- Statistical Inference
- R Programming
- Statistical Modeling
- Probability Distribution
- Regression Analysis
- Simulations
- Data Analysis
- Statistical Analysis
- Markov Model
- Probability
- Bayesian Statistics
Bayesian Statistics: Techniques and Models
Completed by Ezequiel Leonardo Castaño
June 5, 2020
29 hours (approximately)
Ezequiel Leonardo Castaño'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
