About this Specialization

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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 3 months to complete

Suggested 12 hours/week

Spanish

Subtitles: Spanish

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 3 months to complete

Suggested 12 hours/week

Spanish

Subtitles: Spanish

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 5 Courses in this Specialization

Course1

Course 1

Big Data: el impacto de los datos masivos en la sociedad actual

4.6
stars
329 ratings
122 reviews
Course2

Course 2

Big Data: adquisición y almacenamiento de datos

4.4
stars
115 ratings
52 reviews
Course3

Course 3

Big Data: procesamiento y análisis

4.2
stars
46 ratings
15 reviews
Course4

Course 4

Big Data: visualización de datos

4.6
stars
29 ratings
7 reviews

Instructors

Image of instructor, Jorge Carretero

Jorge Carretero 

Profesor
Cosmology Projects Scientist and Data Support
Image of instructor, Llorenç Badiella

Llorenç Badiella 

Director Servei d'Estadística Aplicada UAB
Universitat Autònoma de Barcelona
Image of instructor, Isabel Serra

Isabel Serra 

Doctora
Centre de Recerca Matemàtica
Image of instructor, Tomás Margalef

Tomás Margalef 

Catedrático
Dept. de Arquitectura de Computadores y Sistemas Operativos
Image of instructor, Santiago González

Santiago González 

Director de Tecnologías y de Innovación
Synergic Partners
Image of instructor, Josep Curto Díaz

Josep Curto Díaz 

Profesor
UOC
Image of instructor, Nadia Tonello

Nadia Tonello 

Profesora
Cosmology Projects Scientist and Data Support
Image of instructor, Andrés Cencerrado

Andrés Cencerrado 

Profesor
Área de Arquitectura y de Tecnología de Computadores
Image of instructor, Antonio Espinosa

Antonio Espinosa 

Profesor Agregado Interino
Departamento de Arquitectura de Computadores y Sistemas Operativos
Image of instructor, Ignasi Alcalde

Ignasi Alcalde 

Profesor
UOC
Image of instructor, Carme Artigas Brugal

Carme Artigas Brugal 

Co-Founder & CEO
Synergic Partners
Image of instructor, Francesc Torradeflot

Francesc Torradeflot 

Profesor
Astrophysics and Cosmology Software Engineer
Image of instructor, Antonio Pita

Antonio Pita 

Director de Operaciones y Soluciones
Synergic Partners
Image of instructor, Pau Tallada

Pau Tallada 

Profesor
Astrophysics and Cosmology Software Engineer
Image of instructor, Teresa Sancho Vinuesa

Teresa Sancho Vinuesa 

Profesora
UOC

About Universitat Autònoma de Barcelona

The Universitat Autònoma de Barcelona (UAB) is a public university located in the metropolitan area of Barcelona. International in its outlook, it is fully consolidated within its local surroundings, and offers quality education in close association with research activity, the transfer of scientific, technological, cultural and educational knowledge, the promotion of its human potential and the responsible management of available resources. The UAB currently offers 81 degrees, 130 official Master Programmes and 183 UAB-specific Masters Degrees. In addition, it offers 174 lifelong learning programmes and 65 PhD Programmes, 27 of which have been distinguished through Quality Awards. The UAB has a total of over 3,500 teaching and research staff, over 2,000 administrative staff and over 40,000 students....

Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • El tiempo dependerá de tu propio ritmo, pero la mayoría de alumnos pueden completarla en 5 meses.

  • En el diseño del Programa Especializado hemos intentado minimizar los conocimientos previos necesarios, aun cundo se recomienda disponer de conocimientos básicos de informática.

    Sí que creemos fundamental la motivación por la temática. Los distintos cursos van dirigidos a personas, con o sin formación universitaria pero muy interesados y motivados en conocer lo que hay detrás del análisis de datos, y en particular de los datos masivos.

  • Aun cuando no es imprescindible que sigas un orden específico, para un mayor aprovechamiento del Programa especializado te recomendamos que sigas el orden propuesto. Por otra parte, puedes tomar cursos individuales si estás interesado en una temática específica.

  • Completar el curso no da derecho a créditos de la Universidad, aun cuando puede haber Universidades que acepten los certificados del Programa Especializado como créditos convalidables. Debes validarlo en cualquier caso con tu institución.

  • Tal y como figura en la descripción del curso, si finalizas el programa serás capaz de :

    1. Entender el impacto del tratamiento de datos masivos en la sociedad actual

    2. Entender y explicar la procedencia y características de los datos masivos.

    3. Adquirir, preparar, almacenar, analizar, visualizar y manejar grandes conjuntos de datos

    4. Extraer información de los datos

    5. Trabajar dentro del ecosistema Hadoop

    6. Poder contestar preguntas en base al análisis de datos

  • No, aunque se recomienda tener algunos conocimientos básicos para un mejor aprovechamiento de los cursos y del Programa Especializado.

More questions? Visit the Learner Help Center.