Certificate in Bayesian Data Analysis for Business

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The 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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AboutThisCourse

In today's data-centric world, there is an increasing demand for professionals who can analyze complex data sets and make informed business decisions. This course equips learners with the skills to meet this demand, providing a solid foundation in Bayesian data analysis and its applications in business. By the end of this course, learners will have gained a deep understanding of Bayesian statistics, probability theory, and statistical modeling. They will be able to apply these concepts to real-world business problems, using industry-standard tools and techniques. This course is ideal for business analysts, data scientists, statisticians, and other professionals seeking to advance their careers in data analysis and business intelligence.

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CourseDetails

• 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.

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
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StandardMode GBP £90
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FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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CERTIFICATE IN BAYESIAN DATA ANALYSIS FOR BUSINESS
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London School of International Business (LSIB)
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05 May 2025
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