En este último curso de la Especialización Big Data el estudiante tendrá la oportunidad de aplicar algunas de las herramientas y métodos aprendidos en los cursos anteriores en un caso práctico.
Big Data: capstone project
Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.
Big Data: capstone project
This course is part of Big Data – Introducción al uso práctico de datos masivos Specialization
Instructors: Francesc Torradeflot
5,035 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.7
(56 reviews)
Advanced level
Designed for those already in the industry
12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
8 assignments
Taught in Spanish
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Big Data – Introducción al uso práctico de datos masivos Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 7 modules in this course
What's included
9 readings
<b>ATENCIÓN: Si ya te instalaste la máquina virtual en el curso anterior de la Especialización no es necesario que vuelvas a hacerlo.</b> En caso contrario, en este apartado te explicamos cómo descargar e instalar dicha máquina virtual en tu ordenador. <br><br>La MV-Cloudera requiere disponer de un equipo con las siguientes características: (1) máquina de 64 bits, (2) mínimo 6G de memoria (recomendable 8G), y (3) 20G disponibles en disco.<br><br> <i><b>Ten en cuenta que bajar e instalar la máquina virtual te llevará tiempo dado el tamaño y complejidad de la misma</i></b>
What's included
4 videos4 readings
En esta semana vamos a conocer el proyecto y a hacer una primera exploración de algunos de los datos con los que iremos trabajando. Nos familiarizamos con el contenido de estos ficheros y haremos el trabajo preliminar para poderlo luego aplicar a grandes volumenes de datos.
What's included
1 video2 readings1 assignment
En esta semana aprenderemos a cargar los datos en Hive, construir su modelo de datos y entender la tarea de clasificar una galaxia según su forma.
What's included
1 video3 readings1 assignment
Esta semana vamos a normalizar un modelo de datos, estudiaremos con profundidad los votos que nos han proporcionado los usuarios y generaremos la información necesaria para construir un clasificador automàtico.
What's included
1 video2 readings1 assignment
Esta semana introduciremos el dataset de imágenes galácticas y prepararemos dos algoritmos de Inteligencia Artificial para la clasificación automática de galaxias a partir de una imagen.
What's included
1 video6 readings5 assignments
Es el momento de preparar el informe final con el trabajo realizado hasta ahora. Necesitaréis tener a mano los trabajos realizados las semanas anteriores.
What's included
1 peer review
Instructors
Instructor ratings
4.7 (13 ratings)Offered by
Recommended if you're interested in Data Analysis
Pontificia Universidad Católica del Perú
Coursera Project Network
Universidad de los Andes
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
Showing 3 of 56
4.7
56 reviews
- 5 stars
82.14%
- 4 stars
12.50%
- 3 stars
3.57%
- 2 stars
0%
- 1 star
1.78%
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.