MATH-4873 Advanced Data Analytics
School of Computing, Analytics, and Modeling
Dr. Perry College of Mathematics, Computing, and Sciences
Description
This course introduces computation-intensive statistical approaches and modern machine learning methods. Topics include:1. R-computing and programming (intermediate to advanced)2. Rmarkdown3. Data scraping and text mining4. Random number simulations5. Bootstrapping6. Optimization7. Regression8. Analysis of Variance9. Classification, Clustering10. Network data analysis
Requisites
Prerequisites: MATH 3203 and MATH 3873
Course Hours
Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00
Semesters
| Course Title | Instructor | Campus | Section | Syllabus |
|---|---|---|---|---|
| Advanced Data Analytics | Fengrong Wei, Ph.D. | Carrollton | 01 | external Syllabus via Concourse External Resource |
| Course Title | Instructor | Campus | Section | Syllabus |
|---|---|---|---|---|
| Advanced Data Analytics | Fengrong Wei, Ph.D. | Carrollton | 01 | external Syllabus via Concourse External Resource |