Post Secondary
IT - Data

Employs Python, Excel, R, and other GUI software to explore a variety of algorithms that fall under the umbrella of predictive analytics and data mining. Learners derive meaning from data using neural networks. Learners apply statistical models including linear and logistic regression. Lastly, learners evaluate data using Naïve Bayes and Bayesian Networks. Learners demonstrate their findings via PowerPoint and short video presentations.

Student has completed or is in process of completing all of the following course(s): ITDATA 10156111 - Data Mining & Predicitve Ana 2

Availability & Registration

We offer the following class sections for this course (10-156-115). View more class specific details and registration information by selecting a class number.

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