Universitat Internacional de Catalunya
MÓDULO 1: Introducción a la Data Science
Other languages of instruction: Catalan, English
Teaching staff
Introduction
The Data Science is an area that refers to the massive and automated treatment of (digital) data to infer future behavior (estimation through inferences), from algorithmic techniques that are based on statistical precepts.
The different applications that can be undertaken with this approach and its techniques provide a cross-sectional basis for many domains and sectors, which have taken digitization as their registered evidence base.
Therefore, in this program we do an intensive review that begins with an introduction, through masterclass, of how they have been applied, and applied, in different companies, by the hand of their protagonists, who provide us with their experiences and experiences in how they approached the matter and what lessons have been obtained, sharing them in an atmosphere of honesty
Pre-course requirements
There are no specific requirements
Objectives
Provide a broad vision of applications carried out with the techniques used in Advanced Analytics.
Have a vision of the legal and technical implications that the implementation of a project will entail.
Learning outcomes of the subject
Have a sufficient perspective of the implications of the implementation of an Advanced Analytics project and what are expected results
Syllabus
Introduction to the data science ecosystem
Regulatory and legal environment
Masterclass of various sectors and application approaches (Banking, IoT, Smartcities, ...)
Elaboration of a research work on the implications of BigData in society and in companies
Teaching and learning activities
In person
Case method, based on the personal experiences of the speakers
Evaluation systems and criteria
In person
Performance evaluation in the research work carried out
Participation in the reflections of the masterclass