Conditional Probability Courses and Certifications

An Intuitive Introduction to Probability

1889 ratings at Coursera

Build a toolbox for uncertainty: compute probabilities, update them with conditional probability, and work with expected values, variance, the binomial and the normal distribution.

• Coursera
• 5 weeks, 6 hours a week
• Self-Paced
• Paid Course

How Events Influence Each Other

Learn to distinguish independent and dependent events and calculate combined probabilities using the appropriate multiplication rule.

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

Career Certificate

Advanced Probability

Builds probability intuition through compound events, independence, tree diagrams, and practical decision-making.

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

BiteSize Stats: Probability Rules and Bayes Theorem

Compute probabilities from axioms, apply addition and multiplication rules, build contingency tables and probability trees, count with permutations and combinations, and update beliefs with Bayes' Theorem.

• Coursera
• 5 weeks, 16 hours a week
• Self-Paced
• Paid Course

TrevTutor

Discrete Mathematics - Counting, Recurrence Relations, Generating Functions, Probability, Graph Theory

2 ratings

Master essential discrete mathematics concepts including combinatorics, probability, recurrence relations, generating functions, and graph theory through comprehensive examples.

• YouTube
• 10 hours 49 minutes
• Self-Paced
• Free Video

Level 3 Intelligence Analyst Certification

1794 ratings at Udemy

Think in probabilities to forecast: build probability trees, utility trees and matrices, and apply Bayes' theorem in Excel to make specific intelligence predictions.

• Udemy
• 2 hours 8 minutes
• Self-Paced
• Paid Course

Program Structure and Algorithms Part 2

Master dynamic programming, network flow with Ford-Fulkerson and Push-Relabel, NP-completeness proofs, Bayes' rule, and approximation and randomized algorithms such as randomized quicksort and skip lists.

• Coursera
• 6 weeks, 5 hours a week
• Self-Paced
• Paid 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
• Self-Paced
• Free Video

Bayesian statistics

6 ratings at OpenLearn

This free course is an introduction to Bayesian statistics. Section 1 discusses several ways of estimating probabilities. Section 2 reviews ideas of conditional probabilities and introduces Bayes’ ...

• OpenLearn
• 12 hours
• Self-Paced
• Free Certificate

Probability and Statistics I: A Gentle Introduction to Probability

14 ratings at edX

This course provides an introduction to basic probability concepts. Our emphasis is on applications in science and engineering, with the goal of enhancing modeling and analysis skills for a variety of

• edX
• 3 weeks, 6-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Great Learning

Statistics for Data Science - Probability and Statistics Tutorial

One of the most critical aspects of the data science approach is our perception of getting the information processed. In developing insights from our accumulated data, we dig out the possibilities. And those possibilities are known as statistical analysi…

• YouTube
• 7 hours 13 minutes
• Self-Paced
• Free Video

Steve Brunton

Probability Bootcamp

Master probability fundamentals from counting to advanced distributions, including CLT, Bayes' theorem, and random variables for data science applications.

• YouTube
• 10 hours 37 minutes
• Self-Paced
• Free Video

Probability: Basic Concepts & Discrete Random Variables

Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science.

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

VinAI

Comparing Probability Distributions with Conditional Transport

Explore conditional transport as a new divergence for comparing probability distributions, with applications in generative modeling and resistance to mode collapse.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

MathTrackX: Probability

Understand probability and how it manifests in the world around us.

• edX
• 4 weeks, 3-6 hours a week
• Self-Paced
• Free Online Course (Audit)