Probability Courses and Certifications

Probability: Distribution Models & Continuous Random Variables

Learn about probability distribution models, including normal distribution, and continuous random variables to prepare for a career in information and data science.

• edX
• 6 weeks, 4-6 hours a week
• Self-Paced
• Free Certificate

Become a Probability & Statistics Master

14742 ratings at Udemy

Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions

• Udemy
• 15 hours 12 minutes
• Self-Paced
• Paid Course

Steve Brunton

Quality Control and Non-Destructive Inspection Using the Multinomial Distribution

2 ratings

Explore quality control principles through multinomial distribution, learning to assess batch reliability using non-destructive inspection methods and statistical sampling techniques.

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

London School of Economics and Political Science

Statistics 1 Part 1: Introductory statistics, probability and estimation

31 ratings at edX

The first in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further st

• edX
• 5 weeks, 12-15 hours a week
• Self-Paced
• Free Online Course (Audit)

Probability for Actuaries: Introduction to Discrete Distributions

This actuarial science course covers introductory probability theory that can be applied to risk management. Topics covered include an introductory examination of descriptive statistics of data sets,

• edX
• 9 weeks, 4-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Probability for Actuaries: Continuous Distributions

This actuarial science course covers the features and uses of continuous probability distributions as well as the law of large numbers and the central limit theorem. Multivariate discrete distribution

• edX
• 9 weeks, 4-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Career Certificate

Actuarial Science: Financial Math and Probability

This certificate program consists of four courses that cover the financial math and probability concepts you need to begin a career as an actuary.

• edX
• 33 weeks, 4-6 hours a week
• Self-Paced
• $788.00
• 4 courses

Introduction to Probability and Statistics for Machine Learning

Build foundational probability and statistics skills for machine learning through distributions, hypothesis tests, and linear regression.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Probability and Statistics

An introduction to probability and statistics spanning random variables, distributions, limit theorems, estimation, confidence intervals, and hypothesis testing.

• XuetangX
• Self-Paced
• Free Online Course

Probability and Mathematical Statistics

A mathematical treatment of probability that moves from random variables and limit theorems to estimation and hypothesis testing.

• XuetangX
• Self-Paced
• Free Online Course

Vitali's Convergence Theorem and Martingale Inequalities - Lecture 5

Delve into the proof of Vitali's convergence theorem, extension of stopping theorems to uniformly integrable martingales, and establishment of Doob's maximal and Lp inequalities in probability theory.

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

Can We Truly Understand by Counting? Understanding Complex Physical Systems Through Mathematics

Explore how counting methods illuminate complex physical systems and their limitations in understanding our world, presented by Fields Medal winner Hugo Duminil-Copin.

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

How to Put Uncertainty into Numbers - Understanding Chance, Luck and Ignorance

Explore how probability theory helps quantify uncertainty, chance, and luck in everyday life through practical examples and mathematical insights from a leading expert in risk understanding.

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

Steve Brunton

The Moment Generating Function

Discover how moment generating functions connect probability densities to Taylor series expansions, with examples using Poisson, normal, and exponential distributions.

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

UofU Data Science

Probabilistic Modeling - Spring 2016

Master statistical inference, Bayesian methods, and uncertainty quantification through comprehensive probabilistic modeling techniques for data science applications.

• YouTube
• 1 day 12 hours 7 minutes
• Self-Paced
• Free Video