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Data Labeling Course
Boost your Business Intelligence skills with our Data Labelling Course, tailored for professionals looking to get the hang of data preparation and customer retention strategies. Dig into data cleansing, normalisation, and dealing with missing data to make sure everything's consistent. Have a look at customer behaviour analysis, churn factors, and retention metrics. Learn good data collection methods and advanced labelling strategies, including binary classification and feature selection. Improve your documentation and reporting skills to tackle data preparation issues effectively.
- Master data cleansing: Get rid of duplicates and make sure data's consistent.
- Analyse customer behaviour: Spot patterns and predict churn.
- Collect and use data: Gather demographics and interaction insights.
- Implement data labelling: Use binary classification and feature selection.
- Document processes: Report on data preparation and labelling issues.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Boost your Business Intelligence skills with our Data Labelling Course, tailored for professionals looking to get the hang of data preparation and customer retention strategies. Dig into data cleansing, normalisation, and dealing with missing data to make sure everything's consistent. Have a look at customer behaviour analysis, churn factors, and retention metrics. Learn good data collection methods and advanced labelling strategies, including binary classification and feature selection. Improve your documentation and reporting skills to tackle data preparation issues effectively.
Elevify advantages
Develop skills
- Master data cleansing: Get rid of duplicates and make sure data's consistent.
- Analyse customer behaviour: Spot patterns and predict churn.
- Collect and use data: Gather demographics and interaction insights.
- Implement data labelling: Use binary classification and feature selection.
- Document processes: Report on data preparation and labelling issues.
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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