Description
From Data to Knowledge
This course uses a Case-Study approach to teach statistical techniques with R: confidence intervals, hypotheses tests, regression, and anova. Also, it covers major statistical learning techniques for both supervised and unsupervised learning. Supervised learning topics cover regression and classification, and unsupervised learning topics cover clustering & principal component analysis. Prior basic statistic skills are needed.
Details
Grading Basis
Graded
Units
3
Component
Lecture - Required
Offering
Course
APMA 3150
Academic Group
Engineering & Applied Science
Academic Organization
Applied Mathematics