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Statistical Modeler Course
Improve your statistical modelling skills with our Statistical Modeller Course, designed for professionals looking to master feature engineering, effective reporting, and model selection. Get stuck in with data exploration, learn to manage missing values, and transform data properly. Get a good understanding of model training, validation, and interpretation, making sure your reports are clear and easy to understand. This short, high-quality course will help you to make data-driven decisions with confidence and in an effective way.
- Master feature engineering: Improve model accuracy with advanced feature techniques.
- Create clear reports: Share what you've found in a way that technical and non-technical people can understand.
- Select the best models: Choose the best forecasting models for accurate predictions.
- Validate models: Use RMSE and MAE to make sure models are accurate and reliable.
- Clean and transform data: Manage missing values and keep a record of how the cleaning was done.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your statistical modelling skills with our Statistical Modeller Course, designed for professionals looking to master feature engineering, effective reporting, and model selection. Get stuck in with data exploration, learn to manage missing values, and transform data properly. Get a good understanding of model training, validation, and interpretation, making sure your reports are clear and easy to understand. This short, high-quality course will help you to make data-driven decisions with confidence and in an effective way.
Elevify advantages
Develop skills
- Master feature engineering: Improve model accuracy with advanced feature techniques.
- Create clear reports: Share what you've found in a way that technical and non-technical people can understand.
- Select the best models: Choose the best forecasting models for accurate predictions.
- Validate models: Use RMSE and MAE to make sure models are accurate and reliable.
- Clean and transform data: Manage missing values and keep a record of how the cleaning was done.
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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