Probability Courses and Certifications

Alan Turing Institute

A Connection between Probability, Physics and Neural Networks

Explore the intersection of probability, physics, and neural networks, focusing on constructing physics-consistent models using Gaussian processes and the central limit theorem.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Navigating Uncertainty with the Power of Data: Probability and Statistics Unraveled

Explore probability and statistics to harness data's power in navigating uncertainty. Learn problem-solving skills and gain broader exposure to undergraduate-level mathematics and statistics.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Simons Institute

Learning Probability Distributions: What Can and Can't Be Done

Explore statistical learning, focusing on guaranteed generalizations from finite samples and characterizing learnable distribution families. Gain insights into modern paradigms in generalization.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

INI Seminar Room 2

High-Probability Mixing Time Bound for Gibbs Sampling from Log-Smooth Strongly Log-Concave Distributions

Delve into advanced mathematical analysis of Gibbs sampling for log-smooth strongly log-concave distributions, exploring mixing time bounds and high-probability isoperimetric inequalities in n-dimensional space.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

INI Seminar Room 2

Axiomatization of Interventional Probability Distributions

Delve into the axiomatization of interventional probability distributions and their role in causal inference, exploring new theoretical frameworks beyond structural causal models.

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

NPTEL-NOC IITM

Probability Distributions and Climate Data Analysis

Explore probability distribution concepts and their practical applications in analyzing climate data patterns and statistical modeling.

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

ACM SIGPLAN

Separation Logics for Probability, Concurrency, and Security

Explore advanced separation logics for verifying concurrent probabilistic programs using Rocq and Iris frameworks to ensure security properties in critical infrastructure.

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

Graham Neubig

Probability Review and Code Examples for LLM Inference - Lecture 2

Dive into probability fundamentals, transformer implementation, and generation techniques for advanced NLP with practical code examples and meta-generation concepts.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Topos Institute

Descent in Probability Theory - The First Steps Downward

Explore categorical descent theory for probability, unifying measurability, disintegration and stochastic dominance while making coarse-graining procedures mathematically precise.

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

UofU Data Science

Markov Chains - From Probability Transition Matrix to Ergodic Properties and Algorithms - L24

Explore Markov chains through probability transition matrices, ergodic properties, and limiting states. Master 4 key algorithms including eigenvalue methods and random walks for data science.

• YouTube
• 1 hour 23 minutes
• Self-Paced
• Free Video

Institut des Hautes Etudes Scientifiques (IHES)

Łukasiewicz Logic and Tsallis Entropy Connected with Free Projections in Probability Theory

Explore advanced connections between Łukasiewicz logic, Tsallis entropy, and free projections in noncommutative probability theory through rigorous mathematical analysis.

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

jbstatistics

Basics of Probability

1 rating

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
• Self-Paced
• Free Video

Coursera

Using probability distributions for real world problems in R

Learn to apply probability distributions to real-world problems using R. Gain practical skills in using Binomial, Poisson, Normal, Exponential, and Chi-square distributions, with visualization techniques for data analysis.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Engineering Probability and Statistics Part 2

Explore statistical inference through hypothesis testing, confidence intervals, ANOVA, and sampling distributions to solve engineering problems with data-driven insights.

• Coursera
• 1 day 42 minutes
• Self-Paced
• Paid Course

LANTITE Numeracy

Prepare for success with LANTITE Numeracy. This self-paced course will develop your understanding of mathematical content, enable you to apply numeracy skills, and support you with activities to enhance your problem-solving and mathematical reasoning.

• OpenLearning
• 50 hours
• Self-Paced
• Paid Course