Stata Software Course
4/5
This course offers hands-on training in Stata for data cleaning, modeling, survey analysis, and reproducible research, enabling participants to produce publication-ready outputs.

4.0 in rating
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
The Stata Software Course provides a quick, hands-on way to clean data, build strong models, and produce clear, repeatable results. You will learn to locate and import actual survey datasets, handle missing values, generate variables, perform survey-adjusted regressions, and select appropriate models. By the end, you will be equipped to create professional tables, figures, and text suitable for peer review and practical decision-making.
Elevify advantages
Develop skills
- Stata data management: Clean, recode, label, and weight data for efficient analysis.
- Regression modelling in Stata: Fit, compare, and validate linear and logistic models.
- Survey analysis in Stata: Use svy commands, weights, and robust or clustered standard errors.
- Reproducible workflows: Develop do-files, logs, and folder structures for verifiable projects.
- Results to reports: Export tables, interpret odds ratios, and write straightforward methods.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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