DAT 402 - Advanced Modeling Techniques and Visualization (WI)

Semester Hours: 3
(Writing Intensive)

A continuation of DAT 455 - Predictive Analytics. This course will introduce advanced generalized linear modeling and unsupervised modeling (machine learning) techniques utilizing real-world, messy datasets. The course will be project focused starting with exploratory data analysis, data cleaning and organization using deletion or imputation, and conclude with the implementation and evaluation of various models. Visualization techniques will be introduced throughout the project. The final project will involve participating in a Kaggle competition. Analysis, modeling, and visualizations will primarily be performed using R and Microsoft PowerBI though students will have the opportunity to employ other tools as they choose.

Pre-requisites: GEN 112 - Composition II: Argumentation and Research and DAT 455 - Predictive Analytics.