DS 807 (01) - Modeling Unstructured Data

Unstructured Data

Durham   Paul College of Business&Econ :: Decision Sciences
Credits: 3.0
Term: Spring 2024 - Term 4 (03/25/2024 - 05/17/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 53433
This course introduces students to statistical and machine learning tools for modeling unstructured data; including emails, documents, text messages, and social media data. Topics to be covered include text mining, clustering, mixture models, deep learning, and topic models. The course integrates numerous applications to demonstrate practical approaches to analyzing large unstructured collections of data. Application areas include Marketing (Yelp and Trip Advisor reviews), Human Resources (health care plan analysis), Social Media (Twitter, YouTube, and Instagram). The course delivery will be a mix of lectures, readings/podcasts with discussion, and hands-on data analysis.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): DS 805
Instructors: Courtney Paulson

Times & Locations

Start Date End Date Days Time Location
3/25/2024 5/17/2024 R 2:10pm - 5:30pm PBLANE 216