- Model Evaluation
- R Programming
- Data Analysis
- Statistical Modeling
- Bayesian Statistics
- Regression Analysis
- Markov Model
- Probability Distribution
- Statistical Analysis
- Statistical Methods
Bayesian Statistics: Techniques and Models
Completed by Walker Moskop
August 28, 2020
29 hours (approximately)
Walker Moskop'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
