RETL 603 — Retail Science and Data Analytics

Basic statistical techniques and methodologies including sampling, regression, classification methods, machine learning, and predictions using real cases and data sets across several retail sectors such as real estate, restaurant, entertainment and ecommerce. Conducting predictions using real cases and datasets across several retail sectors.

• Rating: 5.00 out of 5 from 20 student reviews
• Difficulty: 2.05 out of 5
• Credits: 3
• Faculty: Graduate Studies
• Department: Management
• Taught by: Yu Ma

Sections offered

• Section 095 (Lec), Mon 11:35 am-2:25 pm — 6 seats open