This paper presents a review of an innovative course on “Advanced Statistics” for a master program in data science. The pre- requisites for this course include fundamental knowledge in Mathemat- ics, 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 gen- eral goals, description of the content, description of the structure of each week, description of the evaluations, and overall outcomes from students of the course.
Bahrami M.R, Masyagin S, Succi G (2020). A Review of the Structure of a Course on Advanced Statistics for Data Scientists. Springer Nature Switzerland AG [10.1007/978-3-030-57663-9_2].
A Review of the Structure of a Course on Advanced Statistics for Data Scientists
Succi G
2020
Abstract
This paper presents a review of an innovative course on “Advanced Statistics” for a master program in data science. The pre- requisites for this course include fundamental knowledge in Mathemat- ics, 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 gen- eral goals, description of the content, description of the structure of each week, description of the evaluations, and overall outcomes from students of the course.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
