Math 380: Statistical Computing and Data Analysis
Mathematics
This course is an introduction to statistical computing and data analysis in R or SAS. Topics include basic programming, simulation and bootstrap sampling, exploratory data analysis, statistical graphics, simple linear and multiple linear regression modeling, logistic regression and classification, linear discriminant analysis and clustering. Real data applications are emphasized in this course.
3 Credits
Prerequisites
- Math 375: Introduction to Statistics I (Minimum grade: C)
Instruction Type(s)
- Lecture: Lecture for Math 380
Subject Areas
The policies and regulations contained in this online University of Mississippi Catalog are in effect for the current or selected semester. The catalog is not a contract, but rather a guide for the convenience of students. The University of Mississippi reserves the right to 1) change or withdraw courses; 2) change the fees, rules, and schedules for admission, registration, instruction, and graduation; and 3) change other regulations affecting the student body at any time. Implicit in each student’s enrollment with the university is an agreement to comply with university rules and regulations, which the university may modify to exercise properly its educational responsibility.