Bayesian Inference Courses and Certifications

Fields Institute

Practical Parameter Identifiability and Handling of Censored Data with Bayesian Inference in Models of Tumour Growth

Explore Bayesian inference techniques for tumor growth modeling, focusing on parameter identification and censored data analysis in mathematical oncology research.

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

ACM SIGPLAN

Bayesian Inference Using Probabilistic Programming

Explore Bayesian inference techniques and probabilistic programming concepts with expert insights from Hong Ge at LAFI'24.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Topos Institute

Partial Markov Categories - Theory and Applications in Bayesian Inference

Delve into the algebraic foundations of Bayesian inference through string diagrams, exploring partial Markov categories and their applications in probability theory and decision-making problems.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Inside Livermore Lab

Real-Time Bayesian Inference at Extreme Scale

Discover real-time Bayesian inference for tsunami early warning using acoustic sensors and 3D wave equations, achieving billion-fold speedup through novel parallel algorithms on GPU systems.

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

Hausdorff Center for Mathematics

MCMC for Bayesian inference of the non-conducting region in intra-atrial reentrant tachycardia

Explore advanced MCMC methods for Bayesian inference in cardiac electrophysiology, focusing on estimating non-conducting regions in atrial tachycardia using personalized models.

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

Career Certificate

Bayesian Statistics

3523 ratings at Coursera

Comprehensive exploration of Bayesian statistics, covering concepts, techniques, models, and applications. Develop proficiency in statistical analysis, R programming, and real-world data modeling.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Introduction to Uncertainty Quantification

10 ratings at Coursera

Master the fundamentals of Uncertainty Quantification through probability theory, uncertainty propagation, surrogate modeling, reliability analysis, and Bayesian methods for mathematical and engineering systems.

• Coursera
• 1 day 5 hours 57 minutes
• Self-Paced
• Paid Course

Bayesian Networks 1 - Inference - Stanford CS221: AI

Explore Bayesian networks for AI, covering probabilistic inference, modeling, and applications in object tracking, language modeling, and document classification.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Online Course

Recommender Systems and Deep Learning in Python

6243 ratings at Udemy

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques

• Udemy
• 12 hours 49 minutes
• Self-Paced
• Paid Course

Introduction to Bayesian Statistics for Data Science

Explore the theoretical foundations of Bayesian statistics and apply them to data science problems, covering probability theory, Bayes' theorem, prior distributions, practical applications, and ethical considerations.

• Coursera
• 1 day 13 hours 29 minutes
• Self-Paced
• Paid Course

Time, Change, and Decisions for Marketing

Revolutionize marketing strategies with advanced analytics, optimizing decision-making through Bayesian networks, time series forecasting, and causal modeling for data-driven, adaptive campaigns.

• Coursera
• 22 hours 53 minutes
• Self-Paced
• Paid Course

Generative AI for Healthcare Students and Professionals

19 ratings at Coursera

Explore generative AI's impact on healthcare through case studies, ethics, and future perspectives, equipping students and professionals with balanced, practical knowledge.

• Coursera
• 13 hours 36 minutes
• Self-Paced
• Paid Course

Probability for Statistics and Data Science

1235 ratings at Udemy

Probability for improved business decisions: Introduction, Combinatorics, Bayesian Inference, Distributions

• Udemy
• 3 hours 40 minutes
• Self-Paced
• Paid Course

Bayesian Statistics: Time Series Analysis

18 ratings at Coursera

Explore time series analysis through Bayesian statistics, covering AR processes and Normal Dynamic Linear Models. Apply concepts using R for practical data analysis and forecasting.

• Coursera
• 19 hours 29 minutes
• Self-Paced
• Paid Course

EDUCBA

Data Science with Python: Analyze & Visualize

15 ratings at Coursera

Master Python programming for data analysis, visualization, and machine learning with hands-on projects covering statistics, regression, and real-world applications.

• Coursera
• 8 hours 59 minutes
• Self-Paced
• Paid Course