MATH 408 - Advanced Data Analysis
Description
Hours: Three hours lecture per week Prerequisite: MATH 398 Introduction to data management and analytics. Bayesian methods, multivariate data, multivariate normal distribution, multivariate regression, principal components, factor, canonical correlation, discriminant analyses, and clustering. Extensive use of appropriate statistical and programming software. Course will be taught in a computer lab.
Meeting Information
| Days | Times | Room | Meeting Dates | Instructor |
|---|---|---|---|---|
| F | 9:00 AM - 11:45 AM | OJAI HALL 1972 | 8/24/2019 - 12/20/2019 | Alona Kryshchenko |
Status: Open
Class Number: 2751
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 8/24/2019 - 12/20/2019
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 8
Available Seats: 16
Wait List Capacity: 10
Wait List Total: 0
Enrollment Information
- Upper Division