Apr 02, 2026  
2026-2027 UNDERGRADUATE CATALOG 
    
2026-2027 UNDERGRADUATE CATALOG
Add to Portfolio (opens a new window)

BI 4319 - Data and Text Mining for Business Applications

Credits: 3 Class: 3 Lab: 0
Crosslisted: None
Prerequisite(s): STAT 2305 “C” or higher Corequisite(s): None
This course provides students with a comprehensive foundation for the essential techniques and tools to uncover patterns, trends, and relationships within large datasets. Emphasizing theoretical concepts and practical applications, the course explores various data and text mining methods to extract valuable insights from structured and unstructured data.  The content covers classification, prediction, forecasting, text mining, and sentiment analysis topics. Students will be equipped with the skills necessary to transform raw data into actionable knowledge, making informed decisions and contributing to data-driven strategies in their chosen fields.



Add to Portfolio (opens a new window)