Markov Chain Monte Carlo Courses and Certifications

Probabilistic Graphical Models 2: Inference

489 ratings at Coursera

Explore probabilistic inference in graphical models, covering exact and approximate algorithms for conditional probability queries and MAP inference, with hands-on programming assignments.

• Coursera
• 38 hours
• On-Demand
• Paid Course

Bayesian Statistical Concepts and Methods

Master Bayesian methods for data analysis using posterior distributions, MCMC algorithms, and hierarchical models with R and Stan platform implementation.

• Coursera
• 5 hours 30 minutes
• On-Demand
• Paid Course

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
• On-Demand
• Paid Course

Mathematical understanding of uncertainty

Explore probability theory, universal principles, and Markov chains to understand and harness uncertainty in real-world applications, from statistics to deep learning algorithms.

• edX
• 12 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Bayesian Computational Statistics

Rigorous introduction to Bayesian inference, covering theory, computation, and practical implementation using statistical software. Explores advanced topics and applications in data analysis.

• Coursera
• 3 days 16 hours 39 minutes
• On-Demand
• Paid Course

Computational Data Science in Physics III

Dive into numerical simulations for physics research, from differential equations to lattice models, culminating in applications relevant to contemporary lattice QCD.

• MITx Online
• 7 weeks, 10-15 hours a week
• On-Demand
• Free Online Course

Validation of Safety Critical Systems

Master mathematical validation techniques for autonomous systems using sampling methods, formal verification, and reachability analysis in safety-critical applications.

• YouTube
• 18 hours 50 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Quantum Markov Chain Monte Carlo Algorithm - IPAM at UCLA

Explore quantum Markov Chain Monte Carlo algorithms for sampling Gibbs states, featuring a novel continuous-time quantum Markov chain with efficient simulation and practical applications in lattice Hamiltonians.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking 2022

Master Bayesian inference, multilevel modeling, and causal reasoning through practical statistical methods that avoid common pitfalls in data analysis and research design.

• YouTube
• 1 day 46 minutes
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking Fall 2017

Master Bayesian statistical methods and causal inference through comprehensive lectures accompanying the acclaimed "Statistical Rethinking" book by Richard McElreath.

• YouTube
• 19 hours 46 minutes
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking - Winter 2015

Discover Bayesian statistical methods and causal inference through comprehensive lectures that challenge traditional statistical thinking and build practical modeling skills.

• YouTube
• 1 day 2 hours 27 minutes
• On-Demand
• Free Video

University of Tübingen

Probabilistic Machine Learning

Comprehensive lecture series on probabilistic machine learning, covering Bayesian paradigms, statistical concepts, and deep learning connections for master's-level computer science students.

• YouTube
• 1 day 16 hours
• On-Demand
• Free Online Course

NPTEL-NOC IITM

Inverse Methods in Heat Transfer

Discover advanced techniques for solving inverse heat transfer problems using regularization, Bayesian inference, and physics-informed neural networks.

• YouTube
• 1 day 6 hours 3 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Quantum Algorithms for Scientific Computation Workshop 2023

Explore cutting-edge quantum algorithms for scientific computation, covering linear algebra, differential equations, and quantum simulation techniques from leading experts.

• YouTube
• 20 hours 58 minutes
• On-Demand
• Free Video

Conf42

Probabilistic Programming in Python - Conf42 Python 2024

1 review

Explore Bayesian statistics, probabilistic modeling, and MCMC in Python. Learn key concepts and practical applications through demonstrations and workflow explanations.

• YouTube
• 14 minutes
• On-Demand
• Free Video