APMA 3150 - From Data to Knowledge

This course uses a Case-Study approach to teach statistical techniques with R. Basic statistical techniques include confidence intervals, hypotheses tests, regression, and anova. In addition, the course covers major statistical learning techniques for both supervised and unsupervised learning. Supervised learning topics cover regression and classification while unsupervised learning topics cover clustering and principal component analysis.

Credits: 3