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Statistical Modeling Analyst For Business Course
Enhance your Business Intelligence expertise with our Statistical Modelling Analyst for Business Course. Delve into data collection, management, and preprocessing techniques to effectively manage outliers and missing values. Become proficient in model interpretation, extract actionable insights, and explore data visualization methods. Learn to train and evaluate models using MAE and RMSE, and forecast using linear regression and ARIMA. Improve your reporting skills to communicate findings clearly and with impact. Enrol now for a concise, high-quality learning experience.
- Master data collection: Employ advanced techniques for efficient data gathering.
- Interpret models: Analyse coefficients to extract actionable business insights.
- Visualise data: Develop compelling visualisations to identify trends and patterns.
- Preprocess data: Identify outliers and manage missing values for clean datasets.
- Forecast with models: Apply linear regression and ARIMA for accurate predictions.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Enhance your Business Intelligence expertise with our Statistical Modelling Analyst for Business Course. Delve into data collection, management, and preprocessing techniques to effectively manage outliers and missing values. Become proficient in model interpretation, extract actionable insights, and explore data visualization methods. Learn to train and evaluate models using MAE and RMSE, and forecast using linear regression and ARIMA. Improve your reporting skills to communicate findings clearly and with impact. Enrol now for a concise, high-quality learning experience.
Elevify advantages
Develop skills
- Master data collection: Employ advanced techniques for efficient data gathering.
- Interpret models: Analyse coefficients to extract actionable business insights.
- Visualise data: Develop compelling visualisations to identify trends and patterns.
- Preprocess data: Identify outliers and manage missing values for clean datasets.
- Forecast with models: Apply linear regression and ARIMA for accurate predictions.
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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