Regression Course
This course teaches practical regression modeling techniques for data-driven decisions.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This focused Regression Course shows you how to frame clear research questions, build clean datasets, and run robust models in R, Python, or spreadsheets. You will learn practical EDA, model selection, assumption checks, and effect size interpretation, then report results transparently with reproducible workflows and strong ethical safeguards that support confident, data-driven decisions in real practice.
Elevify advantages
Develop skills
- Regression modelling: rapidly choose, specify, and fit linear models in R, Python, Excel.
- Data preparation: clean, transform, and visualise predictors for robust regression.
- Model diagnostics: test assumptions, compare models, and avoid overfitting in practice.
- Clinical interpretation: turn coefficients into clear, actionable treatment decisions.
- Reproducible reporting: document code, protect privacy, and write concise results.
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 workload.What our students say
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