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Introducción a la Ciencia de Datos y el Big Data (edX)

Introducción a la Ciencia de Datos y el Big Data (edX)

Obtén un panorama general de lo que es Data Science o Ciencia de Datos y cómo aplicarla en las organizaciones. Aprende a tomar decisiones basadas en los datos. El futuro pertenece a la ciencia de datos y a quienes la entiendan. Al igual que el petróleo y el gas impulsaron las economías de los siglos XX y XXI, los datos impulsan cada vez mas la innovación y la economía global a medida que avanzamos hacia una nueva era denominada la revolución digital.

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Las empresas que están cambiando a una mentalidad de datos van a obtener primero una enorme ventaja competitiva.
Esto se ha convertido en una verdad universal: las empresas modernas se están inundando de big data. El año pasado, McKinsey estimó que las iniciativas de Big Data en el sistema de salud de los Estados Unidos, "podrían representar de $300 mil millones a $450 mil millones en gastos de salud reducidos o del 12 al 17 por ciento de la línea de base de $2.6 billones en costos de salud de los Estados Unidos". Por otro lado, sin embargo se estima que los datos erróneos le cuestan a los Estados Unidos apróximadamente $3.1 trillones de dólares al año.
Aunque la ciencia de datos representará ventajas puntuales para las empresas como mitigar el riesgo y/o el fraude; entregar al cliente productos relevantes y tener experiencias personalizadas al mismo, es sin embargo, importante notar que la ciencia de datos podrá agregar un valor a cuaquier negocio, siempre y cuando pueda usar bien sus datos. El análisis de la información y la inteligencia de negocios ayudan a las organizaciones a tomar decisiones inteligentes basadas en el análisis de datos.
This course is part of the Ciencia de Datos Professional Certificate.

What you'll learn

  • Introducir al alumno en los conceptos claves sobre la Ciencia de Datos y Big Data.
  • Comprender la forma en la que se gesta un proyecto de Ciencia de Datos.
  • Identificar los proyectos de esta disciplina que se pueden realizar en las diferentes áreas funcionales de una organización a través de casos de éxito en las diferentes industrias.
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