A review of the structure of a course on advanced statistics for data scientists

Abstract

This paper presents a review of an innovative course on “Advanced Statistics” for a master program in data science. The prerequisites for this course include fundamental knowledge in Mathematics, Computer Science, and Economics. The expected learning outcome is centered on the ability to model empirical investigations in terms of hypotheses to prove via suitable statistical tests. The paper contains general goals, description of the content, description of the structure of each week, description of the evaluations, and overall outcomes from students of the course.