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

Lecture Hours: 3.00 Lab Hours: 0Total Hours: 3.00

Semesters

Spring 2025 Semester
Course Title Instructor Campus Section Syllabus
Advanced Data Analytics Fengrong Wei, Ph.D. Carrollton 01 external Syllabus via Concourse External Resource