Linear Models Course
Master linear models from data prep to deployment. This Linear Models Course helps statistics professionals build, diagnose, and explain robust regressions, handle bias and uncertainty, and turn coefficients into clear, actionable business insights.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Linear Models Course gives you a fast, practical path to building reliable predictive models. You will explore data, engineer features, and fit simple, multiple, and regularized regression with Python or R workflows. Learn to validate models, check assumptions, handle outliers and missing values, and clearly communicate results, uncertainty, and business impact for real-world decision-making.
Elevify advantages
Develop skills
- Build robust linear models: fast OLS, regularization, and feature engineering.
- Diagnose model issues: residuals, multicollinearity, outliers, and robustness.
- Evaluate models: R-squared, RMSE, AIC/BIC, CV, and interval estimation.
- Communicate results: interpret coefficients, uncertainty, and business impact.
- Deploy-ready mindset: monitoring, drift checks, retraining, and ethical use.
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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