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Bayesian Statistics Specialization

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Gain expertise in Bayesian statistics, Bayesian inference, and R programming through comprehensive courses, active learning, and a culminating real-world data analysis project.

Key AI Functions:Statistics,Data Science,Bayesian Statistics,Data Analysis,R Programming

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Description for Bayesian Statistics Specialization

Features of Course

Obtain a high level of proficiency in Bayesian statistics, Bayesian inference, and R programming by enrolling in comprehensive courses that cover techniques such as conjugate models, MCMC, mixture models, and dynamic linear modeling.

Learn and practice data analysis, forecasting, and statistical modeling using real-world data through active learning experiences such as lecture videos, computer demonstrations, readings, exercises, and discussion boards.

Acquire a comprehensive understanding of the Bayesian approach to statistics, including the philosophy and implementation of fundamental probability concepts and more complex topics such as time series analysis and dynamic linear modeling.

Compile a report on the methods and results of a complex data analysis in R, applying the knowledge and skills acquired in Bayesian statistics to real-world data in a culminating project.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by University of California, Santa Cruz

Duration: 2 months at 10 hours a week

Schedule: Flexible

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