The course is structured in theoretical and practical lectures with some pseudo-coding. Both theoretical and practical lectures are based on the instructor’s material. Students may also wish to refer to the following books for: a) a basic statistics review - Newbold, P. (2013). Statistics for business and economics. Pearson;
Contents
Lectures contents: Introduction to Statistics, its basic vocabulary and gergo. Elements of qualitative and quantitative descriptive statistics (univariate). Elements of qualitative and quantitative descriptive statistics (bivariate and multivariate). Elements of inferential statistics for one and two sample. Simple and Multiple linear regression model. Logistic regression model. Introduction to supervised and unsupervised learning / Networks - decision trees and random forests, K-means and hierarchical clustering,introduction to network science Final recap of the illustrated statistical methods and their joint discussion.
