Bayesian Inference

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Bayesian Statistics (Coursera) Coursera
Duke University

Bayesian Statistics (Coursera)

Statistics & Data Analysis Data Science

Embark on an enlightening journey into the world of Bayesian Statistics with this engaging Coursera course. Master the art of updating your inferences based on accumulating evidence, learning to transform prior probabilities into insightful posterior probabilities. Delve into the theory and perspective that underpin the Bayesian approach, equipping you with a powerful toolset for data analysis.

Jun 1st 2026
5-12 Weeks
Statistics Data Analysis R Programming
Details
Bayesian Statistics: From Concept to Data Analysis (Coursera) Coursera
University of California, Santa Cruz

Bayesian Statistics: From Concept to Data Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Bayesian Statistics with our introductory course. Starting from fundamental probability concepts, we guide you through understanding the Bayesian approach and its practical application in data analysis. Compare it to the traditional Frequentist method and uncover the unique benefits of Bayesian statistics.

May 25th 2026
4 Weeks
Statistics Probability Data Analysis
Details
Bayesian Inference with MCMC (Coursera) Coursera
Databricks

Bayesian Inference with MCMC (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Bayesian statistics with 'Bayesian Inference with MCMC' on Coursera. This course is designed to equip you with essential skills in Markov Chain Monte Carlo (MCMC) methods for performing complex Bayesian analyses. Starting from the basics, you'll learn how to apply these algorithms effectively using Python and Jupyter notebooks, focusing on PyMC3 for practical Bayesian modeling.

Jan 13th 2025
3 Weeks
MCMC Coursera Plus Bayesian Inference
Details
Introduction to PyMC3 for Bayesian Modeling and Inference (Coursera) Coursera
Databricks

Introduction to PyMC3 for Bayesian Modeling and Inference (Coursera)

Data Science

Dive into the world of Bayesian modeling and inference with our expert-led Introduction to PyMC3 course. Learn how to harness the power of PyMC3, a Python library designed for probabilistic programming, to tackle complex statistical problems effectively. This course is perfect for data scientists, statisticians, and anyone interested in expanding their knowledge in scalable Bayesian analysis.

Jan 13th 2025
4 Weeks
Monte Carlo Method Python Programming Coursera Plus
Details
Introduction to Scientific Machine Learning (edX) EdX
Purdue University,PurdueX

Introduction to Scientific Machine Learning (edX)

Engineering

Dive into the world of scientific machine learning with this comprehensive online course designed for beginners. Gain a solid foundation in data analytics and explore practical applications in engineering through hands-on examples. From understanding uncertainty with probability theory to mastering complex models like deep neural networks, this course equips you with the skills needed to tackle real-world problems.

Aug 21st 2023
13-24 Weeks
Machine Learning Neural Networks Linear Regression
Details
Applied Bayesian for Analytics (edX) EdX
Indian Institute of Management, Bangalore,IIMBx

Applied Bayesian for Analytics (edX)

Statistics & Data Analysis

Dive into the world of Bayesian Statistics with our Applied Bayesian for Analytics course. This comprehensive program will guide you through constructing, fitting, estimating, and computing Bayesian statistical models using OpenBUGS, a freely available software. Whether you're a budding data scientist or looking to expand your analytical toolkit, this course offers an in-depth exploration of key concepts such as parametrizations, priors, likelihoods, Monte Carlo methods, and multilevel modeling.

Self Paced
Self-Paced
Statistics Monte Carlo Method Analytics
Details
Introduction to Bayesian Statistics Using R (edX) EdX
University of Canterbury,UCx

Introduction to Bayesian Statistics Using R (edX)

Statistics & Data Analysis Data Science

Embark on a foundational exploration of Bayesian statistics with this introductory course designed for beginners. Master the basics of Bayesian Data Analysis and practice solving practical problems using R, setting the stage for advanced studies in data analysis across various fields such as epidemiology, ecology, economics, and political sciences.

Self Paced
Self-Paced
Data Mining Data Analysis ANOVA
Details
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