MATH-3873 Statistical Programming
School of Computing, Analytics, and Modeling
Dr. Perry College of Mathematics, Computing, and Sciences
Description
This course helps develop programming skills necessary for statistical analysis and data science. Students will learn the basic syntax and functions of the programming language, data organization and visualization, programming, as well as how to use existing packages of the language. Case studies in applied statistics, data science, or machine learning will be discussed.
Requisites
Prerequisites: MATH 1401 or MATH 3203 or MATH 3063 or MATH 4213 or DATA 1501 or ECON 3402 or CRIM 4003 or PSYC 2003 or SABH 4003 or SOCI 4003
Course Hours
Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00
Semesters
| Course Title | Instructor | Campus | Section | Syllabus |
|---|---|---|---|---|
| Statistical Programming | Nguyen Hoang, Ph.D. | Carrollton | 01 | external Syllabus via Concourse External Resource |