The STATA OMNIBUS: Regression and Modelling with STATA
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Business,Business Analytics & Intelligence,Regression Analysis
Lectures -137
Duration -14 hours
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Course Description
Learning and applying new statistical techniques can be a daunting experience, especially when working 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 introduce you to data analytics using Stata and prepare you to handle real-life complex datasets with ease. Starting with an overview of the learning objectives, it takes you straight into the concepts of linear regression, non-linear regression, and regression modeling. Once you’ve got a comprehensive introduction to Stata and its various uses in modern data analysis, you’ll discover how you can use Stata extensively for manipulating, exploring, visualizing, and modeling complex types of data. As you advance, you’ll also learn how to use the Analysis of Variance (ANOVA) test to find out significant differences between different groups. You’ll then explore the functionality and application of ordinary least squares (OLS) and study how logit and probit models work. Finally, you’ll cover some simulation techniques and features of the count data model and get to grips with survival and panel data analysis.
By the end of this course, you’ll have developed the skills and ability to engage with Stata for handling complex data analytics.
All the code files and resources for this course are available at https://github.com/PacktPublishing/The-STATA-OMNIBUS-Regression-and-Modelling-with-STATA
Goals
- Distinguish between linear and non-linear regression analysis
- Model non-linear relationships in linear regression
- Perform regression modeling and data visualization in Stata
- Interpret and analyze regression output from ordinary least squares (OLS)
- Understand the basic statistical intuition behind non-linear regression
- Work with dummy variables in logit and probit regression
Prerequisites
There are no requirements except curiosity
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Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Introduction 02:58 02:58
Linear Regression
26 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Non-Linear Regression
22 Lectures
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Regression Modelling
14 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to Stata – Getting Started
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to Stata – Exploring Data
7 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to Stata – Manipulating Data
13 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to Stata – Visualizing Data
13 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to Stata: Testing Means, Correlations, and Analysis of Variance (ANOVA)
4 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to Stata: Linear Regression
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to Stata: Categorical Choice Model
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to Stata: Random Numbers and Simulation
4 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to Stata: Count Data Models
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to Stata: Survival Analysis
7 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Introduction to Stata: Panel Data
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
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Packt Publishing
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