Introduction to Stata 15

Learning and applying new statistical techniques can often be a daunting experience. Software like Stata, an integrated statistical software package, can help. Stata is agile and easy to use, automate, and extend, helping you perform data manipulation, visualization, and modeling for extremely large data sets. In this course, Franz Buscha provides a comprehensive introduction to Stata and its various uses in modern data analysis. Review the various options that Stata gives you in manipulating, exploring, visualizing, and modelling complex types of data. Explore the practical application—and interpretation—of commonly used statistical techniques such as distributional analysis and regression on real-life data. Each lesson demonstrate the strengths of the application and gives you a firm foundation for performing your own quantitative analysis.

Contents:

• Introduction
• 1. Getting Started
• 2. Exploring Data
• 3. Manipulating Data
• 4. Graphing in Stata
• 5. Basic Inferential Statistics
• 6. Ordinary Least Squares (OLS) Regression
• 7. Binary Outcome Models (Logit and Probit)
• 8. Categorical Choice Models
• Conclusion