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Data Labeling Course
Improve your Business Intelligence skills through our Data Labeling Course, prepared specifically for professionals to become skilled in data preparation and customer retention strategies. Deep-dive into data cleaning, normalization, and managing missing data to ensure everything is consistent. Examine customer behaviour analysis, churn factors (reasons customers leave), and retention metrics (measurements of keeping customers). Acquire effective data collection techniques and advanced labeling strategies, including binary classification (categorising into two groups) and feature selection (choosing the most important characteristics). Improve how you document and report to handle data preparation problems efficiently.
- Master data cleaning: Remove duplicates and ensure that data is consistent.
- Analyze customer behavior: Find patterns and predict customer churn (reasons for leaving).
- Collect and use data: Gather demographic information and insights from interactions.
- Implement data labeling: Use binary classification (categorising into two groups) and feature selection (choosing the most important characteristics).
- Document processes: Report on data preparation and labeling challenges.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your Business Intelligence skills through our Data Labeling Course, prepared specifically for professionals to become skilled in data preparation and customer retention strategies. Deep-dive into data cleaning, normalization, and managing missing data to ensure everything is consistent. Examine customer behaviour analysis, churn factors (reasons customers leave), and retention metrics (measurements of keeping customers). Acquire effective data collection techniques and advanced labeling strategies, including binary classification (categorising into two groups) and feature selection (choosing the most important characteristics). Improve how you document and report to handle data preparation problems efficiently.
Elevify advantages
Develop skills
- Master data cleaning: Remove duplicates and ensure that data is consistent.
- Analyze customer behavior: Find patterns and predict customer churn (reasons for leaving).
- Collect and use data: Gather demographic information and insights from interactions.
- Implement data labeling: Use binary classification (categorising into two groups) and feature selection (choosing the most important characteristics).
- Document processes: Report on data preparation and labeling 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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