Opportunity Description
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 ProfessorDate Posted (YYYY/MM/DD):
2026/07/14Applications must be received BEFORE (YYYY/MM/DD):
2026/08/15Expected Enrolment:
40Approval date:
2026/07/14Number of credits:
3Work Hours:
39Hourly Rate:
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