In the context of Information Technology, it is essential for executives to know how to search for suitable data for decision-making, as well as to have an idea of the restrictions, challenges and risks associated with the selection and application of analytical techniques. They also need to acquire solid notions of how to deal with the Big Data phenomenon in a realistic and objective way.
The course presents and discusses situations in which structured and unstructured data is used to measure and understand critical market phenomena.
The course also aims to give the student an overview of the main analytical techniques and how to use them in decision-making, as well as understanding some of the multiple possibilities for applying Big Data.
Cutting-edge analytical techniques for exploring data and developing predictive models will be discussed: Social Network Analysis, Visual Information Systems, Text Mining and Sentimental Analysis, Natural Language Processing (NLP), Cognitive Computing, Cluster Analysis, Machine Learning, Geographic Intelligence and Spatial Statistics.