Using standard, industry-accepted informatics tools, you will design and create descriptive, diagnostic and predictive models. Learn how to translate stakeholder needs into model designs and understand the ethical implications of the analytical models you use.
Use data analytic and presentation tools to model problems with moderate to advanced complexity.
Create predictive analytic techniques for simple to moderate data relationships.
Compare diagnostic and predictive models.
Analyze data using a diagnostic model.
Explain forms of time series models and strengths and weaknesses of each.
Create a time series model for a case study.
Differentiate the ethical implications of modeling and predictive analytics.
Assess stakeholder needs in modelling and predictive analytic designs.
It is recommended that students have completed the following courses:
A full course refund will only be provided if you withdraw from the course prior to the course start date. A refund, less a $15 administrative fee, will be issued if you withdraw within 6 calendar days after the official course start date. Depending on your method of payment, a refund will be either mailed to you or credited to your credit card.