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Máster en Business Intelligence y Big Data

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About this course

This Master of Continuing Education in Business Intelligence and Big Data is aimed at a wide range of profiles and is applicable to any sector, since it is suitable for all those who want to acquire knowledge about data analysis and data process...

University degree

1500 h

Online

60 ECTS (Créditos)

Qualification of Máster en Business Intelligence y Big Data

Double Degree:

University's own Master's Degree in Lifelong Learning in Business Intelligence and Big Data issued by the Universidad Antonio de Nebrija with 60 ECTS credits.

Certification Issued by Universidad Antonio de Nebrija

University's own Master's Degree of Continuing Education in Business Intelligence and Big Data, issued and endorsed by the European Institute of Business Studies (INESEM) "Non-official education and not conducive to obtaining a degree with official status or certificate of professionalism."

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Objectives

Understand why Big Data and Business Intelligence are key to the digital transformation of a company.

To know the role of Big Data as a source of information for strategic decision making.

Apply the main techniques of data mining and data analysis.

Use tools such as Hadoop, Weka, MongoDB or MySQL to store, manage and analyze data.

Program in Python and R languages oriented to data analysis and visualization.

Learn how to create professional data visualizations with Tableau, Qlikview or PowerBI.

Content

Methodology

Con nuestra metodología de aprendizaje online, el alumno comienza su andadura en INESEM Business School a través de un campus virtual diseñado exclusivamente para desarrollar el itinerario formativo con el objetivo de mejorar su perfil profesional. El alumno debe avanzar de manera autónoma a lo largo de las diferentes unidades didácticas así como realizar las actividades y autoevaluaciones correspondientes. La carga de horas de la acción formativa comprende las diferentes actividades que el alumno realiza a lo largo de su itinerario. Las horas de teleformación realizadas en el Campus Virtual se complementan con el trabajo autónomo del alumno, la comunicación con el docente, las actividades y lecturas complementarias y la labor de investigación y creación asociada a los proyectos. Para obtener la titulación el alumno debe aprobar todas la autoevaluaciones y exámenes y visualizar al menos el 100% de los contenidos de la plataforma. El Proyecto Fin de Máster se realiza tras finalizar el contenido teórico-práctico en el Campus. Para aprobarlo es necesaria una nota mínima de 5. Por último, es necesario notificar la finalización del Máster desde la plataforma para comenzar la expedición del título.

What does it prepare you for?

Thanks to this Master of Continuing Education in Business Intelligence and Big Data you will learn the fundamental aspects of these technologies, managing to analyze data from a multitude of sources that allow you to make strategic decisions quickly and efficiently. You will use tools such as Hadoop, Weka, Tableau, PowerBI or Google Analytics and programming languages such as Python and R to analyze and visualize information.

Who is it aimed at?

Career opportunities

Any company seeks to differentiate itself from its competitors and gain a competitive advantage by making strategic decisions based on big data analysis. Thanks to this Master of Continuing Education in Business Intelligence and Big Data you will opt for positions such as Data Analyst, Business Intelligence Expert, Big Data Engineer, Visual Analyst or Data Scientist.