Introduction to Actuarial Science
About this Course
You may have heard of actuarial science, or you might even know an actuary, but do you know what an actuary does? During the course you’ll hear from a wide variety of actuaries about their careers. And don’t be scared that the course will be “just a whole lot of mathematics”. Together, we will go beyond the math to learn how actuaries approach problems relating to risk, using examples from: Finance Investments Banking Insurance You will learn how actuarial science applies mathematical and statistical methods to assess risk in these industries and other professions. You’ll experience “hands-on” learning using Excel (or an equivalent spreadsheet tool) to project and investigate the financial condition of a company choosing appropriate strategies for the company through the use of simulations. The course has been carefully designed for students from a wide variety of backgrounds, with secondary/high school level being the only assumption of mathematical background. Even if you don’t have any background in, for example, calculus, the course has been designed so you can skip over these sections without affecting your understanding of the rest of the course. You also do not need to have any Excel or other spreadsheet background to take the course. For those with stronger mathematical backgrounds, extension questions are provided to test you further. You’ll learn a huge amount about actuarial science no matter what your background is! "Great introduction to this specialized field; every day there are new challenges where as a student you are put in a situation to learn and apply the lessons with practical exercises. Great structure of the course, with main concepts to review at the end of a lesson. I would recommend to anyone who would like to learn more about actuarial science." - Previous studentCreated by: Australian National University
Level: Introductory
Related Online Courses
In this course, you will learn how to organize your data within the Microsoft Office Excel software tool. Once organized, we will discuss data cleaning. You will learn how to identify outliers and... more
A typical data analysis project may involve several parts, each including several data files and different scripts with code. Keeping all this organized can be challenging. Part of our... more
Linear regression is commonly used to quantify the relationship between two or more variables. It is also used to adjust for confounding. This course, part ofourProfessional Certificate Program in... more
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in thi... more
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in thi... more