Probability Theory Courses and Certifications

Probability Theory and Regression for Predictive Analytics

Master probability theory and regression techniques to build predictive models using Python, covering Bayes' Theorem, distributions, OLS, and advanced regression methods.

• Coursera
• 12 hours
• On-Demand
• Paid Course

CodeEmporium

Probability Theory for Machine Learning

Master probability theory fundamentals for ML: random variables, distributions, PMFs, PDFs, and likelihood estimation in under 3 hours.

• YouTube
• 2 hours 33 minutes
• On-Demand
• Free Video

Understanding Clinical Research: Behind the Statistics

889 reviews

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place.

• Coursera
• 1 day 3 hours 11 minutes
• On-Demand
• Paid Course

• Best of All Time

International Mathematical Union

Probability Theory for Random Groups Arising in Number Theory

Explores probability theory for random groups in number theory, topology, and combinatorics. Covers moment problems, universality theorems, and distributions of class groups and Selmer groups.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Steve Brunton

Set Theory in Probability - Sample Spaces and Events

Explore fundamental set theory concepts and their application in probability, including sample spaces, events, and key operations like unions and intersections through clear examples.

• YouTube
• 24 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Sample Space and Events in Probability Theory

Explore the fundamentals of probability theory, including random phenomena, sample spaces, events, and conditional probability concepts.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Data Science Math Skills

12 reviews

Master essential math concepts for data science: set theory, real numbers, functions, graphs, rates of change, and probability theory. Build a strong foundation for advanced analysis.

• Coursera
• 13 hours 20 minutes
• On-Demand
• Paid Course

Probability Theory and Stochastic Processes I - Lecture 5

Explore Principal Components Analysis and foundational probability concepts including Central Limit Theorem, utility optimization, and stochastic processes like martingales in finance.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

Two Constructive Approaches to Probability Theory

Explores constructive approaches to probability theory, comparing frequentist and pointfree metric methods with classical Kolmogorov axioms and other paradigms in mathematics.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Centre International de Rencontres Mathématiques

Synthesising Random Variables - A Synthetic Approach to Probability Theory

Explore a synthetic approach to probability theory through axiomatising primitive random variables and developing foundational mathematical frameworks.

• YouTube
• 54 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Structures in Randomness - An Invitation to Probability Theory

Discover the hidden patterns and mathematical structures that emerge from randomness through an engaging introduction to probability theory fundamentals.

• YouTube
• 1 hour
• On-Demand
• Free Video

Centre for Networked Intelligence, IISc

Sample and Event Space - Introduction to Probability Theory

Discover fundamental probability concepts including sample spaces, event spaces as σ-algebras, and their properties through functions, cardinality, and random experiments.

• YouTube
• 25 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Chebyshev's Inequality in Probability Theory

Explore the mathematical concept of Chebyshev's Inequality, a fundamental principle in probability theory and statistics.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Introduction to Probability

Master probability theory fundamentals from MIT, covering random variables, Bayesian inference, statistical analysis, and Markov chains for data analysis applications.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Stanford CS109 - Introduction to Probability for Computer Scientists 2022

Master probability theory fundamentals through combinatorics, random variables, distributions, and machine learning applications in this comprehensive Stanford computer science program.

• YouTube
• 1 day 11 hours 25 minutes
• On-Demand
• Free Video