Advanced Data Analysis

Course #OS4106

Est.imated Completion Time: 3 months

Overview

This course moves beyond the ordinary linear model to other types of statistical models that will be appropriate in different circumstances. Students are first introduced to supervised models, including logistic regression and "generalized linear models" (GLM). The importance of complexity control and a training-set/test-set division is emphasized. Non-parametric models are introduced through classification and regression trees. Classification performance assessment is discussed. Unsupervised models, to include clustering and principal components are presented. Throughout the course, examples are drawn from practical experience with conducting research and solving problems for Navy and DoD customers.

Included in degrees & certificates

  • 268
  • 367

Prerequisites

  • OA3103
Offerings database access
Asset Publisher

Academic Calendar

  •  06 Jun 2023

    Spring quarter pre-graduation awards ceremony

  •  09 Jun 2023

    Spring quarter last day of classes

  •  13 Jun 2023

    Spring quarter final examinations begin