The Certified Probability and Statistics Professional (CPSP) professional certification program is designed to provide a comprehensive understanding of probability theory, statistics, and their applications in various fields. The program covers various topics such as random variables, multivariate random variables, random processes, and Markov chains. The program aims to equip professionals with the knowledge and skills necessary to make informed decisions in a statistical context.

Certification Program Objectives:

1. Understand the fundamental concepts of probability theory and random variables, including the types of distributions and their properties.
2. Learn about multivariate random variables and expectation, including covariance and correlation matrices, and their applications in statistical inference.
3. Understand random processes and convergence, including different types of convergence and their applications in statistical analysis.
4. Learn about Markov chains and statistical analysis and their applications in data analysis and modeling.

Certifying Examination:

• To be certified as CPSP, student should take up a 1.5 hours exam at the designated examination centers.
• The qualifying exam would consist of 50 multiple choice questions, testing core certification modules.
• Professionals with relevant experience and other qualifying criteria may be exempted from the examination.

Modules:

1. Probability Theory and Random Variables
2. Multivariate Random Variables and Expectation
3. Random Processes and Convergence
4. Markov Chains and Statistical Analysis