The purpose of the course is to provide the students with the knowledge of the fundamentals of statistics and statistical learning for data analysis, starting from the vocabulary of statistics to model implementation and interpretation. The course is intended to have both theoretical mathematical justification of statistical analysis and practical application to real world problems. The introduction of theoretical concepts is always combined with the application of statistical methods to analyze real-world data and solve practical problems in a variety of domains including management, marketing, economics and finance. Therefore, at the end of the course the students will be able to: - being able to transform a real world problems into a statistical language problem - understand the main domains of applications of statistics, with particular reference to the areas of management, economics, marketing and finance - understand the main concepts of theoretical and applied statistics - - model real-world data, including corporate and market data - reasonably interpret model outputs and derive implications for the specific domain of knowledge - formulate and build predictive models, forecast key variables and assess forecast uncertainty
Course Prerequisites
none
Assessment Methods
The grade is entirely awarded by a written final exam. The assignment includes both multiple choice questions and open-ended questions, with no specific proportion between them.
