About this Course

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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Intermediate Level
Approx. 29 hours to complete
English

Skills you will gain

  • Gibbs Sampling
  • Bayesian Statistics
  • Bayesian Inference
  • R Programming
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level
Approx. 29 hours to complete
English

Offered by

Placeholder

University of California, Santa Cruz

Syllabus - What you will learn from this course

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Week1
Week 1
4 hours to complete

Statistical modeling and Monte Carlo estimation

4 hours to complete
11 videos (Total 99 min), 4 readings, 4 quizzes
Week2
Week 2
5 hours to complete

Markov chain Monte Carlo (MCMC)

5 hours to complete
11 videos (Total 129 min), 7 readings, 4 quizzes
Week3
Week 3
6 hours to complete

Common statistical models

6 hours to complete
11 videos (Total 131 min), 5 readings, 5 quizzes
Week4
Week 4
5 hours to complete

Count data and hierarchical modeling

5 hours to complete
10 videos (Total 106 min), 7 readings, 4 quizzes

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About the Bayesian Statistics Specialization

Bayesian Statistics

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