Learning and applying new statistical techniques can often be a daunting experience. This is especially true when one engages with complex datasets that do not allow for easy click-and-go analysis but require a deeper level of understanding of analytical methodologies.
This course will focus on providing an overview of data analytics using Stata and will prepare you to handle real-life complex datasets with ease.
In this course, you will receive a comprehensive introduction to Stata and its various uses in modern data analysis. You will learn to understand the many options that Stata gives you in manipulating, exploring, visualizing, and modeling complex types of data. This course will focus on the concept of linear regression and non-linear regression, specifically Ordinary Least Squares, Logit and Probit Regression.
The agenda of the course will consistently be on creating a “good practice” and emphasizing the practical application—and interpretation—of commonly used statistical techniques without resorting to deep statistical theory or equations.
By the end of this course, you will have developed the skills and ability to engage with Stata for handling complex data analytics.
All the code files and resources for this course can be found at https://github.com/PacktPublishing/The-STATA-OMNIBUS-Regression-and-Mod…
Learn and understand how Logit and Probit models work
Understand the data visualization process in Stata
Learn about regression modeling in Stata
Learn to perform categorical data analysis
Learn to perform epidemiology and power analysis
Learn about data manipulation in Stata