Linear Models Course
This Linear Models Mastery Course equips stats experts to build, diagnose, and interpret strong regression models from data preparation through to deployment. Handle bias, uncertainty, and transform coefficients into straightforward business insights that drive real actions and informed choices.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills to create reliable predictive models using linear methods. Explore data analysis, feature engineering, and fitting simple, multiple, plus regularized regressions with Python or R. Master model validation, assumption checks, outlier and missing data handling, plus communicating results, uncertainty, and business value for everyday decisions.
Elevify advantages
Develop skills
- Build strong linear models quickly with OLS, regularization, and smart feature engineering.
- Spot and fix model problems like residuals, multicollinearity, outliers, and stability issues.
- Assess models using R-squared, RMSE, AIC/BIC, cross-validation, and confidence intervals.
- Explain results clearly: coefficients, uncertainty levels, and business implications.
- Adopt deployment focus: monitor performance, check for drift, retrain models, and use ethically.
Suggested summary
Before starting, you can change the chapters and 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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