Data Labeling Course
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.
Apoia's Unique Features
Develop skills
Enhance your practical skills as listed below
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
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and workload.
- Choose your starting chapter
- Add or remove chapters
- Alter the total course workload
Examples of chapters you can include
You'll be able to generate additional chapters similar to 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 provides practical and relevant knowledge for your career.