Undergraduate Certificate in Bayesian Statistics with R
-- ViewingNowThe Undergraduate Certificate in Bayesian Statistics with R is a comprehensive course designed to equip learners with the essential skills required in the data-driven industry. This program focuses on teaching Bayesian statistics, a modern approach to statistics that is increasingly being used by data professionals worldwide.
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โข Basic Statistical Concepts with R: data exploration, data visualization, probability distributions, and summary statistics.
โข Introduction to Bayesian Inference: prior and posterior distributions, likelihood functions, and Bayes' theorem.
โข Bayesian Modeling with R: using Markov Chain Monte Carlo (MCMC), Gibbs sampling, and Stan.
โข Model Checking and Comparison: graphical and numerical methods for model assessment, deviance information criterion (DIC), and posterior predictive checks.
โข Linear Regression in Bayesian Framework: simple and multiple linear regression models with R.
โข Generalized Linear Models: Bayesian logistic regression, Poisson regression, and other GLMs.
โข Hierarchical Modeling: mixed-effects models, random effects, and multilevel models.
โข Time Series Analysis with Bayesian Methods: ARIMA, state space models, and Kalman filter.
โข Bayesian Networks and Causal Inference: introduction to DAGs, Bayesian networks, and causal inference with R.
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