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Acreditados como Google Partner

Temario

MODULE 1. BIG DATA

MODULE 2. DATA SCIENCE

MODULE 3. BUSINESS INTELLIGENCE

MODULE 4. DATA ANALYSIS WITH PYTHON

MODULE 5. DATA VISUALIZATION IN R WITH GGPLOT2

MODULE 6. ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND DEEP LEARNING

MODULE 7. NLP, CHATBOTS, AND ARTIFICIAL INTELLIGENCE

MODULE 8. ARTIFICIAL VISION IN INDUSTRY 4.0 WITH PYTHON AND OPENCV

MODULE 9. MASTER'S FINAL PROJECT (MFP)

Plan de estudios

Resumen salidas profesionales
The importance of Big Data has risen in recent years as a result of the exponential increase in the amount of generated and stored data. This has been made possible due to the proliferation of devices connected to the Internet, social networks, e-commerce, industrial process automation, and other sources of digital data. Big Data is characterized by the Volume, Velocity, and Variety of data it processes. Therefore, Big Data offers great potential to improve decision-making, increase efficiency, and personalize the customer experience. In our Master´s Degree in Big Data, we will delve into the use, processing and analysis of large amounts of data to generate value in different sectors and companies.

Objetivos
- To review the fundamentals of Big Data, its main characteristics and ecosystem. - To introduce databases, data science and the most commonly used software in them. - To establish the meaning and application of Business Intelligence, such as data mining and Datawarehouse. - To learn to analyze data with Python and R. - To program the visualization of analyzed data with Matplotlib, Seaborn, and ggplot2 among others. - To delve into the concepts of Artificial Intelligence, Chat Bots, Neural Systems, and Machine and Deep Learning.
Salidas profesionales
The development of the industry and digitization has pushed every business into the Web, which favors the capture of large volumes of data. In this Master´s Degree in Big Data, you will understand the reason why effectively analyzing these data is a valuable element when applying for a position in any industry at many different levels.
Para qué te prepara
Our Master´s Degree in Big Data prepares you to understand and use the fields of Data Science and Business Intelligence, as well as to acquire advanced skills and knowledge in the management, analysis, and application of large datasets. You will develop the necessary skills in the main software to analyze, visualize, and extract information from your databases while advancing in AI-related matters.

A quién va dirigido
Our Master´s Degree in Big Data is aimed at students and professionals who wish to acquire advanced knowledge and skills in the analysis and management of large datasets. Some of the professional profiles that can benefit from a Master's Degree in Big Data include engineers, university graduates, marketing professionals, and any analyst from any branch or industry.

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.
Campus virtual Campus virtual
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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Centro del estudiante
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 big data

Master´s Degree in Continuing Education in Big Data (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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