In this course, you will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. You will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations.

This course will introduce and explore various statistical modeling techniques, including linear regression, logistic regression, generalized linear models, hierarchical and mixed effects (or multilevel) models, and Bayesian inference techniques.

SKILLS YOU WILL GAIN

• Bayesian Statistics
• Python Programming
• Statistical Model
• statistical regression