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Temario

MODULE 1. BIG DATA AND BUSINESS INTELLIGENCE

MODULE 2. WEB ANALYTICS

MODULE 3. DATA SCIENCE

MODULE 4. DATA ANALYSIS WITH PYTHON

MODULE 5. DATA VISUALIZATION

MODULE 6. DATA VISUALIZATION IN R WITH GGPLOT2

MODULE 7. MASTER'S FINAL PROJECT (MFP)

Plan de estudios

Resumen salidas profesionales
Big Data has emerged as an indispensable area for all types of companies. Data has become the most coveted currency, so much so that many technology-based start-ups no longer pay their partners with money but with confidential and highly valuable information for business development. Do you want to be one of the professionals leading the data science field? We recommend the Master´s Degree in Data Science from Esibe. Whereas previously only large companies had access to data sources and the most expensive and sophisticated tools to extract them, now, the world of big data has been democratized and offers services tailored to the possibilities of each business.

Objetivos
- To delve into the fundamentals of data science. - To learn the latest techniques for data extraction and management, as well as SQL. – To become familiar with the most effective marketing strategies based on data analysis. - To implement new models and data mining techniques. - To design business growth projects for which data management will be essential. - To be able to identify and enhance the success factors that drive a company through the cross-referencing of information obtained from its activities in the digital environment.
Salidas profesionales
The professional opportunities Master´s Degree in Data Science offers are countless. You will be able to work alongside management teams in decision-making, as a market analyst, digital manager, data architect, chief data officer, and in many other emerging professions.
Para qué te prepara
The main purpose of this Master´s Degree in Data Science is to offer comprehensive and updated training on the world of big data. By obtaining a global view of this field and understanding its fundamentals, professionals will be able to develop the most efficient strategies for their companies and choose the tools that best suit their needs. In terms of technical level, this master's will delve into SQL language, relational database operation, data mining and Weka techniques, scalable storage and cybersecurity to ensure that all extracted information remains under control. As you can see, this master's contains a wide range of topics that will allow you to master the most essential aspects of big data.

A quién va dirigido
This Master´s Degree in Data Science is aimed at all professionals in the business world who want to start exploring the world of data and benefit from its full potential. You will start by understanding the most general concepts and then move on to the more technical aspects to obtain a comprehensive learning experience that will allow you to develop data science-based projects.

Metodología
Aprendizaje online gif Aprendizaje online
Aprendizaje 100% online
Plataforma web en la que se encuentra todo el contenido de la acción formativa. A través de ella podrá estudiar y comprender el temario mediante actividades prácticas, autoevaluaciones y una evaluación final.
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Campus virtual
Accede al campus virtual desde cualquier dispositivo, las 24 horas del día. Contando con acceso ilimitado a los contenidos de este curso.
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Equipo docente especializado
El alumnado cuenta con un equipo de profesionales en esta área de formación, ofreciéndole un acompañamiento personalizado.
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Contacta a través de teléfono, chat y/o email. Obtendrás una respuesta en un tiempo máximo de 24/48 horas en función de la carga docente.

Titulación de master´s degree in data science

Master´s Degree in Continuing Education in Data Science (60 ECTS credits) by Antonio de Nebrija University
NebrijaEUROINNOVA
NEBRIJA_MASTER_DIPLOMA

Claustro docente

Euroinnova International Online Education
Isaías Aranda Cano

Docente de la facultad de ciencia de datos e inteligencia artificial

Euroinnova International Online Education
Daniel Cabrera Armenteros

Docente de la facultad de ciencia de datos e inteligencia artificial

Euroinnova International Online Education
Alan Sastre

Docente de la facultad de ingeniería

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