Course Summary
This course teaches you how to work with Big Data from a project perspective, focusing on the practical aspects of Big Data analysis and processing. Students will learn how to use tools like Hadoop, Spark, and Hive to analyze large datasets and build predictive models.Key Learning Points
- Learn how to work with Big Data using tools like Hadoop, Spark, and Hive
- Understand the practical aspects of Big Data analysis and processing
- Build predictive models using large datasets
Related Topics for further study
Learning Outcomes
- Learn how to work with Big Data from a project perspective
- Understand the practical aspects of Big Data analysis and processing
- Build predictive models using large datasets
Prerequisites or good to have knowledge before taking this course
- Basic programming knowledge in Python or Java
- Familiarity with SQL
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Big Data Analytics
- Big Data Essentials: HDFS, MapReduce and Spark RDD
Related Education Paths
Notable People in This Field
- Creator of Hadoop
- Creator of Apache Spark
Related Books
Description
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.
Outline
- INTRODUCCIÓN
- BIENVENIDA
- Contenidos del curso (Temario)
- Organización del curso y evaluación
- Resolver dudas e incidencias
- Sobre el certificado
- FAQs - Generales
- FAQs - Cuestionarios y ejercicios
- FAQs - Certificado
- Links relacionados
- LA MÁQUINA VIRTUAL
- Introducción
- Instalación de la máquina virtual - Import start
- Instalación de la máquina virtual - Tips
- Instalación de la máquina virtual - Pyspark setup
- Link para la descarga de la MV_Cloudera
- Instalación de la MV - Import start
- Instalación de la MV - Tips
- Instalación de la MV - Pyspark set up
- MÓDULO 1 - Exploración de datos
- Introducción
- Introducción CAPSTONE PROJECT
- Trabajo a realizar
- Exploración de los datos
- MÓDULO 2 - MODELO DE DATOS
- Introducción
- Trabajo a realizar
- Trabajo a realizar
- Trabajo a realizar
- Modelo de datos
- MÓDULO 3 - CLASIFICACIÓN
- Introducción
- Trabajo a realizar
- Trabajo a realizar
- Clasificación
- MÓDULO 4 - MACHINE LEARNING
- Introducción
- Introducción
- Dataset de imágenes galácticas
- Trabajo a realizar
- Trabajo a realizar
- Trabajo a realizar
- Trabajo a realizar
- Preprocesado y carga de datos (para practicar)
- PCA (para practicar)
- Regresión logística (para practicar)
- Redes neuronales (para practicar)
- Machine Learning
- MÓDULO 5 - TRABAJO FINAL
Summary of User Reviews
This course on big data project has received positive reviews for its comprehensive content and interactive approach. Many users found the course to be highly informative and engaging.Key Aspect Users Liked About This Course
Comprehensive contentPros from User Reviews
- In-depth coverage of big data concepts and tools
- Hands-on experience with real-world projects
- Interactive learning approach with quizzes and assignments
- Experienced instructors with industry expertise
Cons from User Reviews
- Some users found the pace of the course to be too fast
- Limited support for non-technical learners
- Difficulty in accessing some course materials
- Lack of personalized feedback from instructors
Francesc Torradeflot
4.7 Raiting
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