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Santiago González, Carme Artigas Brugal, and Antonio Pita

La digitalización, la informática e Internet han producido lo que se puede denominar una revolución en la acumulación y utilización de datos. Podemos almacenar y conservar más datos que nunca antes en la historia. Podemos estudiarlos y analizarlos para tomar decisiones y mejorar procesos. Esta nueva capacidad tiene un enorme impacto en todos los ámbitos de la vida social.

A lo largo de este curso:

• Conoceremos qué es el Big Data y cuáles son sus características fundamentales

Read more

La digitalización, la informática e Internet han producido lo que se puede denominar una revolución en la acumulación y utilización de datos. Podemos almacenar y conservar más datos que nunca antes en la historia. Podemos estudiarlos y analizarlos para tomar decisiones y mejorar procesos. Esta nueva capacidad tiene un enorme impacto en todos los ámbitos de la vida social.

A lo largo de este curso:

• Conoceremos qué es el Big Data y cuáles son sus características fundamentales

• Exploraremos el crecimiento continuo de datos, analizaremos el impacto potencial en muchos campos de la actividad humana y nos preguntaremos por los retos y desafíos que suponen en todos los órdenes de la vida social.

• Conoceremos las características de cada una de las fases del procesamiento Big Data, adquiriendo un lenguaje adecuado para la descripción de los procesos. Dispondremos así de una visión de conjunto sobre sistema de tratamiento de grandes datos en la actualidad.

• Conoceremos las principales áreas de aplicación de los datos masivos. Qué tipos de transformaciones están imponiendo en la organización del trabajo y en la gestión. Qué desafíos imponen en la gobernanza, la economía y el trabajo. Qué mejoras introducen y qué riesgos representan.

• Estudiaremos las principales tecnologías e infraestructuras para el almacenamiento y procesado de grandes volúmenes de datos.

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What's inside

Syllabus

INTRODUCCIÓN
Módulo 1: Los datos masivos en la vida cotidiana el siglo XXI
La digitalización, la informática e Internet han producido lo que se puede denominar una revolución en la acumulación y utilización de datos. Actualmente podemos almacenar y conservar más datos que nunca antes en la historia, y podemos estudiarlos y analizarlos para tomar decisiones y mejorar procesos. Esta nueva capacidad tiene un enorme impacto en todos los ámbitos de la vida social.

En este módulo exploraremos el crecimiento continuo de datos, analizaremos su impacto potencial en muchos campos de la actividad humana, y nos preguntaremos por los retos y desafíos que suponen en todos los órdenes de la vida social.

Visualiza los vídeos, contesta el cuestionario tantas veces como quieras, y accede a los foros para discutir los temas que te parezcan más interesantes.
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En este módulo profundizaremos algo más en el impacto de los datos masivos en la sociedad actual y nos introduciremos en el procesamiento de datos masivos siguiendo una metodología completa, desde el problema de negocio hasta la puesta en valor de la solución analítica.Como siempre,

Como siempre, visualiza los vídeos, contesta el cuestionario tantas veces como quieras, y accede a los foros para discutir los temas que te parezcan más interesantes.


En este módulo veremos 5 casos de aplicación del Big Data a sectores tan imbricados en la vida cotidiana como el "retail", seguros, banca, telecomunicaciones y transportes., para posteriormente conocer las opiniones de tres expertos sobre el impacto de estos grandes volúmenes de datos en los medios de comunicación, en las ciencias sociales, y en la investigación científica.

Al ser un tema tan aplicado, en este módulo hemos incluído 5 temas de discusión en el foro para que compartas tus conocimientos con el resto de compañeros. En justa compensación, hemos preparado un cuestionario más corto. Visualiza los vídeos, completa el cuestionario, y colabora en los temas de discusión que hemos planteado.


En este módulo estudiaremos las principales tecnologías e infraestructuras Big Data, el sistema Hadoop y otros similares, estudiando sus características y prestaciones más relevantes. Estas herramientas se tratarán con más profundidad y se trabajarán en casos prácticos en los cursos siguientes de la Especializanción en Big Data.

Como es habitual, visualiza los vídeos, contesta el cuestionario tantas veces como quieras, y accede a los foros para discutir los temas que te parezcan más interesantes.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Adaptada para principiantes, este curso construye los cimientos para entender los datos masivos desde cero
Dirigida a profesionales de las telecomunicaciones, transporte, sector bancario y de seguros
Relevante para diversas áreas como ciencia, educación, administración y política
Profundiza sobre el impacto del Big Data en los medios de comunicación y la investigación científica
Requiere que el alumno disponga de un ordenador con conexión a Internet

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Reviews summary

Impacto social del big data

Según los estudiantes, este curso ofrece una introducción clara y concisa sobre el impacto social del Big Data. Muchos aprecian la exploración de cómo los datos masivos afectan la vida cotidiana y diversas industrias. Se destaca positivamente el enfoque en los retos y desafíos, proporcionando una visión general relevante para entender el fenómeno más allá de la tecnología. Algunos señalan que, si bien es una excelente base conceptual, el curso carece de profundidad técnica y no aborda las herramientas o infraestructuras en detalle, lo cual puede ser una limitación para quienes buscan habilidades prácticas. En general, es un curso muy valorado para principiantes o para obtener contexto.
Bien organizado y fácil de seguir.
"La estructura del curso es muy lógica..."
"Los vídeos son claros y fáciles de entender..."
"Los cuestionarios ayudan a afianzar los conocimientos..."
"El material es accesible incluso para quienes no tienen experiencia previa."
Resalta el impacto en la sociedad.
"Me gustó cómo se centró en el impacto en la vida cotidiana y las industrias..."
"Muy relevante para entender los desafíos éticos y sociales..."
"Los casos prácticos sobre su aplicación en sectores fueron muy interesantes."
"Aporta una perspectiva necesaria más allá de la tecnología."
Visión general clara y accesible.
"Ofrece una muy buena perspectiva general del tema..."
"Es una excelente introducción para comprender el impacto social..."
"Ideal si buscas entender el panorama general, no los detalles técnicos."
"Me ayudó a ver cómo el Big Data afecta diferentes áreas de la sociedad."
No cubre herramientas ni tecnología.
"Esperaba ver más sobre las tecnologías o herramientas de Big Data..."
"Si buscas aprender a trabajar con datos, este curso no es suficiente."
"Solo menciona brevemente Hadoop y otras herramientas, sin profundizar..."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Big Data: el impacto de los datos masivos en la sociedad actual with these activities:
Organize and expand course notes, assignments, and materials
Improves retention by reinforcing key concepts and enabling quick revision of important information.
Show steps
  • Review and summarize lecture notes.
  • Organize assignments and quizzes by topic.
  • Create a digital or physical study guide.
Participate in a peer study group
Enhances understanding, encourages collaboration, and provides diverse perspectives on course material.
Show steps
  • Form a study group with classmates.
  • Meet regularly to discuss course topics.
  • Work together on assignments or projects.
Follow a guided tutorial on Big Data analysis
Provides a structured and methodical approach to learning Big Data concepts and techniques, ensuring a solid foundation.
Browse courses on Data Analysis
Show steps
  • Identify a reputable online tutorial or course.
  • Follow the tutorial step-by-step.
  • Complete any exercises or assignments.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Read 'Data Analytics Made Accessible'
Provides a comprehensive introduction to data analytics, complementing the course's focus on Big Data and strengthening foundational knowledge.
Show steps
  • Read chapters relevant to data analytics concepts.
  • Summarize key concepts and methodologies.
  • Identify real-world examples of data analytics applications.
Review 'Big Data: A Revolution That Will Transform How We Live, Work, and Think'
Builds a contextual and conceptual foundation for understanding Big Data as a concept, its history, applications, and impact.
Show steps
  • Read the book's introduction and conclusion.
  • Summarize the key concepts of each chapter.
  • Identify real-world examples of Big Data applications.
  • Consider the ethical and societal implications of Big Data.
Experiment with Big Data techniques using Python
Provides hands-on experience working with Big Data tools and techniques, solidifying theoretical knowledge and improving practical skills.
Browse courses on Python
Show steps
  • Set up a Python environment for Big Data analysis.
  • Learn and apply data cleaning and preparation techniques.
  • Explore data visualization techniques to analyze and present insights.
  • Implement machine learning algorithms for Big Data analysis.
Contribute to open-source Big Data projects on GitHub
Encourages students to engage with the broader Big Data community, learn from experts, and contribute to real-world projects.
Browse courses on Open Source
Show steps
  • Identify open-source Big Data projects on GitHub.
  • Submit bug reports or feature requests.
  • Contribute code or documentation.
Develop a Big Data solution for a real-world business problem
Challenges students to apply their learning to a practical problem, fostering critical thinking, problem-solving, and analytical skills.
Browse courses on Big Data Applications
Show steps
  • Identify a business problem that can be solved using Big Data.
  • Collect and prepare relevant data.
  • Analyze the data and develop insights.
  • Design and implement a Big Data solution.

Career center

Learners who complete Big Data: el impacto de los datos masivos en la sociedad actual will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist builds and uses models to find useful insights in data. They have a strong understanding of statistics and computer science, and they are able to communicate their findings effectively. This course can help you develop the skills you need to become a successful Data Scientist. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Data Analyst
A Data Analyst collects, cleans, and analyzes data to help organizations make better decisions. They have a strong understanding of data analysis techniques, and they are able to communicate their findings effectively. This course can help you develop the skills you need to become a successful Data Analyst. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Business Analyst
A Business Analyst helps organizations to improve their performance by analyzing data and identifying areas for improvement. They have a strong understanding of business processes, and they are able to communicate their findings effectively. This course can help you develop the skills you need to become a successful Business Analyst. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Market Researcher
A Market Researcher collects and analyzes data to help organizations understand their customers and make better marketing decisions. They have a strong understanding of research methods, and they are able to communicate their findings effectively. This course can help you develop the skills you need to become a successful Market Researcher. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Financial Analyst
A Financial Analyst helps organizations to make investment decisions. They have a strong understanding of financial markets, and they are able to communicate their findings effectively. This course can help you develop the skills you need to become a successful Financial Analyst. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Product Manager
A Product Manager is responsible for the development and marketing of a product. They have a strong understanding of customer needs, and they are able to communicate their vision effectively. This course can help you develop the skills you need to become a successful Product Manager. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Consultant
A Consultant helps organizations to improve their performance. They have a strong understanding of business processes, and they are able to develop and implement solutions that meet the needs of their clients. This course can help you develop the skills you need to become a successful Consultant. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. They have a strong understanding of computer science, and they are able to work effectively with others. This course can help you develop the skills you need to become a successful Software Engineer. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Data Engineer
A Data Engineer builds and maintains the infrastructure that is used to store and process data. They have a strong understanding of data management and computer science, and they are able to work effectively with others. This course can help you develop the skills you need to become a successful Data Engineer. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Database Administrator
A Database Administrator manages the databases that are used to store and process data. They have a strong understanding of database management and computer science, and they are able to work effectively with others. This course can help you develop the skills you need to become a successful Database Administrator. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Information Security Analyst
An Information Security Analyst protects the data and systems of an organization from cyberattacks. They have a strong understanding of information security and computer science, and they are able to work effectively with others. This course can help you develop the skills you need to become a successful Information Security Analyst. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Privacy Analyst
A Privacy Analyst helps organizations to comply with privacy laws and regulations. They have a strong understanding of privacy law and computer science, and they are able to work effectively with others. This course can help you develop the skills you need to become a successful Privacy Analyst. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Data Protection Officer
A Data Protection Officer is responsible for the protection of an organization's data. They have a strong understanding of data protection law and computer science, and they are able to work effectively with others. This course can help you develop the skills you need to become a successful Data Protection Officer. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Compliance Officer
A Compliance Officer helps organizations to comply with laws and regulations. They have a strong understanding of law and computer science, and they are able to work effectively with others. This course can help you develop the skills you need to become a successful Compliance Officer. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.
Risk Manager
A Risk Manager identifies and manages risks that could affect an organization. They have a strong understanding of risk management and computer science, and they are able to work effectively with others. This course can help you develop the skills you need to become a successful Risk Manager. You will learn about the different phases of the data processing cycle, the technologies and infrastructures used for Big Data, and the ethical implications of using Big Data.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Big Data: el impacto de los datos masivos en la sociedad actual.
Este libro de texto integral cubre los conceptos y técnicas de minería de datos, que es un componente clave del procesamiento de Big Data. Proporciona una base sólida para una mayor exploración.
Se centra en los principios y las mejores prácticas de los sistemas de datos en tiempo real a gran escala. Es una lectura valiosa para comprender los desafíos técnicos del procesamiento de Big Data.
Proporciona una introducción accesible al análisis de datos, que es esencial para comprender y trabajar con Big Data. Es una buena lectura de referencia para principiantes.
Explora las técnicas de aprendizaje automático utilizadas para procesar y analizar conjuntos de datos masivos. Es una lectura complementaria útil para aquellos interesados en aplicaciones avanzadas de Big Data.
Proporciona información básica sobre la ciencia de datos y su importancia en el mundo empresarial. Aunque no se enfoca específicamente en Big Data, proporciona contexto y conceptos relevantes.

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