Description

:Analysis and design of various data cleaning, wrangling, blending, and visualization, statistical inference, classification, clustering, regression, and content analysis methods. Use of machine learning algorithms to extract meaningful information from data to make decisions. Formulating analytics problems for business and developing, evaluating, and maintaining machine learning models. Analyzing, generating, and communicating insights on the models. Hands-on experience with an integrated set of current data analytics, data mining, and machine learning tools.

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:

60

Approval date:

2026/05/19

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseign...