Course Details
Course Code: DATS442 Course ID: 5153 Credit Hours: 3 Level: Undergraduate
This course focuses on the Bayesian approach to probability and statistics and applies it to tools and methods used in data science. This course starts with a brief review of the tenets of probability that form the foundation for Bayes Theorem. Next, it discusses Bayes Theorem in-depth. Then, it considers the Bayesian approach to inference, examines the Naïve Bayes model, and develops Bayesian regression. (Prerequisite: MATH328)
- MATH328 - Probability Theory with Applications
Prerequisites
Course Schedule
Registration Dates | Course Dates | Start Month | Session | Weeks |
---|---|---|---|---|
Registration12/30/2024 - 05/30/2025 | Course Dates06/02/2025 - 07/27/2025 | Start Month June | SessionSpring 2025 Session D | Weeks8 Week session |
Registration03/31/2025 - 08/29/2025 | Course Dates09/01/2025 - 10/26/2025 | Start Month September | SessionSummer 2025 Session D | Weeks8 Week session |