Global Certificate in Probability Theory Basics
-- viewing nowGlobal Certificate in Probability Theory Basics: This course is designed to provide a solid foundation in probability theory, a critical skill for data analysis, machine learning, and AI industries. It is essential for professionals working with data, including data scientists, statisticians, and analysts.
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Course Details
• Probability Basics: Introduction to probability theory, sample spaces, events, and probabilities.
• Probability Axioms: Study of probability axioms, their interpretations, and consequences.
• Conditional Probability: Definition and properties of conditional probability, conditional independence.
• Discrete Random Variables: Concept of random variables, probability mass functions, cumulative distribution functions, and expectations.
• Continuous Random Variables: Concept of continuous random variables, probability density functions, cumulative distribution functions, and expectations.
• Joint and Marginal Distributions: Definition and properties of joint and marginal distributions, conditional distributions.
• Expected Values and Moments: Computation of expected values, variances, and higher moments for random variables.
• Common Random Variables: Study of common discrete and continuous random variables, their distributions, and properties.
• Theorem of Total Probability and Bayes' Rule: Derivation and applications of the theorem of total probability and Bayes' rule.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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