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 |
|---|---|---|---|---|
| W | 6:00 PM - 8:50 PM | OJAI HALL 1964 | 8/27/2016 - 12/23/2016 | Matthew Wiers |
Status: Open
Class Number: 1944
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Dates: 8/27/2016 - 12/23/2016
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 7
Available Seats: 13
Wait List Capacity: 5
Wait List Total: 0
Textbook / Other Materials
Status: RequiredISBN: 9781118727966
Title: Applied Predictive Analytics
Publisher: John Wiley & Sons, Incorporate
Author: Abbott
Status: Required
ISBN: 9781118727935
Title: Applied Predictive Analytics: Principles and Techn
Publisher: John Wiley & Sons, Incorporate
Author: Abbott
More textbook information including prices
Enrollment Information
- Upper Division