Data Mining for Business Analytics

Catalog description

Data mining for Business Analytics teaches students the process of using Python to work with large data sets and identify patterns and relationships in order predict future trends applicable in business. Topics include Dimension Reduction, Predictive Performance, Multiple Linear Regression, Naive Bayes Classifier, Classification and Regression Trees, Logistic Regression, Forecasting Time Series, and Text Mining. Prerequisite(s): IT 600 and IT 601 .