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Statistical Modeling Analyst For Business Course
Level up your Business Intelligence skills with our Statistical Modelling Analyst for Business Course. Go deep into data collection, management, and preprocessing methods to handle outliers and missing values properly. Become a master at model interpretation, get actionable insights, and check out data visualisation methods. Learn how to train and evaluate models using MAE and RMSE, and make forecasts with linear regression and ARIMA. Improve your reporting skills to communicate what you've found clearly and make an impact. Sign up now for a concise, high-quality learning experience.
- Master data collection: Use advanced methods to collect data efficiently.
- Interpret models: Analyse coefficients to get actionable business insights.
- Visualise data: Create engaging visualisations to spot trends and patterns.
- Preprocess data: Find outliers and deal with missing values to get clean datasets.
- Forecast with models: Use linear regression and ARIMA for accurate predictions.

4 to 360 hours of flexible workload
certificate recognized by the Ministry of Education
What Will I Learn?
Level up your Business Intelligence skills with our Statistical Modelling Analyst for Business Course. Go deep into data collection, management, and preprocessing methods to handle outliers and missing values properly. Become a master at model interpretation, get actionable insights, and check out data visualisation methods. Learn how to train and evaluate models using MAE and RMSE, and make forecasts with linear regression and ARIMA. Improve your reporting skills to communicate what you've found clearly and make an impact. Sign up now for a concise, high-quality learning experience.
Elevify Advantages
Develop Skills
- Master data collection: Use advanced methods to collect data efficiently.
- Interpret models: Analyse coefficients to get actionable business insights.
- Visualise data: Create engaging visualisations to spot trends and patterns.
- Preprocess data: Find outliers and deal with missing values to get clean datasets.
- Forecast with models: Use linear regression and ARIMA for accurate predictions.
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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