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Statistical Modeling Analyst For Business Course
Up your Business Intelligence skills with our Statistical Modelling Analyst for Business Course. Delve into data collection, management, and preprocessing techniques to handle outliers and missing values effectively. Master model interpretation, derive actionable insights, and explore data visualisation methods. Learn to train and evaluate models using MAE and RMSE, and forecast with linear regression and ARIMA. Enhance your reporting skills to communicate findings clearly and impactfully. Join now for a concise, high-quality learning experience.
- Master data collection: Utilize advanced techniques for efficient data gathering.
- Interpret models: Analyse coefficients to derive actionable business insights.
- Visualize data: Create compelling visualisations to identify trends and patterns.
- Preprocess data: Detect outliers and handle missing values for clean datasets.
- Forecast with models: Apply linear regression and ARIMA for accurate predictions.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Up your Business Intelligence skills with our Statistical Modelling Analyst for Business Course. Delve into data collection, management, and preprocessing techniques to handle outliers and missing values effectively. Master model interpretation, derive actionable insights, and explore data visualisation methods. Learn to train and evaluate models using MAE and RMSE, and forecast with linear regression and ARIMA. Enhance your reporting skills to communicate findings clearly and impactfully. Join now for a concise, high-quality learning experience.
Elevify advantages
Develop skills
- Master data collection: Utilize advanced techniques for efficient data gathering.
- Interpret models: Analyse coefficients to derive actionable business insights.
- Visualize data: Create compelling visualisations to identify trends and patterns.
- Preprocess data: Detect outliers and handle 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 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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