- Statistical Methods
- Probability Distribution
- Model Evaluation
- R Programming
- Regression Analysis
- Data Analysis
- Statistical Modeling
- Statistical Analysis
- Markov Model
- Bayesian Statistics
Bayesian Statistics: Techniques and Models
Completed by Edoardo Alberti
July 27, 2017
29 hours (approximately)
Edoardo Alberti'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
