- 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 Daniel Pleus
March 4, 2022
29 hours (approximately)
Daniel Pleus'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
