Introduction to Data Science (DATA*6100)

Code and section: DATA*6100*01

Term: Fall


DATA*6100  Introduction to Data Science  Fall Only  [0.50]  

The course includes an introduction to the methods of modern statistics such as splines, general additive models, principal components analysis, and classifiers. Students learn resampling methods such as bootstrap, cross-validation, boosting, and bagging. Methods of model selection include search-and-score and regularization, and students practice communicating technical ideas to a non-technical audience, including via data visualization.

Restriction(s): Restricted to Master of Data Science students.  


PDF icon Course Outline (Fall 2021)200.1 KB