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RETL 603 Retail Science and Data Analytics (3 credits)

Offered by: Management (Desautels Faculty of Management)

Administered by: Graduate Studies

Overview

RETL : 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.

Terms: Fall 2022

Instructors: Serpa, Juan Camilo (Fall)

  • Corequisite: RETL 601

  • Restriction: Open only to Master's students within Desautels Faculty of Management.

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