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Probability Theory for Actuarial Exam P

Master essential probability concepts and discrete distributions required for the Society of Actuaries Exam P through practical examples and applications.

Master essential probability concepts and discrete distributions required for the Society of Actuaries Exam P through practical examples and applications.

This comprehensive course prepares students for the Society of Actuaries Exam P by covering fundamental probability theory and its applications in actuarial science. The curriculum progresses from basic data analysis and descriptive statistics to advanced probability concepts and discrete distributions. Students learn to analyze central tendencies, calculate probabilities, and apply various probability distributions in risk management contexts. The course emphasizes practical applications in actuarial work, focusing on modeling future contingent events and understanding their timing, frequency, and severity.

Instructors:

English

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Probability Theory for Actuarial Exam P

This course includes

9 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

18,605

Audit For Free

What you'll learn

  • Master central tendency measures and data analysis techniques

  • Calculate probabilities for discrete events using various methods

  • Apply Bayes Theorem and conditional probability concepts

  • Understand and utilize different discrete probability distributions

  • Calculate mathematical expectations for random variables

  • Develop skills in modeling business risk using probability theory

Skills you'll gain

Probability Theory
Actuarial Science
Risk Management
Discrete Distributions
Data Analysis
Statistical Analysis
Mathematical Expectation
Bayes Theorem

This course includes:

PreRecorded video

Graded assignments, Exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Module Description

This comprehensive course provides a thorough foundation in probability theory for actuarial applications. The curriculum covers essential topics from basic data analysis to complex discrete probability distributions. Students learn to analyze datasets, calculate probabilities, and apply various probability models in risk management contexts. The course content aligns with the Society of Actuaries Exam P requirements, making it ideal for aspiring actuaries. Special emphasis is placed on practical applications and understanding how probability concepts apply to real-world actuarial challenges.

Fee Structure

Instructor

Distinguished Leader in Actuarial Science Education

Gordon Enderle serves as Teaching Faculty III and Director of the Actuarial Capstone program in the Risk and Insurance Department at the University of Wisconsin-Madison's School of Business. With a BS from Princeton University earned in 1983, he has established himself as a key figure in actuarial science education. As the program director, he oversees the prestigious Capstone Certificate in Actuarial Science program, which prepares students for successful careers in the actuarial field. His leadership role includes developing curriculum, teaching advanced actuarial courses, and guiding students through the professional certification process. Based in Grainger Hall, he plays a vital role in maintaining UW-Madison's reputation as a Center of Actuarial Excellence, helping to prepare students for a field where professionals can earn between $150,000 to $250,000 annually. His work contributes significantly to meeting the growing demand for actuaries, projected to increase by 22 percent according to the U.S. Bureau of Labor Statistics.

Probability Theory for Actuarial Exam P

This course includes

9 Weeks

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

18,605

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.