On November 7, 2019, The CAS Institute (iCAS) will administer the third exam for its Certified Specialist in Predictive Analytics (CSPA) credential. “Predictive Modeling — Methods and Techniques” focuses on advanced tools using various multivariate regression techniques, statistical modeling, machine learning and practical applications.
“This exam is really the first of its kind … examinees … may be asked to write simple R code and run that code against a provided dataset,” explains Joanne Spalla, president of The CAS Institute. “Together with the final case study, Exam 3 is where CSPAs demonstrate their ability to apply their analytics and modeling knowledge to a real-life situation.”
Created specifically for predictive analytics professionals in property-casualty insurance, the CSPA credential covers the fundamentals of P&C insurance, data concepts and visualization, and predictive modeling methods and techniques. The credential is open to any analytics practitioner and offers these professionals and their employers the opportunity to certify technical skills and knowledge specifically as applied to P&C insurance.
“Professionals with the CSPA credential enter this growing field already having proven their ability to address real-world situations. We now hear from employers that they are coming to rely on the CSPA credential to bolster the predictive analytics skills on staff and to find the right candidates for future positions,” Spalla says.