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

Info current as 11/4/2024
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: Required
ISBN: 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

Notes

Prerequisite course required. Consult CSUCI Catalog