Professor of Business Statistics at the Department of Statistical Sciences, University of Bologna. Lecturer in various courses of the School of Economics, Statistics and Management, including Business Intelligence and Analytical Techniques for CRM and Marketing Research. He is Director of the Master in Investigation de Mercado y Data Mining at the Buenos Aires University of Bologna.
His recent research interests are linked to studies for the implementation of semi-industrial analytical systems using the latest innovations of Computer Science as end platforms. He worked on data mining methods for the reduction of subjective choices in defining the driving parameters of a customer profiling project, discriminating models estimated with kernel space (for customer profiling and credit scoring) and selection approach linked to the theory of information complexity.
This course explores the following topics; Univariate analysis: Distributions of quantitative and qualitative traits. Summary indicators: average values and variability indices. Data transformations. Graphical representations. Association between variables: Connection, covariance, correlation. The linear regression model. Elements of probability calculation: Probability (Binomial, Poisson, Normal). Signals of statistical inference: confidence intervals and hypothesis testing. Analysis of multidimensional data: Matrices of data, variance and covariance, correlation and dissimilarity. Laboratory exercises with dedicated software.Data Science and Business Analytics