- Data Analysis
- Probability
- Markov Model
- Regression Analysis
- Probability Distribution
- Statistical Modeling
- Bayesian Statistics
- Statistical Inference
- Statistical Analysis
- Simulations
- R Programming
Bayesian Statistics: Techniques and Models
Completed by Yu Wang
November 2, 2020
29 hours (approximately)
Yu Wang'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
