Stat 3302: Statistical Modeling for Discovery II (Spring 2017)

Peter F. Craigmile

Email: pfc <at>
Office: Cockins Hall, Room 427

This course continues to investigate statistical models for data analysis and discovery in big-data settings. The regression methods developed in Stat 3301 are extended to data settings with binary and multi-category outcomes. An introduction to some of the most commonly used statistical methods for exploring and analyzing multivariate data is provided. Interpretation and communication of the results of analyses is emphasized.

Prerequisites: Stat 3301 (Statistical Modeling for Discovery I); A knowledge of linear algebra.

  • This course is typically hosted on Carmen.

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