Bayesian Statistics

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Improving your statistical inferences (Coursera) Coursera
Eindhoven University of Technology

Improving your statistical inferences (Coursera)

Unlock the secrets to making better statistical inferences from empirical research with our expert-led online course. Gain a deep understanding of key concepts like p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios. Learn how to design experiments that effectively control false positive rates and determine the right sample size for your study to achieve high statistical power.

Aug 10th 2026
5-12 Weeks
Bayesian Statistics: Mixture Models (Coursera) Coursera
University of California, Santa Cruz

Bayesian Statistics: Mixture Models (Coursera)

Dive into the world of Bayesian Statistics with 'Bayesian Statistics: Mixture Models' on Coursera. This comprehensive course is designed to equip you with an in-depth understanding of mixture models, a powerful tool for analyzing complex data structures. Through engaging video lectures, interactive quizzes, and hands-on assignments, you'll explore real-world applications and develop the skills needed to tackle sophisticated statistical problems.

Jul 27th 2026
5-12 Weeks
Bayesian Statistics: Time Series Analysis (Coursera) Coursera
University of California, Santa Cruz

Bayesian Statistics: Time Series Analysis (Coursera)

Dive into the world of Bayesian statistics with our specialized course on Time Series Analysis. This is the fourth in a sequence designed to equip you with a deep understanding of Bayesian methods, focusing specifically on analyzing patterns over time. Whether you're a seasoned data scientist or just starting out, this course will enhance your ability to model and forecast temporal data effectively.

Jul 27th 2026
5-12 Weeks
Bayesian Statistics (Coursera) Coursera
Duke University

Bayesian Statistics (Coursera)

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.

Jul 20th 2026
5-12 Weeks
Statistical Inference and Modeling for High-throughput Experiments (edX) EdX
HarvardX,Harvard University

Statistical Inference and Modeling for High-throughput Experiments (edX)

Dive into Statistical Inference and Modeling for High-throughput Experiments to gain a deep understanding of statistical techniques applied to large-scale biological datasets. This course covers essential topics such as error rate controlling procedures, false discovery rates, q-values, and parametric modeling with applications in high-throughput data analysis.

Self Paced
Self-Paced
Introduction to Bayesian Statistics Using R (edX) EdX
University of Canterbury,UCx

Introduction to Bayesian Statistics Using R (edX)

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
Advanced Bayesian Statistics Using R (edX) EdX
University of Canterbury,UCx

Advanced Bayesian Statistics Using R (edX)

Take your understanding of Bayesian inference to the next level with our Advanced Bayesian Data Analysis Using R course. This professional program builds on foundational knowledge to explore complex topics such as modeling latent variables, Bayesian model averaging, generalised linear models, and Markov Chain Monte Carlo (MCMC) methods. Utilize R for practical application and deepen your expertise in statistical analysis.

Self Paced
Self-Paced
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