The STATA OMNIBUS: Regression and Modelling with STATA
4 COURSES IN 1! Master Linear and Non-Linear Regression, Regression Modeling, and Stata Fundamentals - All in One Place
The STATA OMNIBUS: Regression and Modelling with STATA udemy course free download
4 COURSES IN 1! Master Linear and Non-Linear Regression, Regression Modeling, and Stata Fundamentals - All in One Place
4 COURSES IN ONE!
Welcome to The STATA OMNIBUS, a unique package that combines four powerful courses under one umbrella. Whether you’re new to regression analysis or looking to sharpen your modeling skills, this comprehensive program will equip you with:
An Introduction to Linear Regression – Learn Ordinary Least Squares (OLS) and understand the foundations of regression.
A Deep Dive into Non-Linear Regression – Explore Logit and Probit models, discover when they’re useful, and see how to interpret and apply them.
Regression Modeling Techniques – Go beyond the basics to tackle real-world challenges, from functional form choices to dealing with collinearity, missing data, and more.
The Essential Guide to Stata – Build confidence in your ability to use Stata for data management, visualization, and a variety of analytical methods.
By the end of this program, you’ll have the skills to handle everything from the simplest OLS setup to more advanced regression scenarios—without getting lost in dense equations or complex theory. My goal is to make these concepts accessible, intuitive, and immediately applicable.
What You’ll Learn:
1. Linear & Non-Linear Regression
Principles of Regression: Understand the difference between correlation and causation, parametric vs. non-parametric approaches, and lines of best fit.
Ordinary Least Squares (OLS): Grasp beta coefficients, standard errors, t-statistics, p-values, confidence intervals, and the assumptions behind the Gauss-Markov theorem.
Non-Linear Regression Basics: See why non-linear models are useful and when to apply them.
Logit & Probit Models: Learn about maximum likelihood, latent variables, marginal effects, odd ratios (for Logit), and how to interpret model output properly.
2. Regression Modeling
Philosophy of Regression Modeling: Examine the mindset needed to build effective regression models.
Functional Form: Model non-linear relationships in a linear setting.
Interaction Effects: Use and interpret interaction terms to capture combined variable effects.
Time Dynamics: Incorporate lags and leads when data includes a time component.
Categorical Variables: Code, interpret, and present variables with multiple categories.
Multicollinearity: Spot and address collinearity among predictors.
Missing Data: Identify missing data issues and decide how to handle them effectively.
3. The Essential Guide to Stata
Getting Started: Install, navigate, and master Stata’s interface.
Data Management: Clean, merge, reshape, and manipulate data.
Exploration & Visualization: Summarize your data and create publication-quality graphs.
Statistical Methods: From correlation and ANOVA to panel data analysis, difference-in-differences, instrumental variables, and more.
Specialized Techniques: Fractional response models, simulation strategies, count data models, survival analysis, and epidemiological tables.
Power & Sample Size: Determine key parameters for designing robust studies.
Matrix Operations: Harness matrix operators, functions, and subscripting for advanced tasks.
Who This Course Is For
Students and Researchers who need a solid grounding in regression techniques without heavy math.
Analysts and Professionals in business, government, or academia looking to upgrade their data modeling skills.
Anyone New to Stata wanting to quickly gain confidence in manipulating data and interpreting results.
No prior knowledge of Stata or advanced math is required. Some familiarity with basic statistics is helpful, but I’ll guide you every step of the way. My focus is always on practical application—so you can understand, interpret, and present regression results with ease.
Why You Should Enroll:
Hands-On Experience: All methods are demonstrated in Stata using real-life examples.
Practical Focus: Skip the heavy equations—learn how to apply and interpret regression in a clear, intuitive way.
Time-Saving Tips & Tricks: Build robust models without the typical pitfalls that can derail less experienced analysts.
4-in-1 Value: Get everything you need—from a basic introduction to advanced regression modeling—under a single course banner.
Join me in The STATA OMNIBUS to master linear and non-linear regression, develop advanced regression modelling strategies, and build confidence in Stata.
