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Linear Models Course

Linear Models Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

This Linear Models Course offers a swift, hands-on route to creating dependable predictive models. Dive into data exploration, feature engineering, and fitting basic, multiple, and regularised regressions using Python or R. Master model validation, assumption checks, outlier and missing data management, plus effective communication of results, uncertainty, and business value for everyday decision-making.

Elevify advantages

Develop skills

  • Build robust linear models using OLS, regularisation, and feature engineering.
  • Diagnose model problems like residuals, multicollinearity, outliers, and robustness.
  • Evaluate models with R-squared, RMSE, AIC/BIC, cross-validation, and intervals.
  • Communicate results by interpreting coefficients, uncertainty, and business impact.
  • Adopt a deployment mindset with monitoring, drift detection, retraining, and ethics.

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.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Really great course. Lots of valuable information.
WiltonCivil Firefighter

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