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AI Data Science Course
Unlock di power wey data get with our AI Data Science Course, tailor-made for sharp Business Intelligence people like you. Enter inside data exploration to find all those missing values and see di kain patterns wey dey hide. Master feature engineering and how to clean data well well to make am top quality. Learn how to train models, check if dem dey work well, and use things like MAE and RMSE to see how correct dem be. Get correct understanding of how to choose AI model, like LSTM, Random Forest, and even ARIMA models. Change data to correct business advice wey go make sense and drive ogbonge success.
- Master data exploration: See all di patterns and anytin wey no correct wey dey inside di data.
- Develop insights: Give correct business advice wey go make sense.
- Engineer features: Create and choose di data features wey get power pass.
- Train AI models: Do correct model training and make sure say e dey valid.
- Evaluate models: Compare how di models dey perform using important tins like MAE and RMSE.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock di power wey data get with our AI Data Science Course, tailor-made for sharp Business Intelligence people like you. Enter inside data exploration to find all those missing values and see di kain patterns wey dey hide. Master feature engineering and how to clean data well well to make am top quality. Learn how to train models, check if dem dey work well, and use things like MAE and RMSE to see how correct dem be. Get correct understanding of how to choose AI model, like LSTM, Random Forest, and even ARIMA models. Change data to correct business advice wey go make sense and drive ogbonge success.
Elevify advantages
Develop skills
- Master data exploration: See all di patterns and anytin wey no correct wey dey inside di data.
- Develop insights: Give correct business advice wey go make sense.
- Engineer features: Create and choose di data features wey get power pass.
- Train AI models: Do correct model training and make sure say e dey valid.
- Evaluate models: Compare how di models dey perform using important tins like MAE and RMSE.
Suggested summary
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