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Bibliographic Details

Title: Actuaries' Survival Guide: Navigating the Exams as Applications of Data Science
Publisher: Academic Press (edition 3)
Publication Date: 2024
Language: English
ISBN 10: 044315497X
ISBN 13: 9780443154973
Binding: Paperback
Edition: 3.
Condition: Very Good

About this title

Synopsis

Actuaries' Survival Guide: Navigating the Exams as Applications of Data Science, Third Edition explains what actuaries are, what they do, and where they do it. The book describes exciting combinations of ideas, techniques, and skills involved in their day-to-day work. This edition has been updated to reflect the rise of social networking and the internet, the progress toward a global knowledge-based economy, and the global expansion of the actuarial field that has occurred since the prior edition.

Includes details on the Society of Actuaries’ (SOA) and Casualty Actuarial Society (CAS) examinations, as well as sample questions and answers
Presents an overview of career options and includes profiles of companies and agencies that employ actuaries
Provides a link between theory and practice and helps readers understand the blend of qualitative and quantitative skills and knowledge required to succeed in actuarial exams
Offers insights provided by real-life actuaries and actuarial students about the profession

About the Authors

Ping Wang works at St John's University - Tobin College of Business, NY, USA.

Author of:

The Linear Algebra Survival Guide, 1st Edition

Actuaries' Survival Guide, 2nd Edition

Actuaries' Survival Guide, 1st Edition

Linear Algebra: An Introduction using Maple, 1st Edition

Linear Algebra: An Introduction using Mathematica, 1st Edition

Fred E. Szabo is professor in the Department of Mathematics and Statistics at Concordia University in Canada. He completed his undergraduate studies at Oxford University under the guidance of Sir Michael Dummett and received a Ph.D. in mathematics from McGill University under the supervision of Joachim Lambek. After postdoctoral studies at Oxford University and visiting professorships at several European universities, he returned to Concordia University as a faculty member and dean of graduate studies. For more than twenty years, he developed methods for the teaching of mathematics with technology. In 2012 he was honored at the annual Wolfram Technology Conference for his work on "A New Kind of Learning" with a Wolfram Innovator Award. He is currently professor and Provost Fellow at Concordia University.

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