- Gibbs Sampling
- Bayesian Statistics
- Bayesian Inference
- R Programming
Bayesian Statistics: Techniques and Models
Completed by Akira Sato
January 14, 2019
29 hours (approximately)
Akira Sato's account is verified. Coursera certifies their successful completion of Bayesian Statistics: Techniques and Models
What you will learn
Efficiently and effectively communicate the results of data analysis.
Use statistical modeling results to draw scientific conclusions.
Extend basic statistical models to account for correlated observations using hierarchical models.