Carnegie Mellon University

Financial Data Science I

Professor: Chad Schafer

Department: Statistics

Course Number: 46921

Description: The first 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, with particular emphasis on handling large and complex financial data sets. Topics include an overview of the R programming language, including how it can be used to work with “Big Data;” data cleaning; data visualization; natural language processing; nonparametric smoothing techniques; and unsupervised learning.

Prerequisites: None