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Data Labeling Course
Improve your Business Intelligence skills with our Data Labeling Course, tailored for Senegalese professionals wanting to master data preparation and keep customers. You go learn how to clean data, make am normal, and handle data wey loss so e go dey consistent. You go see how customer dem dey behave, wetin dey make dem comot, and how we dey measure if we dey keep dem. You go learn good ways to collect data and advanced ways to label am, like how to use binary classification and pick the important features. You go get better for writing reports so you fit solve data preparation problems well.
- Master data cleaning: Remove any data wey be two-two and make sure all the data dey correct.
- Analyze customer behavior: See how customer dem dey behave and know who go comot.
- Collect and utilize data: Collect data about people and how dem dey interact.
- Implement data labeling: Use binary classification and pick the important features for the data.
- Document processes: Write report about how we dey prepare and label data and any problem wey we get.

flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Improve your Business Intelligence skills with our Data Labeling Course, tailored for Senegalese professionals wanting to master data preparation and keep customers. You go learn how to clean data, make am normal, and handle data wey loss so e go dey consistent. You go see how customer dem dey behave, wetin dey make dem comot, and how we dey measure if we dey keep dem. You go learn good ways to collect data and advanced ways to label am, like how to use binary classification and pick the important features. You go get better for writing reports so you fit solve data preparation problems well.
Elevify advantages
Develop skills
- Master data cleaning: Remove any data wey be two-two and make sure all the data dey correct.
- Analyze customer behavior: See how customer dem dey behave and know who go comot.
- Collect and utilize data: Collect data about people and how dem dey interact.
- Implement data labeling: Use binary classification and pick the important features for the data.
- Document processes: Write report about how we dey prepare and label data and any problem wey we get.
Suggested summary
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