- R Programming
- Statistical Analysis
- Data Analysis
- Statistical Modeling
- Model Evaluation
- Regression Analysis
- Bayesian Statistics
- Probability Distribution
- Markov Model
- Statistical Methods
Bayesian Statistics: Techniques and Models
Completed by József Soltész
July 31, 2021
29 hours (approximately)
József Soltész'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
