Conditional Probability Courses and Certifications

AnalystPrep

Probability Trees and Conditional Expectations for Investment Analysis

Master probability trees, conditional expectations, and Bayes' formula for investment analysis. Calculate expected values and apply statistical concepts to solve complex investment problems.

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

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
• Self-Paced
• Free Video

ACM SIGPLAN

Lilac: A Modal Separation Logic for Conditional Probability

Explore Lilac, a novel separation logic for probabilistic programs, introducing a modality for conditional probability reasoning and validating its effectiveness through formal verification examples.

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

Gautam Varde

Two-Dimensional Conditional Probability Distribution - Advanced Mathematics

Explore 2D conditional probability distribution with numerical examples, essential for engineering and science students in probability and statistics.

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

Centre for Networked Intelligence, IISc

Independence in Probability - Law of Total Probability and Conditional Independence

Explore independence in probability through the Law of Total Probability, conditional probability, and conditional independence with practical examples and proofs.

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

An Intuitive Introduction to Probability

1884 ratings at Coursera

Intuitive introduction to probability theory, covering key concepts and practical applications. Gain tools to handle uncertainty in daily life through engaging modules and exercises.

• Coursera
• 1 day 5 hours 34 minutes
• Self-Paced
• Paid Course

Introduction to Probability and Statistics for Machine Learning

Master essential probability and statistics concepts crucial for machine learning, from basic probability and descriptive statistics to hypothesis testing and linear regression analysis.

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

Foundations of Probability and Random Variables

Master fundamental probability concepts and random variable analysis while gaining practical R programming skills for data science and statistical modeling applications.

• Coursera
• 2 days 1 hour 8 minutes
• Self-Paced
• Paid Course

Discrete Math for Computer Science - Counting & Probability

Master combinatorial counting and probability theory to analyze algorithms, model uncertainty, and solve complex computational problems with systematic mathematical precision.

• Coursera
• 14 hours 21 minutes
• Self-Paced
• Paid Course

Discrete-Time Markov Chains and Monte Carlo Methods

14 ratings at Coursera

Explore discrete-time Markov chains, Monte Carlo methods, and their applications in AI, reinforcement learning, and stochastic simulation with mathematical rigor.

• Coursera
• 1 day 8 hours 32 minutes
• 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

EDUCBA

Bayesian Statistics: Excel to Python A/B Testing

27 ratings at Coursera

Master Bayesian statistics from Excel basics to Python A/B testing, covering MCMC sampling, hierarchical models, and healthcare decision-making with hands-on probabilistic modeling.

• Coursera
• 6 hours 24 minutes
• Self-Paced
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Probability and Statistics

10 ratings at Coursera

Dive into statistical concepts, probability theory, and data analysis techniques to enhance decision-making skills and master real-world applications in various fields.

• Coursera
• 1 day 5 hours
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course

CSET Math Subtest II (212): Practice & Study Guide

Comprehensive preparation for CSET Mathematics Subtest 2, covering geometry, probability, and statistics through video lessons and quizzes to help you excel on the exam.

• Study.com
• 12 hours
• Self-Paced
• Paid Course