Data Labeling Course
What will I learn?
Elevate your Business Intelligence skills with our Data Labelling Course, designed for professionals seeking to master data preparation and customer retention strategies. Dive into data cleaning, normalisation, and handling missing data to ensure consistency. Explore customer behaviour analysis, churn factors, and retention metrics. Learn effective data collection techniques and advanced labelling strategies, including binary classification and feature selection. Enhance your documentation and reporting skills to address data preparation challenges efficiently.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data cleaning: Remove duplicates and ensure data consistency.
Analyse customer behaviour: Identify patterns and predict churn.
Collect and utilise data: Gather demographics and interaction insights.
Implement data labelling: Apply binary classification and feature selection.
Document processes: Report data preparation and labelling challenges.
Suggested summary
Workload: between 4 and 360 hours
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
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.