Professional Certificate in Bayesian Statistics: Strategic Outcomes
-- ViewingNowThe Professional Certificate in Bayesian Statistics: Strategic Outcomes is a comprehensive course designed to equip learners with the essential skills needed to excel in the field of Bayesian statistics. This certificate course highlights the importance of Bayesian methods, which allow data scientists and analysts to update their models as new data becomes available, leading to more accurate and informed decision-making.
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⢠Basic Bayesian Statistics: Introduction to Bayesian theory, probability, and Bayes' theorem.
⢠Probabilistic Graphical Models: Directed acyclic graphs, plate notation, and model parameterization.
⢠Bayesian Inference: Conjugate and non-conjugate priors, Markov Chain Monte Carlo (MCMC), and Gibbs sampling.
⢠Hierarchical Modeling: Hierarchical structures, partial pooling, and empirical Bayes methods.
⢠Model Comparison and Selection: Deviance Information Criterion (DIC), Watanabe-Akaike Information Criterion (WAIC), and cross-validation.
⢠Generalized Linear Models: Exponential family distributions, link functions, and model diagnostics.
⢠Bayesian Nonparametrics: Dirichlet process mixtures, Indian buffet process, and stick-breaking priors.
⢠Causal Inference: Potential outcomes, propensity score matching, and instrumental variables.
⢠Time Series Analysis: Autoregressive, moving average, and state-space models.
⢠Machine Learning and Big Data: Bayesian optimization, deep learning, and scalable inference algorithms.
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