Bayesian Statistics

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Introduction to Bayesian Data Analysis (openHPI) OpenHPI
Hasso-Plattner-Institut

Introduction to Bayesian Data Analysis (openHPI)

Embark on a journey into the world of Bayesian data analysis with our free course designed for those familiar with R programming language. This course will guide you through basic concepts such as random variables, probability distributions, and Bayes' theorem, applying these principles to simple data analysis problems. You'll delve into regression modeling using the brms package and gain a brief introduction to hierarchical models. Ideal for anyone who has previously engaged in frequentist data analysis.

Jan 25th 2023
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
Sensor Fusion and Non-linear Filtering for Automotive Systems (edX) EdX
Chalmers University of Technology,ChalmersX

Sensor Fusion and Non-linear Filtering for Automotive Systems (edX)

Discover the core principles of sensor fusion and non-linear filtering as applied to advanced automotive technologies. This course provides a comprehensive introduction to algorithms crucial for estimating parameters using multiple sensors, enhancing vehicle safety and performance.

Self Paced
Self-Paced
Applied Bayesian for Analytics (edX) EdX
Indian Institute of Management, Bangalore,IIMBx

Applied Bayesian for Analytics (edX)

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
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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