Bayesian Statistics

University of California, Santa Cruz via Coursera Specialization

Coursera Specialization based on 368 ratings

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Overview

The course “Bayesian Statistics” introduces learners to the principles and applications of Bayesian inference, a powerful statistical approach that updates the probability of a hypothesis as more evidence or information becomes available. This method contrasts with traditional frequentist statistics by incorporating prior knowledge into the analysis. Participants will explore foundational concepts such as Bayes’ theorem, prior and posterior distributions, likelihood functions, and conjugate priors. The course covers both theoretical aspects and practical implementation, including computational techniques like Markov Chain Monte...

Syllabus

Course 1: Bayesian Statistics: From Concept to Data Analysis- Offered by University of California, Santa Cruz. This course introduces the Bayesian approach to statistics, starting with the concept of ... Enroll for free.Course 2: Bayesian Statistics: Techniques and Models- Offered by University of California, Santa Cruz. This is the second of a two-course sequence introducing the fundamentals of Bayesian ... Enroll for free.Course 3: Bayesian Statistics: Mixture Models- Offered by University of California, Santa Cruz. Bayesian Statistics: Mixture Models introduces you to an important class of statistical ... Enroll for free.Course 4: Bayesian Statistics: Time Series Analysis- Offered by University of California, Santa Cruz. This course for practicing and aspiring data scientists and statisticians. It is the fourth ... Enroll for free.Course 5: Bayesian Statistics: Capstone Project- Offered by University of California, Santa Cruz. This is the capstone project for UC Santa Cruz's Bayesian Statistics Specialization. It is ... Enroll for free.