Introduction to business analytics.
Descriptive analytics: Statistical models of business intelligence. Data visualization and warehousing.
Predictive analytics: Data mining. Machine learning predictive models. Web and social network analysis.
Prescriptive Analytics: Simulation and optimization for decision making.
Big data: Concepts and tools.
Application examples: From the business case to the case study.
Learning activities and methodology
Teaching presentations accompanied by electronic material, such as digital presentations
e-learning activities
Theoretical-practical lessons, synchronous teaching tutorials
Team work
Individual student work
Home works and
Assessment System
% end-of-term-examination 0
% of continuous assessment (assigments, laboratory, practicals...) 100
