- Level Professional
- المدة
- الطبع بواسطة University of California, Santa Cruz
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Offered by
عن
This Specialization is intended for all learners seeking to develop proficiency in statistics, Bayesian statistics, Bayesian inference, R programming, and much more. Through four complete courses (From Concept to Data Analysis; Techniques and Models; Mixture Models; Time Series Analysis) and a culminating project, you will cover Bayesian methods — such as conjugate models, MCMC, mixture models, and dynamic linear modeling — which will provide you with the skills necessary to perform analysis, engage in forecasting, and create statistical models using real-world data.Auto Summary
Explore Bayesian Statistics in this comprehensive course focused on updating inferences with accumulating evidence. Taught by Coursera, it delves into Bayes’ rule, model building, and practical applications using R. Ideal for those with prior knowledge in probability, inferential statistics, and regression, this professional-level course offers flexible subscription options. Perfect for learners aiming to master Bayesian methods in Big Data and Analytics.
Instructors
Herbert Lee
Instructors
Matthew Heiner
Instructors
Abel Rodriguez
Instructors
Raquel Prado
Instructors
Jizhou Kang