Data Science: Inference and Modeling
About this course
Learn inference and modeling: two of the most widely used statistical tools in data analysis.
What you’ll learn
- The concepts necessary to define estimates and margins of errors of populations, parameters, estimates and standard errors in order to make predictions about data
- How to use models to aggregate data from different sources
- The very basics of Bayesian statistics and predictive modeling