Description

: This course focuses on the application of data mining techniques and predictive analytics to business problem-solving. It covers key algorithms and techniques for extracting meaningful insights from business data, including data preprocessing, decision trees, neural networks, k-nearest neighbors, clustering, and association rules. Students will gain hands-on experience with data mining tools and software, applying these techniques in managerial contexts such as customer relationship management, marketing, sales, credit scoring, and churn analysis.

Posting limited to:

Professeur à temps-partiel régulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/05/19

Applications must be received BEFORE (YYYY/MM/DD):

2026/06/20

Expected Enrolment:

40

Approval date:

2026/05/19

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Tea...