Data Science

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

Description for Bayesian Statistics Specialization

  • 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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