DATA 480 - Predictive Analytics and Modeling

Description
Predictive Analytics & Modeling course is designed to build upon the foundation of the Predictive Analytics and Modeling Fundamentals. This course cover from intermediate to more advanced topics in predictive modeling, including unsupervised learning, ensemble learning, deep learning, reinforcement learning, and neural networks. Students will learn about the latest techniques and algorithms used in these areas and will gain hands-on experience using these methods to build predictive models. Students will learn how to analyze complex data sets and make predictions about future events. The course also covers important aspects of deployment, such as the ethics of AI, privacy and security, and explainability. Students will learn how to build responsible AI systems that take into account the ethical implications of AI and data privacy.

3 Credits

Time Guidelines
The standard instructional time for this course is 75 hours.

Prerequisites

ARTI 406
DATA 440
STAT 400