This e-course focuses on the applications of statistical development and introduces you to advanced business analytics techniques. The SOA defines advanced business analytics as a set of tools and techniques that help businesses make better decisions. The main emphasis in this course is to help you understand and implement results, but decision-making and risk analysis are also covered.
At the end of this e-course, you should be able to:
- Use the computing environment R to analyze data.
- Explain the differences between ordinary least squares and generalized linear models (GLM).
- Use software to estimate the parameters of a GLM.
- Select an appropriate GLM for a given data set, including variable selection and diagnostics.
- Use GLMs to perform classification rate-making.
- Explain how the generalized linear mixed model incorporates credibility.
- Use various models, including GLMs, to estimate variability in reserve estimates.
- Understand how Bayesian and bootstrap methods are used in estimating variability in reserve estimates.
- Understand how clustering methods can be used in setting predictor variables.
- Individuals engaged in the actuarial profession at any level looking to fulfill their CPD requirement.
- This e-course is for professional development. It's not intended to substitute for any professionalism requirements for the ASA, CERA or FSA credentials. If you wish to register for an e-learning module to attain a designation, please visit the e-learning module Web page .
- Ultimately, it's an actuary's responsibility to make a reasonable, good-faith determination of what continuing education opportunities will enhance his or her ability to practice in a desired field. For more information on continuing education requirements, visit soa.org/CE .