- Probability Distribution
- Simulations
- R Programming
- Regression Analysis
- Markov Model
- Bayesian Statistics
- Data Analysis
- Statistical Inference
- Statistical Modeling
- Probability
- Statistical Analysis
Bayesian Statistics: Techniques and Models
Completed by IZURU YONEZAWA
March 14, 2023
29 hours (approximately)
IZURU YONEZAWA'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.
Skills you will gain
