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Data Labeling Course
Level up your Business Intelligence skills with our Data Labelling Course, designed for professionals looking to become experts in data preparation and customer retention strategies. Get stuck in to data cleaning, normalisation, and dealing with missing data to make sure everything's consistent. Find out about customer behaviour analysis, what makes customers churn, and how to measure retention. Learn how to properly collect data and use advanced labelling methods, including binary classification and feature selection. Improve your documentation and reporting skills so you can tackle data preparation challenges efficiently.
- Master data cleaning: Get rid of duplicates and make sure data is consistent.
- Analyse customer behaviour: Spot patterns and predict when customers might leave.
- Collect and utilise data: Gather demographics and get insights from customer interactions.
- Implement data labelling: Use binary classification and feature selection.
- Document processes: Report on data preparation and labelling issues and challenges.

4 to 360 hours of flexible workload
certificate recognized by the Ministry of Education
What Will I Learn?
Level up your Business Intelligence skills with our Data Labelling Course, designed for professionals looking to become experts in data preparation and customer retention strategies. Get stuck in to data cleaning, normalisation, and dealing with missing data to make sure everything's consistent. Find out about customer behaviour analysis, what makes customers churn, and how to measure retention. Learn how to properly collect data and use advanced labelling methods, including binary classification and feature selection. Improve your documentation and reporting skills so you can tackle data preparation challenges efficiently.
Elevify Advantages
Develop Skills
- Master data cleaning: Get rid of duplicates and make sure data is consistent.
- Analyse customer behaviour: Spot patterns and predict when customers might leave.
- Collect and utilise data: Gather demographics and get insights from customer interactions.
- Implement data labelling: Use binary classification and feature selection.
- Document processes: Report on data preparation and labelling issues and 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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