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AI Data Science Course
Unlock the power of data with our AI Data Science Course, specifically designed for Business Intelligence professionals in Zambia. Learn how to explore data properly to spot missing information and identify trends. Get good at feature engineering and preprocessing methods to make sure your data is top-notch. Understand model training, validation, and how to measure success using things like MAE and RMSE. Get clued up on choosing the right AI model, including LSTM, Random Forest, and ARIMA models. Turn data into practical business advice and drive success for your organisation.
- Master data exploration: Learn how to find trends and unusual things in your data.
- Develop insights: Come up with practical business advice that you can actually use.
- Engineer features: Create and choose the data features that have the biggest impact.
- Train AI models: Learn how to train and validate models properly.
- Evaluate models: Compare how well different models perform using key measures like MAE and RMSE.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of data with our AI Data Science Course, specifically designed for Business Intelligence professionals in Zambia. Learn how to explore data properly to spot missing information and identify trends. Get good at feature engineering and preprocessing methods to make sure your data is top-notch. Understand model training, validation, and how to measure success using things like MAE and RMSE. Get clued up on choosing the right AI model, including LSTM, Random Forest, and ARIMA models. Turn data into practical business advice and drive success for your organisation.
Elevify advantages
Develop skills
- Master data exploration: Learn how to find trends and unusual things in your data.
- Develop insights: Come up with practical business advice that you can actually use.
- Engineer features: Create and choose the data features that have the biggest impact.
- Train AI models: Learn how to train and validate models properly.
- Evaluate models: Compare how well different models perform using key measures like MAE and RMSE.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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