DAT 201
Data Analytics & Modelling

Total Units :: 3.0

Course Outlines

This course offers an introduction to data science and machine learning paving the way for students to learn data analytics principles. In particular, this course begins with a brief history of data analytics and data science, followed by regression analysis, regression and classification trees, and ends with introductions to K-means clustering, principal component analysis (PCA). Each lecture has associated with it a practical lab session which students will put theory into practice offering students a hands-on approach to learning the material.

No Classes Currently Open for Registration

Please check back when registration opens for the next term. Spring term registration opens mid-March and Fall/Winter term registration opens mid-July. Please refer to the Schedule tab for your program to review the planned academic year schedule.

Continuing Education

DAT 201
Data Analytics & Modelling

No Classes Currently Open for Registration

More Information

DAT 201Data Analytics & Modelling

No Classes Currently Open for Registration

More Information

DAT 201
Data Analytics & Modelling