Enroll now in specialized training in business analysis and Big Data with the Master Degree in Big Data and obtain a university degree issued by the Catholic University of Murcia in collaboration with Struturalia.

Titulación
Modalidad
Modalidad
Online
Duración - Créditos
Duración - Créditos
1500 horas - 60 ECTS
Plataforma Web
Plataforma Web
24 Horas
Centro Líder
Centro Líder
formación online
Equipo Docente
Equipo Docente
Especializado
Acompañamiento
Acompañamiento
Personalizado

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Nuestros alumnos opinan sobre: Master’s Degree in Big Data and Business Analytics + 60 ECTS Credits

4,6
Valoración del curso
100%
Lo recomiendan
4,9
Valoración del claustro

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CASTELLÓN/CASTELLÓ

Opinión sobre Master’s Degree in Big Data and Business Analytics + 60 ECTS Credits

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Plan de estudios de Masters degree in big data

MASTER DEGREE IN BIG DATA. Enjoy the best content with Euroinnova International Online Education and specialize in business analysis through Big Data. Acquire this knowledge from home thanks to the 100% online methodology.

Resumen salidas profesionales
de Masters degree in big data
As a Big Data and Analytics Expert, the student will be able to provide qualified consulting to companies toward an improved decision-making resulting from gathering, analyzing, and interpreting large volumes of data.
Objetivos
de Masters degree in big data
The main purpose of this program is to help the student differentiate concepts such as Big Data, Business Intelligence, and the entire field of Analytics in a world where everything is called “Big Data”. Acquire a global vision of Big Data & Analytics. Identify strategies and business opportunities Understand the type and implications of the required technology Learn the profile of the right professionals Gain the ability to communicate with Big Data & Analytics Gain an overall understanding of the tools on the market Understand and develop technical and scientific complexity Manage technical aspects of BI/Big Data projects and work teams Manage legal issues related to the use of data
Salidas profesionales
de Masters degree in big data
Big Data Architect Big Data Engineer Data Scientist Big Data Developer Machine Learning Engineer Chief Data Officer (CDO) Big Data Consultant Data Analyst
Para qué te prepara
el Masters degree in big data
As a Big Data and Analytics Expert, the student will be able to provide qualified consulting to companies toward an improved decision-making resulting from gathering, analyzing, and interpreting large volumes of data.
A quién va dirigido
el Masters degree in big data
Professionals in charge of managing large volumes of data in their companies. College graduates who view the use of data as an opportunity for their professional development.
Metodología
de Masters degree in big data
Metodología Curso Euroinnova
Carácter oficial
de la formación
La presente formación no está incluida dentro del ámbito de la formación oficial reglada (Educación Infantil, Educación Primaria, Educación Secundaria, Formación Profesional Oficial FP, Bachillerato, Grado Universitario, Master Oficial Universitario y Doctorado). Se trata por tanto de una formación complementaria y/o de especialización, dirigida a la adquisición de determinadas competencias, habilidades o aptitudes de índole profesional, pudiendo ser baremable como mérito en bolsas de trabajo y/o concursos oposición, siempre dentro del apartado de Formación Complementaria y/o Formación Continua siendo siempre imprescindible la revisión de los requisitos específicos de baremación de las bolsa de trabajo público en concreto a la que deseemos presentarnos.

Temario de Masters degree in big data

Descargar GRATIS
el temario en PDF

MODULE 1. INTRODUCTION TO BIG DATA

MODULE 2. POWER BI (ENGLISH)

UNIT 1. GETTING STARTED

  1. Introduction to Power BI
  2. Different types of Power BI
  3. First simple report
  4. Power Query. Data Sources
  5. Data Transformation

UNIT 2. DATA MODELING AND DAX

  1. Data Modeling
  2. Starting with DAX (I)
  3. Starting with DAX (II)
  4. Getting proficient in DAX (I)
  5. Getting proficient in DAX (II)

UNIT 3. DATA VISUALIZATION

  1. Table and Matrix
  2. Trends
  3. How to properly filter your data
  4. Bookmarks
  5. Drill through

UNIT 4. TAKING IT TO THE NEXT LEVEL

  1. Understanding Power BI Service in depth
  2. Sharing content in Power BI Service
  3. Comparing Power BI Service and Power BI Report Server
  4. Integrating Python and R in Power BI Desktop
  5. Introducing Bravo for Power BI Desktop

MODULE 3. RELATIONAL DATABASES. SQL. DATA WAREHOUSE

MODULE 4. PYTHON AND R

MODULE 5. NOSQL DATABASES

MODULE 6. PREPARATION OF SELF-SERVICE DATA

MODULE 7. DATA MINING, MACHINE LEARNING AND DEEP LEARNING (INGLÉS)

UNIT 1. SUPERVISED LEARNING (I)

  1. Introduction
  2. Simple, multiple and logistic linear regression (I)
  3. Simple, multiple and logistic linear regression (II)
  4. Support vector machines (SVM)
  5. Decision trees

UNIT 2. SUPERVISED LEARNING (II)

  1. KNN (k-nearest neighbors)
  2. Naive Bayes
  3. Evaluation of supervised models
  4. Example exercise
  5. Proposed exercise

UNIT 3. UNSUPERVISED LEARNING

  1. Introduction to clustering. purconsider and metrics
  2. K-means clustering
  3. Hierarchical clustering, other techniques and examples
  4. Principal component analysis (PCA)
  5. PCA example exercise

UNIT 4. DEEP LEARNING

  1. Artificial Neural Networks (ANN) (I)
  2. Artificial Neural Networks (ANN) (II)
  3. Artificial Neural Networks (ANN) (III)
  4. Example exercise
  5. Proposed exercise

MODULE 8. ADVANCED DEEP LEARNING

UNIT 1. SUPERVISED DEEP LEARNING (I)

  1. Introduction
  2. Review. Artificial neural network (ANN)
  3. Review. ANN exercises
  4. Convolutional Neural Networks (CNN)
  5. CNN Exercises

UNIT 2. SUPERVISED DEEP LEARNING (II)

  1. Natural language processing (I)
  2. Recurrent neural networks (RNN) (I)
  3. Recurrent neural networks (RNN) (II)
  4. Natural language processing (II)
  5. RNN Exercise

UNIT 3. UNSUPERVISED DEEP LEARNING (I)

  1. Boltzmann Machines (BM)
  2. Restricted Boltzmann Machines (RBM)
  3. Recommender systems
  4. Recommender systems. metrics
  5. RBM exercise

UNIT 4. UNSUPERVISED DEEP LEARNING (II)

  1. Self-organizing maps (SOM)
  2. SOM exercises
  3. Autoencoders (AE)
  4. AE exercises
  5. Proposed exercise

MODULE 9. ARTIFICIAL INTELLIGENCE

MODULE 10. TFM. MASTER’S DEGREE IN BIG DATA AND BUSINESS ANALYTICS

Titulación de Masters degree in big data

masters degree in big data structuraliamasters degree in big data structuralia
Master Of Professional Development in Big Data and Business Analytics with 60 ECTS Credits awarded by the Catholic University of Murcia in collaboration with Structuralia Si lo desea puede solicitar la Titulación con la APOSTILLA DE LA HAYA (Certificación Oficial que da validez a la Titulación ante el Ministerio de Educación de más de 200 países de todo el mundo. También está disponible con Sello Notarial válido para los ministerios de educación de países no adheridos al Convenio de la Haya.

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Euroinnova Business School
Isaías Aranda Cano Aranda Cano
Tutor
Grado Superior en Administración de Sistemas Informáticos.
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Rafael Marín Sastre
Tutor
Titulado Universitario 1 ciclo o Diplomado en Ingeniería Técnica en Informática de Sistemas Administrador de Servidores y páginas web Curso Superior en Ciberseguridad Curso de Business Intelligence y Big Data Formación de formadores E-learning
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Euroinnova Business School
Daniel Cabrera Armenteros
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Licenciado en Ciencias Físicas y con Máster en Implantación, Gestión y Auditoría de Sistemas de Seguridad de Información ISO 27001-27002.
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Alan Sastre
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Grado en Ingeniería Informática
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Jorge López Blasco
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Graduado en matemáticas por la Universidad de Valencia y con el Master de Profesorado. Experto en Cloud Computing, Machine Learning y Big Data.
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7 razones para realizar el Masters degree in big data

1
Nuestra experiencia

Más de 20 años de experiencia en la formación online.

Más de 300.000 alumnos ya se han formado en nuestras aulas virtuales.

Alumnos de los 5 continentes.

25% de alumnado internacional.

Las cifras nos avalan
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Seguidores
2
Nuestra Metodología

Flexibilidad

Aprendizaje 100% online, flexible, desde donde quieras y como quieras

Docentes

Equipo docente especializado. Docentes en activo, digitalmente nativos

Acompañamiento

No estarás solo/a. Acompañamiento por parte del equipo de tutorización durante toda tu experiencia como estudiante.

Aprendizaje real

Aprendizaje para la vida real, contenidos prácticos, adaptados al mercado laboral y entornos de aprendizaje ágiles en campus virtual con tecnología punta

Seminarios

Seminarios en directo. Clases magistrales exclusivas para los estudiantes

3
Calidad AENOR

Se llevan a cabo auditorías externas anuales que garantizan la máxima calidad AENOR.

Nuestros procesos de enseñanza están certificados por AENOR por la ISO 9001 y 14001.

Certificación de calidad
4
Confianza

Contamos con el sello de Confianza Online y colaboramos con las Universidades más prestigiosas, Administraciones Públicas y Empresas Software a nivel Nacional e Internacional.

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5
Empleo y prácticas

Disponemos de Bolsa de Empleo propia con diferentes ofertas de trabajo, y facilitamos la realización de prácticas de empresa a nuestro alumnado.

6
Nuestro Equipo

En la actualidad, Euroinnova cuenta con un equipo humano formado por más de 300 profesionales. Nuestro personal se encuentra sólidamente enmarcado en una estructura que facilita la mayor calidad en la atención al alumnado.

7
Somos distribuidores de formación

Como parte de su infraestructura y como muestra de su constante expansión, Euroinnova incluye dentro de su organización una editorial y una imprenta digital industrial.

Información complementaria

Master Degree in Big Data

At this very moment, you have the opportunity to receive unique training in the field of business intelligence, data analytics, and Big Data utilization. Learning about this subject is highly intriguing, and as a result, students will be capable of making decisions supported by objective information from company data.

Euroinnova International Online Education offers you the following Master Degree in Big Data so you can learn about the activities carried out in data analysis, how to perform them, how to design and develop decision-support reports at both strategic and operational levels. All of this and more is always delivered using 100% online methodology.

MASTER DEGREE IN BIG DATA

Specialize in Big Data with this master

When we refer to Big Data, we're talking about datasets and combinations that have a certain complexity, a growth increase, and very high volume. All these characteristics cannot be analyzed through conventional technologies and tools. Therefore, Euroinnova International Online Education shows you how to use this tool.

In most cases where Big Data is utilized, structured data received from different points are combined. Big Data offers great utility to companies as it allows for solving questions that may arise, as well as providing a reference point. Companies with this tool can detect all sorts of problems, as well as identify trends and market opportunities to capitalize on. The gathering of data and the search for opportunities result in an exponential increase in businesses, enabling companies to grow faster, encounter fewer problems, and operate more efficiently.

What advantages does Big Data offer to companies?

There are many advantages and value that this tool offers in business activity. As an introduction, let's highlight some of the most important ones:

  • Costs: Costs are significantly reduced, and currently, with cloud storage, fewer technologies and physical infrastructures are needed for data storage, further reducing costs. Thanks to Big Data, it's also possible to identify the most efficient procedures for conducting business.
  • Agility: Agility is increased, decisions can be made more quickly and effectively. This is due to the ability to analyze large volumes of data, leading to conclusions upon which decisions can be based.
  • Products: By knowing more and better about customers through a vast amount of data and reaching effective conclusions through data analysis, we can determine how to approach them, what products or services to design to meet their needs, and achieve a significant improvement in the company's performance.

How does Big Data work?

Big Data has some very important functionalities, which are detailed throughout this online master. Among them, some of the most prominent generalized functionalities include:

  • Integration: Through the use of these technologies, all data collected by the organization from various sources and applications can be integrated. It's important to understand the mechanisms used for data integration, as well as its transformation and incorporation.
  • Management: Big data storage must be managed so that these data can be used appropriately. Cloud services are increasingly developing and allow for tailored resource utilization, often enabling companies to manage data much more efficiently.
  • Analysis: Conducting analysis with the data we have is its main functionality. Thanks to the conclusions reached and the reports generated, often automated, decisions can be made based on objective and personalized information for the company.

Why should you study the Master Degree in Big Data with Euroinnova?

If you want to gain a unique specialization in the most important subject of today's business digitalization, as well as make effective operational and strategic decisions in your business, the best option is to train with the Master Degree in Big Data.

Studying with Euroinnova International Online Education will allow you to specialize in a very important field nowadays. This is your opportunity to study from home or from anywhere with 100% online methodology. This will enable you to balance your education with other daily activities such as work, studies, or even leisure time.

Upon completion of the training, you will receive a degree issued by the Catholic University of Murcia with 60 ECTS credits, in collaboration with Structuralia. This will validate your knowledge in this professional sector.

Do not hesitate to enroll.

We await you at Euroinnova!

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