- Regression Analysis
- Bayesian Statistics
- Statistical Methods
- R Programming
- Probability Distribution
- Data Analysis
- Markov Model
- Statistical Modeling
- Statistical Analysis
- Model Evaluation
Bayesian Statistics: Techniques and Models
Completed by SHANKAR KALEESWARAN MANI
July 20, 2020
29 hours (approximately)
SHANKAR KALEESWARAN MANI'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
