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Statistical Modeler Course
Enhance your statistical modelling skills with our Statistical Modeller Course, specifically designed for professionals looking to master feature engineering, effective reporting, and model selection techniques. Delve into data exploration, learn to deal with missing values, and transform data accurately. Develop insights into model training, validation, and interpretation, ensuring your reports are clear and understandable. This concise, high-quality course equips you to confidently and effectively make data-driven decisions.
- Master feature engineering: Improve model accuracy using advanced feature techniques.
- Develop clear reports: Communicate findings effectively to both technical and non-technical stakeholders.
- Select optimal models: Choose the best forecasting models for accurate predictions.
- Validate models: Use RMSE and MAE to confirm model accuracy and reliability.
- Clean and transform data: Manage missing values and document the cleaning process thoroughly.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Enhance your statistical modelling skills with our Statistical Modeller Course, specifically designed for professionals looking to master feature engineering, effective reporting, and model selection techniques. Delve into data exploration, learn to deal with missing values, and transform data accurately. Develop insights into model training, validation, and interpretation, ensuring your reports are clear and understandable. This concise, high-quality course equips you to confidently and effectively make data-driven decisions.
Elevify advantages
Develop skills
- Master feature engineering: Improve model accuracy using advanced feature techniques.
- Develop clear reports: Communicate findings effectively to both technical and non-technical stakeholders.
- Select optimal models: Choose the best forecasting models for accurate predictions.
- Validate models: Use RMSE and MAE to confirm model accuracy and reliability.
- Clean and transform data: Manage missing values and document the cleaning process thoroughly.
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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