Statistical Data Science I.

Catalog description

Semester course; 3 lecture hours. 3 credits. Enrollment requires permission of the instructor or graduate director. Familiarity with computer programming is strongly recommended. Topics include processing data from multiple sources and of different types; presentation of complex data; programming statistical and machine learning algorithms, such as maximum likelihood, least squares, etc.; design, implementation and analysis of simulation studies. Other topics will be covered that reflect the current needs of data scientists.