Risk
Probability and Random Variables
Probability rules, Bayes' theorem, discrete and continuous distributions
2 CPD credits on completion
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Certificate on completion
Downloadable resources
Self-paced learning
About This Course
Course Information
This course discusses probability and random variables and is made up of videos, questions and additional reading materials. It accounts for 2 units of CPD. One unit is the equivalent of one hour of learning. A certificate will be issued once you have completed all 2 units.
Course Sections
This course is made up of the following sections:
- Fundamentals and Probability (video + quiz)
- Random Variables (video + quiz)
- Common Univariate Random Variables (video + quiz)
- Additional reading materials
What You Will Learn
- Apply the rules of probability, including conditional probability and Bayes' theorem
- Distinguish between discrete and continuous random variables and their probability functions
- Describe common discrete distributions: Bernoulli, Binomial, and Poisson
- Explain continuous distributions including Normal (Gaussian), Uniform, and Beta
- Calculate expected value, variance, skewness, and kurtosis for random variables
- Identify how probability distributions are used in financial risk modelling
Who This Course Is For
- Finance professionals who need quantitative foundations for risk modelling or data analysis
- Accountants preparing for roles that involve statistical analysis or financial forecasting
- Professionals building toward advanced study in quantitative risk management
Prerequisites
- Basic algebra and comfort with mathematical notation
- No prior study of probability theory is required, though some exposure to statistics will be helpful
Frequently Asked Questions
Course Details
CPD Credits2
CertificateYes
Pricing
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CPD certificate on completion
Downloadable resources
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