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Data Labeling Course
Enhance your Business Intelligence skills with our Data Labelling Course, specifically designed for professionals looking to become proficient in data preparation and customer retention strategies. Delve into data cleaning, standardisation, and managing missing data to guarantee uniformity. Investigate customer behaviour analysis, churn factors, and retention metrics. Acquire effective data collection techniques and advanced labelling strategies, including binary classification and feature selection. Improve your documentation and reporting capabilities to tackle data preparation challenges effectively.
- Become proficient in data cleaning: Remove duplicates and ensure data consistency.
- Analyse customer behaviour: Identify patterns and predict churn rate.
- Collect and utilise data: Gather demographic and interaction insights.
- Implement data labelling: Apply binary classification and feature selection techniques.
- Document processes: Report on data preparation and labelling challenges.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Enhance your Business Intelligence skills with our Data Labelling Course, specifically designed for professionals looking to become proficient in data preparation and customer retention strategies. Delve into data cleaning, standardisation, and managing missing data to guarantee uniformity. Investigate customer behaviour analysis, churn factors, and retention metrics. Acquire effective data collection techniques and advanced labelling strategies, including binary classification and feature selection. Improve your documentation and reporting capabilities to tackle data preparation challenges effectively.
Elevify advantages
Develop skills
- Become proficient in data cleaning: Remove duplicates and ensure data consistency.
- Analyse customer behaviour: Identify patterns and predict churn rate.
- Collect and utilise data: Gather demographic and interaction insights.
- Implement data labelling: Apply binary classification and feature selection techniques.
- Document processes: Report on data preparation and labelling challenges.
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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