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Data Labeling Course
Improve your Business Intelligence skills with our Data Labeling Course, made for professionals wanting to master data preparation and customer retention strategies. Get stuck in to data cleaning, normalisation, and dealing with missing data to make sure it's all consistent. Explore customer behaviour analysis, churn factors (reasons why customers leave), and retention metrics (how well you're keeping customers). Learn good ways to collect data and advanced labeling strategies, including binary classification and feature selection. Get better at documenting and reporting so you can handle data preparation challenges properly.
- Master data cleaning: Remove duplicates and make sure data is consistent.
- Analyse customer behaviour: Spot patterns and guess who might leave.
- Collect and use data: Gather information about demographics and how customers interact.
- Implement data labeling: Use binary classification and feature selection.
- Document processes: Report on data preparation and labeling problems.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your Business Intelligence skills with our Data Labeling Course, made for professionals wanting to master data preparation and customer retention strategies. Get stuck in to data cleaning, normalisation, and dealing with missing data to make sure it's all consistent. Explore customer behaviour analysis, churn factors (reasons why customers leave), and retention metrics (how well you're keeping customers). Learn good ways to collect data and advanced labeling strategies, including binary classification and feature selection. Get better at documenting and reporting so you can handle data preparation challenges properly.
Elevify advantages
Develop skills
- Master data cleaning: Remove duplicates and make sure data is consistent.
- Analyse customer behaviour: Spot patterns and guess who might leave.
- Collect and use data: Gather information about demographics and how customers interact.
- Implement data labeling: Use binary classification and feature selection.
- Document processes: Report on data preparation and labeling problems.
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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