The STATA OMNIBUS: Regression and Modelling with STATA

Description

Throughout this course, you will learn everything you need to know about linear and non-linear regression, regression modeling, and Stata. By the end of this course, you will be able to understand and be confident in interpreting complex types of data using Stata.

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-Modelling-with-STATA

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

This course is designed for anyone who is interested in analyzing data using Stata. Students working with data and quants; business managers using quantitative evidence; or those in the fields of economics, politics, and social sciences will also find this course useful. Basic quantitative or statistical knowledge will be beneficial to effectively understand the concepts covered in the course.

This course is systematically designed to provide you with a compact and comprehensive knowledge on the basic principles of statistical methodology. With the help of animated graphics, interesting examples, and engaging activities, you will be able to grasp all the topics with ease.

Comfortably interpret and analyze regression output from Ordinary Least Squares * Learn tips and tricks around non-linear regression analysis * Get familiarized with general regression terminology and the assumptions behind Ordinary Least Squares

https://github.com/PacktPublishing/The-STATA-OMNIBUS-Regression-and-Modelling-with-STATA

Franz Buscha is a professor of economics at the University of Westminster, which he joined after completing his Ph.D. in economics at Lancaster University. He has been involved in numerous funded research projects from research councils and government departments. He has also contributed to a wide range of projects, including policy evaluation and bespoke econometric advice to UK government departments. Franz has published in leading journals and contributed to numerous policy reports. His research has even been covered by various media outlets. He is an experienced online educator and has published several online courses, including LinkedIn Learning. Franz also has a monthly radio program called Policy Matters on Share Radio.

1. Introduction

2. Linear Regression

3. Non-Linear Regression

4. Regression Modelling

5. Introduction to Stata

6. Practice Tests