Certificate in Bayesian Data Analysis for Business
-- viewing nowThe Certificate in Bayesian Data Analysis for Business is a comprehensive course that empowers learners with the essential skills to apply Bayesian data analysis in business decision-making. This program is crucial for professionals seeking to leverage data-driven insights to drive business growth and success.
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Course Details
• Introduction to Bayesian Data Analysis – Basics of Bayesian theory, probability, and Bayes' theorem.
• Probabilistic Graphical Models – Directed and undirected graphs, plate notation, and Bayesian networks.
• Conjugate Priors and Posteriors – Conjugate distributions, normal-normal model, and beta-binomial model.
• Markov Chain Monte Carlo (MCMC) – Metropolis-Hastings, Gibbs sampling, and the No-U-Turn Sampler (NUTS).
• Hamiltonian Monte Carlo (HMC) – Hamiltonian dynamics, leapfrog integration, and the Stan modeling language.
• Model Checking and Diagnostics – Posterior predictive checks, Bayesian p-values, and leave-one-out cross-validation.
• Model Comparison and Selection – Bayes factors, marginal likelihood, and information criteria.
• Bayesian Regression Analysis – Linear regression, logistic regression, and generalized linear models.
• Time Series Analysis – Autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models.
• Survival Analysis – Proportional hazards models, Kaplan-Meier estimator, and Cox regression.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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