Data Science: Inference and Modeling

Description

In this course, you will learn:

• The principles required to construct population estimates and margins of error, as well as parameters, estimates, and standard errors in order to generate data predictions.
• How to combine data from many sources using models.
• The fundamentals of Bayesian statistics and predictive modeling are covered.