Atlantis University - Online Campus

Este curso presenta los conceptos, el vocabulario y los procedimientos asociados con el comercio ligado a la Internet. Con la tecnología digital y las nuevas formas de gestión de la información se abre un nuevo espacio de comercialización, por lo cual, este curso está diseñado para proporcionar una comprensión sólida de la aplicación de comercio electrónico para el entorno empresarial con el fin de ofrecer una visión general de todos los aspectos del comercio electrónico, sus ventajas, aplicaciones y canales de servicio, así como beneficios de su aplicación en los negocios modernos.

This course provides a comprehensive understanding to the world of big data and analytics. Big data is now a reality, the volume, variety, and velocity of data coming into the enterprise continues at an unprecedented level. Data analytics is the process of examining data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. In this course, students will learn how to connect and visualize complex data by utilizing techniques such as aggregators, time series, dashboard customization, storytelling, metadata grids, dual axis charts, etc. Basic statistical methods will be used such as regression, central tendency, and dispersion.  

Las telecomunicaciones y los métodos en los que las empresas se conectan a los centros de datos han experimentado un cambio significativo en la arquitectura, principalmente de un enfoque basado en hardware a uno basado en gran medida en software y virtualización. Esta semana se centrará principalmente en la comprensión y comparación esencial del modelo tradicional frente al nuevo modelo virtual como un preludio fundamental para explorar la computación basada en la nube. También examinaremos los principales modelos de entrega de Cloud Computing (SaaS, PaaS e IaaS).

This course provides a comprehensive understanding to the world of big data and analytics. Big data is now a reality, the volume, variety, and velocity of data coming into the enterprise continues at an unprecedented level. Data analytics is the process of examining data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. In this course, students will learn how to connect and visualize complex data by utilizing techniques such as aggregators, time series, dashboard customization, storytelling, metadata grids, dual axis charts, etc. Basic statistical methods will be used such as regression, central tendency, and dispersion. 

This course provides a comprehensive understanding to the world of big data and analytics. Big data is now a reality, the volume, variety and velocity of data coming into the enterprise continues at an unprecedented level. 

Data analytics is the process of examining data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. 

In this course, you will learn how to connect and visualize complex data by utilizing techniques such as aggregators, time series, dashboard customization, storytelling, metadata grids, dual axis charts, etc. Basic statistical methods will be used such as regression, central tendency, and dispersion.  

This course provides a hands-on comprehensive study of Cloud concepts and capabilities across the various Cloud service models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Business Process as a Service (BPaaS), as part of data growing issues. Students will be  encouraged to go over the answer for the main data issues. This course allows students to research options,proposals and case studies which will prepare them to make informed choices  for consulting opportunities for presenting proposals and relevant information for I.T. company's decision making.