Data Analytics

Catalog description

Introduction to predictive modeling techniques such as logistic regression, decision trees, nearest neighbors, and clustering analysis. Applications in areas such as health care, consumer preference and fraud detection. Includes overview of model-building methodology and ethical considerations in applying predictive analytics models.