- Bayesian Statistics
- Probability Distribution
- Markov Model
- Statistical Methods
- Regression Analysis
- Model Evaluation
- Statistical Modeling
- Data Analysis
- Statistical Analysis
- R Programming
Bayesian Statistics: Techniques and Models
Completed by Alexandre GARCIA
June 1, 2021
29 hours (approximately)
Alexandre GARCIA'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
