- R Programming
- Statistical Modeling
- Statistical Analysis
- Statistical Inference
- Markov Model
- Probability Distribution
- Simulations
- Data Analysis
- Regression Analysis
- Bayesian Statistics
- Probability
Bayesian Statistics: Techniques and Models
Completed by Andrey Pogudin
July 31, 2024
29 hours (approximately)
Andrey Pogudin'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
