Data, Economic Modeling, and Forecasting with Stata
Offered By: LinkedIn Learning
Course Description
Overview
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.
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
Related Courses
Passion Driven StatisticsWesleyan University via Coursera Machine Learning With Big Data
University of California, San Diego via Coursera Big Data - Capstone Project
University of California, San Diego via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera Анализ данных: финальный проект
Moscow Institute of Physics and Technology via Coursera