Explanation
STATA OMNIBUS: Regression and Modeling with STATA Learn everything you need to know about linear regression, nonlinear regression, regression modeling and STATA in one package. Learning and using new statistical techniques can often be a challenging experience. This course will focus on the concept of direct regression and indirect regression. Especially Ordinary Least Squares, Logit and Probit Regression. This course will explain what regression is and how linear and indirect regression work. It will examine how Ordinary Least Squares (OLS) and how Logit and Probit models work. It will do this without complex equations or math. The focus of this course is on the application and interpretation of regression. Learning in this course is supported by visual illustrations that illustrate specific statistical concepts. No previous knowledge is necessary, and the course is designed for anyone who needs to get involved in quantitative analysis. Stata computer software will be used to demonstrate practical examples. Understanding how regression analysis works is half the battle. There are many pitfalls to avoid and tricks to learn when designing a data recovery site. Often, it takes years of experience to accumulate these.
In these sessions, we will examine some of the most common design issues. What is the theory behind it, what do they do and how can we deal with it? Each topic has a practical presentation in Stata. Topics include: Learning and using new statistical techniques can be a daunting experience. This is especially true when one is dealing with “real life” data that does not allow for “click-and-go” analysis, but requires a deep level of understanding of programming coding, manipulation – data manipulation, interpretation of output, modeling of output and selection of the right analytical method. In this course you will get a thorough introduction to Stata and its various uses for modern data analysis. You will learn to understand the many options that Stata provides for organizing, exploring, visualizing and modeling complex data types. By the end of the course you will feel confident in your ability to work with Stata and manage complex data analyses. The focus of this course will always be on creating “good practice” and emphasizing the practical application – and interpretation – of commonly used statistical techniques without the use of a deep theory of statistics or equations.
What will you learn?
- The theory behind linear and nonlinear regression analysis.
- For ease of reference terminology.
- Assumptions and criteria for Ordinary Least Squares (OLS) regression.
- To comfortably interpret and analyze the regression output of Common Squares.
- To learn and understand how Logit and Probit models work.
- To learn tips and tricks around Non-Linear Regression analysis.
- Practical examples of Stata
- Tips for building regression models
- Introduction to Stata
- Data processing in Stata
- Data visualization in Stata
- Data analysis in Stata
- Regression modeling in Stata
- Stata simulation
- Safety analysis
- calculate data analysis
- Sectional Data Analysis
- Panel Data Analysis
- Epidemiology
- Equipment Changes
- Power Analysis
- The difference between
Who is this course for?
- Students who work with data and numbers
- Anyone who wants to work with Stata
- Anyone who wants to easily understand reversion
- Business managers using quantitative evidence
- Those in economics/politics/social sciences
Exclusive to STATA OMNIBUS: Regression and Modeling with STATA
- Publisher: Udemy
- Teacher: F. Buscha
- Language : English
- Level: Beginner
- Number of Courses: 165
- Duration : 19 hours and 23 minutes
Contains 11/2022
Requirements
- There are no requirements except interest
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
Download Links
Password file: free download software
file size
4.08 GB