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Predictive Analysis Technician Course
Learn how to use data to predict what will happen with our Predictive Analysis Technician Training. This training is made for people who sabi statistics and want to improve their skills. You go learn how to prepare data, build predictive models, and choose the right features to make strong models. You go also learn how to explore data, check if your model dey correct, and prepare reports so you can give advice that people can use to improve business. This training will teach you how to turn raw data into decisions that can help business, and you can learn at your own time. Register now to improve your skills.
- Sabi how to choose features: Create and select the data features wey important.
- Build predictive models: Train and test models so dem fit predict things correctly.
- Clean and prepare data: Handle data wey missing and make sure everything dey the same.
- Give advice wey people can use: Give business recommendations based on data.
- Check how model dey perform: Use different ways to see if the model dey correct and accurate.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Learn how to use data to predict what will happen with our Predictive Analysis Technician Training. This training is made for people who sabi statistics and want to improve their skills. You go learn how to prepare data, build predictive models, and choose the right features to make strong models. You go also learn how to explore data, check if your model dey correct, and prepare reports so you can give advice that people can use to improve business. This training will teach you how to turn raw data into decisions that can help business, and you can learn at your own time. Register now to improve your skills.
Elevify advantages
Develop skills
- Sabi how to choose features: Create and select the data features wey important.
- Build predictive models: Train and test models so dem fit predict things correctly.
- Clean and prepare data: Handle data wey missing and make sure everything dey the same.
- Give advice wey people can use: Give business recommendations based on data.
- Check how model dey perform: Use different ways to see if the model dey correct and accurate.
Suggested summary
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