizar en l\u00ednea  codificaci\u00f3n platFormularios, tutoriales y ejercicios de codificaci\u00f3n para practicar la escritura de c\u00f3digo.<\/p>\n<h2>Aprende an\u00e1lisis de datos<\/h2>\n<p>Una vez que tengas una base s\u00f3lida, el curso profundiza en el process de transformar y limpiar datos. Sumaally, descubrir\u00e1s c\u00f3mo crearate descriptive statistics, que le permiten resumir y obtener informaci\u00f3n de sus datos de manera efectiva. Al principio, aprender\u00e1 los fundamentos de SQL, incluido c\u00f3mo escribir consultas para recuperar datos de tablas. El graduado del cursoally le presenta consultas m\u00e1s complejas y le ense\u00f1a t\u00e9cnicas <a href=\"https:\/\/www.diginota.com\/el-mejor-bootcamp-de-programacion-en-el-mundo-por-que-elegir-tripleten-para-entrar-en-ti\/\">https:\/\/www.diginota.com\/el-mejor-bootcamp-de-programacion-en-el-mundo-por-que-elegir-tripleten-para-entrar-en-ti\/<\/a> para filtrar y refinar sus resultados. Trabajar\u00e1 con diferentes tipos de datos, como cadenas y n\u00fameros, y obtendr\u00e1 experiencia pr\u00e1ctica en la manipulaci\u00f3n de datos mediante la creaci\u00f3n de nuevas tablas  y el movimiento de datos entre ellas. Las Certificado profesional de an\u00e1lisis de datos de Googleate ofrecido en Coursera es un excelente programa dise\u00f1ado para brindar capacitaci\u00f3n profesional en el campo del an\u00e1lisis de datos.<\/p>\n<ul>\n<li>Como el campo del aprendizaje autom\u00e1tico es realmente extenso, evidentemente cubrir todo el material llevar\u00e1 m\u00e1s tiempo, se estima que este curso de ciencia de datos se completar\u00e1 en unas 60 horas.<\/li>\n<li>Aprende tu lenguaje de programaci\u00f3n favorito hasta el punto de que puedas usarlo con fluidez en cualquier situaci\u00f3n para darte una ventaja en la industria de la ciencia de datos.<\/li>\n<li>Entiende el proceso para desarrollar proyectos basados en datos, principalmente de ciencia de datos, desde la formulaci\u00f3n del problema hasta la evaluaci\u00f3n e interpretaci\u00f3n de los modelos, usando herramientas y lenguajes de un cient\u00edfico de datos.<\/li>\n<li>El curso est\u00e1 dise\u00f1ado para quienes buscan adquirir o ampliar sus conocimientos en el \u00e1rea de la ciencia de datos.<\/li>\n<\/ul>\n<p>Como se mencion\u00f3 anteriormente, todos los programas de Coursera siguen una estructura similar. Este curso de ciencia de datos no es una excepci\u00f3n, y consta de 4 semanas de contenido dividido en 4 m\u00f3dulos, cada uno de estos incluye videos y material de lectura, as\u00ed como ejercicios de pr\u00e1ctica. El curso tambi\u00e9n incluye m\u00faltiples estudios de casos y ejemplos de aplicaciones del aprendizaje autom\u00e1tico, lo que le permite a los usuarios aprender a aplicar sus conocimientos de forma pr\u00e1ctica. En este momento, hay cientos de plataformas MOOC que ofrecen <a href=\"https:\/\/www.diginota.com\/el-mejor-bootcamp-de-programacion-en-el-mundo-por-que-elegir-tripleten-para-entrar-en-ti\/\">bootcamp de programaci\u00f3n<\/a> cursos de ciencia de datos de alta calidad, y algunas, como edX, incluso se asocian con universidades de reconocimiento mundial para ofrecerte los mejores cursos de ciencia de datos. Entiende el proceso para desarrollar proyectos basados en datos, principalmente de ciencia de datos, desde la formulaci\u00f3n del problema hasta la evaluaci\u00f3n e interpretaci\u00f3n de los modelos, usando herramientas y lenguajes de un cient\u00edfico de datos. El curso est\u00e1 dise\u00f1ado para quienes buscan adquirir o ampliar sus conocimientos en el \u00e1rea de la ciencia de datos.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Las nanodegrees de Udacity tienen un precio casi id\u00e9ntico, lo que significa que se aplica el mismo precio a este curso que el mencionado anteriormente &#8211;&nbsp;$1486 si el curso completo se paga de una vez y $432 al mes si se pagan de forma &nbsp;individual. Hablando de d\u00edas y vidas, muchos de ustedes se estar\u00e1n [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-10385","post","type-post","status-publish","format-standard","hentry","category-blog"],"_links":{"self":[{"href":"https:\/\/solarxess.com\/blog\/wp-json\/wp\/v2\/posts\/10385","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/solarxess.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/solarxess.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/solarxess.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/solarxess.com\/blog\/wp-json\/wp\/v2\/comments?post=10385"}],"version-history":[{"count":1,"href":"https:\/\/solarxess.com\/blog\/wp-json\/wp\/v2\/posts\/10385\/revisions"}],"predecessor-version":[{"id":10386,"href":"https:\/\/solarxess.com\/blog\/wp-json\/wp\/v2\/posts\/10385\/revisions\/10386"}],"wp:attachment":[{"href":"https:\/\/solarxess.com\/blog\/wp-json\/wp\/v2\/media?parent=10385"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/solarxess.com\/blog\/wp-json\/wp\/v2\/categories?post=10385"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/solarxess.com\/blog\/wp-json\/wp\/v2\/tags?post=10385"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}