Actuarial and Data Sciences - ACS 450

The course equips students with foundation elements of predictive analytics tools and techniques for solving business and actuarial problems. Through several applications, the course illustrates linear models, generalized linear models, decision trees, principal component analysis, and cluster analysis. Students will acquire skills to fit these statistical models, evaluate their performance, select model features, and interpret the output produced. Prerequisites: STA 315 and STA 312.