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Data Labeling Course
Improve your Business Intelligence skills with our Data Labelling Course, specifically designed for professionals looking to master data preparation and customer retention strategies. Delve into data cleaning, normalisation, and handling missing data to ensure data is consistent. Explore customer behaviour analysis, churn factors, and retention metrics. Learn effective data collection techniques and advanced labelling strategies, including binary classification and feature selection. Enhance your documentation and reporting skills to efficiently tackle data preparation challenges.
- Master data cleaning: Remove duplicates and ensure data is consistent.
- Analyse customer behaviour: Identify patterns and predict churn.
- Collect and utilise data: Gather demographics and interaction insights.
- Implement data labelling: Apply binary classification and feature selection.
- Document processes: Report data preparation and labelling challenges.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Improve your Business Intelligence skills with our Data Labelling Course, specifically designed for professionals looking to master data preparation and customer retention strategies. Delve into data cleaning, normalisation, and handling missing data to ensure data is consistent. Explore customer behaviour analysis, churn factors, and retention metrics. Learn effective data collection techniques and advanced labelling strategies, including binary classification and feature selection. Enhance your documentation and reporting skills to efficiently tackle data preparation challenges.
Elevify advantages
Develop skills
- Master data cleaning: Remove duplicates and ensure data is consistent.
- Analyse customer behaviour: Identify patterns and predict churn.
- Collect and utilise data: Gather demographics and interaction insights.
- Implement data labelling: Apply binary classification and feature selection.
- Document processes: Report data preparation and labelling challenges.
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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