Data analysis, modeling, and forecasting are increasingly important for many jobs. This course shows how to use Stata to easily learn data, modeling, and forecasting basics.
Overview
Syllabus
Introduction
- Be prepared for the data jobs of the future
- Purpose of modeling in Stata
- The value of good data and good big data
- Statistics and econometrics
- Univariate and multivariate linear regression models
- Correlation is not causation
- Overly tight model fit
- Models are always wrong
- Overview and enter data
- Data preparation and selection
- Inputting data
- Mean and summary statistics
- Standard deviation and SE
- Correlation
- Key output validity measures
- Univariate model
- Multivariate model
- Appling univariate model to forecast
- Saving and files
- Advanced topics
- Next steps
Taught by
Jason Schenker
