Probability Courses and Certifications

NPTEL-NOC IITM

Bayes' Theorem - Probability and Random Variables

Explore the fundamentals of Bayes' Theorem, including measurable functions, random variables, distribution functions, and probability mass functions.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Mr. Robinson's Virtual Math Classroom

Probability and Statistics: Sample Spaces, Events, and Distributions - Chapter 5 Review

Master probability concepts through comprehensive examples covering sample spaces, events, two-way tables, permutations, combinations, and binomial distributions with step-by-step solutions and detailed explanations.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Mr. Robinson's Virtual Math Classroom

Probability of Disjoint and Overlapping Events - Lesson 5.4

Master probability calculations for disjoint and overlapping events through detailed explanations and practice problems, focusing on unionization, mutually exclusive events, and dependent scenarios.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Mr. Robinson's Virtual Math Classroom

Probability and Statistics Quiz Review - Sections 5.1-5.3

Master probability concepts through guided solutions covering sample spaces, independent/dependent events, and two-way tables with step-by-step explanations of 15 practice problems.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Mr. Robinson's Virtual Math Classroom

Independent and Dependent Events in Probability - Lecture and Problems

Master probability concepts through a detailed exploration of independent and dependent events, conditional probability, and real-world applications with hands-on problem-solving practice.

• YouTube
• 1 hour 58 minutes
• Self-Paced
• Free Video

Mr. Robinson's Virtual Math Classroom

Sample Spaces and Probability - Lecture and Problem Set

Master fundamental probability concepts through sample spaces, outcomes, and real-world applications with step-by-step problem solving and practical examples that build lasting understanding of statistical principles.

• YouTube
• 1 hour 50 minutes
• Self-Paced
• Free Video

BIMSA

Highlights from the History of Probability

Explore key milestones in probability theory, from Hilbert's problems to martingales, with insights on Brownian motion, Central Limit Theorem, and stochastic processes.

• YouTube
• 1 hour 46 minutes
• Self-Paced
• Free Video

Chance to See Life - Expressing the World Through Probability

Exploring mathematical models and probability to interpret the world, blending quantitative analysis with human nature insights for a unique perspective on life and investment.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Schmid College, Chapman University

GCI Speaker Series: Probability, Statistics, and Philosophical Questions - Aubrey Clayton

Explore probability, statistics, and fallacies with Dr. Aubrey Clayton in this thought-provoking speaker series on economic data analysis and philosophical implications.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Isaac Newton Institute for Mathematical Sciences

Admitting Uncertainty: On the Role of Probability in Finance - Rothschild Lecture

Explore the role of probability in finance, focusing on model uncertainty and its impact on risk assessment. Gain insights into advanced probabilistic methods and their implications for the financial industry.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Isaac Newton Institute for Mathematical Sciences

Non-Local Differential Operators in Probability - Kirk Lecture

Explore non-local differential operators in probability theory, focusing on fractional-order operators and their applications in stochastic processes, anomalous diffusions, and renewal theory.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

UofU Data Science

Probability and Statistics: Joint Continuous Random Variables - Lecture 10

Master probability concepts through double integrals, marginal PDFs, and conditional expectations while exploring joint continuous random variables and their independence relationships.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

UofU Data Science

Probability and Statistics: Joint Discrete Random Variables and Distributions - Lecture 9

Master probability concepts from exponential distribution to joint discrete random variables, including marginal and conditional probability calculations for comprehensive statistical analysis.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

UofU Data Science

Probability and Statistics: Expectation of Random Variables - Lecture 8

Master probability concepts through discrete and continuous random variables, exploring Bernoulli, geometric, exponential, and normal distributions with practical examples and linearity principles.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

UofU Data Science

Continuous Random Variables and Probability Distributions - Lecture 7A

Master continuous random variables, probability density functions, and cumulative distribution functions while exploring uniform distribution concepts and practical applications.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video