Financial Data Science II

Course Number: 46923

The second in a two-course sequence covering methods of extracting useful information from raw financial data. Focus is placed on tools of data exploration and mining, motivated by the handling of modern financial data sets. Topics include data cleaning, data visualization, dimension reduction, clustering, Bayesian methods, and making discovery claims. Non-MSCF students may not take this course without written permission from the instructor. To be eligible, you must be a BSCF student, or a graduate student enrolled in an MSCF participating college (Dietrich, Heinz, Tepper or Mellon). PhD students with relevant research may also be eligible.

Concentration: Statistics / Data Science
Semester(s): Mini 2
Required/Elective: Required
Prerequisite(s): 46921