QM 238 - Data Analytics in Business II

3 credit hours - A detailed introduction of data analytics for business applications using Python based machine learning and deep learning libraries. Topics covered include advanced classification, logistic regression, polynomial regression, dimensionality reduction using Principal Component Analysis (PCA), density-based clustering and an introduction to deep neural networks like CNN and RNN. Students will apply techniques covered in class to recommend solutions to common business problems. Prerequisite(s): QM 237 and MIS 161.