ACTU 202: Data Analysis and Statistical Computing


To acquaint students with elementary modern computing methods appropriate to the work of an actuary. This course is largely practical and involves analyzing large data sets. Students will be introduced to modeling and statistical simulations using modern statistical software such as R. Exploratory Data Analysis and Confirmatory Data Analysis of both univariate and bivariate cases will be explored. Applications will be tailored to meet requirements of the Actuarial profession with hands-on training sessions with large data sets. No ‘new’ statistical methods should be presented but interesting data can be analyzed using known methods on the chosen package. Topics should include graphics, descriptive statistics, representations of multivariate data, simple hypothesis tests, analysis of variance, and linear regression.