Conditional Probability Courses and Certifications

jbstatistics

Basics of Probability

1 review

Learn fundamental probability concepts including unions, intersections, complements, conditional probability, independence, and De Morgan's Laws through clear explanations and examples.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Online Course

NPTEL;  IIT Madras

Probability Foundation for Electrical Engineers

Comprehensive exploration of probability theory for electrical engineers, covering fundamental concepts, random variables, expectation, and limit theorems with rigorous mathematical foundations.

• YouTube
• 1 day 14 hours
• On-Demand
• Free Online Course

NPTEL;  IIT Kanpur

Probability and Random Variables - Processes for Wireless Communications

Explore probability and random processes in wireless communications, covering axioms, conditional probability, random variables, and applications in fading channels and array processing.

• YouTube
• 10 hours
• On-Demand
• Free Online Course

NPTEL;  IISc Bangalore

Stochastic Structural Dynamics

Comprehensive exploration of probability, random variables, processes, and vibrations in structural dynamics, covering theory and applications in earthquake engineering and system failure analysis.

• YouTube
• 1 day 13 hours
• On-Demand
• Free Online Course

Statistics Foundations: Probability

2637 ratings at LinkedIn Learning

Learn to understand your data in beginner-friendly lessons, using probability. Topics include permutations, percentiles, how to use probability trees, and much more.

• LinkedIn Learning
• 1 hour 10 minutes
• On-Demand
• Free Trial Available

STAT 414: Introduction to Probability Theory

Learn probability theory fundamentals, applications, and problem-solving skills. Covers probability assignment, discrete and continuous distributions, joint distributions, and functions of random variables.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

Practicing Statistics Interview Questions in Python

Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Foundations of Probability in Python

Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

• DataCamp
• 5 hours
• On-Demand
• Free Trial Available

Machine Learning and AI Foundations: Causal Inference and Modeling

136 ratings at LinkedIn Learning

Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and how to use them.

• LinkedIn Learning
• 2 hours 51 minutes
• On-Demand
• Free Trial Available

What Are the Chances? Probability Made Clear

83 ratings at The Great Courses Plus

Explore the fundamental concepts and fascinating applications of probability in this fun and engaging course by an award-winning mathematician.

• The Great Courses Plus
• 6 hours 11 minutes
• On-Demand
• Free Trial Available

Learn the fundamentals of probability and how to quantify and visualize uncertainty.

• Codecademy
• 4 hours
• On-Demand
• Free Trial Available

Bayesian Data Analysis in Python

14 ratings at DataCamp

Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Rensselaer Polytechnic Institute

Engineering Probability Lectures, Fall 2018

Comprehensive lecture series on engineering probability, covering fundamental concepts, discrete and continuous random variables, estimation techniques, and hypothesis testing.

• YouTube
• 22 hours
• On-Demand
• Free Online Course

Aladdin Persson

Latent Dirichlet Allocation with Gibbs Sampling Explained

Comprehensive explanation of Latent Dirichlet Allocation (LDA) with Gibbs Sampling, covering topic modeling, posterior inference, and implementation details. Ideal for those interested in understanding this classic machine learning technique.

• YouTube
• 33 minutes
• On-Demand
• Free Online Course

Institute for Pure & Applied Mathematics (IPAM)

Conditional Probability Density Functional Theory - IPAM at UCLA

Explore conditional probability density functional theory for electronic structure calculations, addressing challenges in DFT and offering insights into ground-state correlations and warm dense matter simulations.

• YouTube
• 51 minutes
• On-Demand
• Free Online Course