GFT
Ciencia de Datos y Big Data. Cómo analizar datos a gran escala.
Responsable del curs
Antoni Munar
Programa
Sesión 1: Tecnología del Big Data
1.1. Introduction to BigData
1.2.Hadoop framework and ecosystem
1.3.Spark framework fundamentals:
Core concepts: In-memory distributed computation.
Spark data structures and processing workflow: RDDs, actions and transformations.
Stream processing.
1.4.Hands-on exercise: counting words in large documents.
Sesión 2: Ciencia de Datos aplicada al Big Data
2.1.Big Data Analytics: methodology and use cases
2.2.Classification algorithms.
2.3.Hands-on exercise: Predicting Titanic survival with Decision Trees.
2.4.Clustering algorithms.
2.5.Hands-on exercise: urban population clustering
Sesión 3: Analizando datos en internet y redes sociales.
3.1.Social Mining fundamentals.
3.2.Sentiment analysis.
3.3.Hands-on exercise: twitter analysis.
Horari
- 2 febrer de 8:00 a 11:00
- 3 febrer de 8:00 a 11:00
- 4 febrer de 8:00 a 11:00
fib.upc.edu