Objectius generals:
To understand the process of data valorization and its role in decision making.
To learn to clean and massage data with the goal of creating valuable, manageable, and informative datasets.
To learn to hypothesize and develop intuition about a dataset using exploratory analysis techniques.
To apply analytic and predictive machine learning efficiently and effectively.
To understand, create, and modify analytic and exploratory algorithms operating over data.
To verify and quantify the validity of a hypothesis using data analytics.
To learn to gather and extract information from structured and non-structured data sources.
To learn to use storage and processing technologies for handling large datasets.
To understand, create, and modify analytic and exploratory algorithms operating over data.
To verify and quantify the validity of a hypothesis using data analytics.
To communicate results using appropriate communication skills and visualization tools and techniques.
To know the privacy and data protection legislation, and the data scientist professional code and ethics.
CARACTERÍSTIQUES DEL CURS
Modalitat: Presencial
Tipus: Màster
Durada: 60 ECTS
Sector: Transversal
Localització: Barcelona
Course Features
- Lectures 0
- Quizzes 0
- Duration Lifetime access
- Skill level All levels
- Students 0
- Assessments Yes