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AI Data Science Course
Unlock the potential of data with our AI Data Science Course, designed for Business Intelligence professionals in Pakistan. Delve into data exploration techniques to pinpoint missing values and recognise trends. Master feature engineering and preprocessing methods to improve data quality. Learn model training, validation, and evaluation metrics such as MAE and RMSE. Gain insights into AI model selection, including LSTM, Random Forest, and ARIMA models. Transform data into practical business recommendations to drive success.
- Master data exploration: Identify patterns and anomalies in datasets.
- Develop insights: Formulate actionable business recommendations.
- Engineer features: Create and select impactful data features.
- Train AI models: Implement effective model training and validation.
- Evaluate models: Compare performance using key metrics such as MAE and RMSE.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Unlock the potential of data with our AI Data Science Course, designed for Business Intelligence professionals in Pakistan. Delve into data exploration techniques to pinpoint missing values and recognise trends. Master feature engineering and preprocessing methods to improve data quality. Learn model training, validation, and evaluation metrics such as MAE and RMSE. Gain insights into AI model selection, including LSTM, Random Forest, and ARIMA models. Transform data into practical business recommendations to drive success.
Elevify advantages
Develop skills
- Master data exploration: Identify patterns and anomalies in datasets.
- Develop insights: Formulate actionable business recommendations.
- Engineer features: Create and select impactful data features.
- Train AI models: Implement effective model training and validation.
- Evaluate models: Compare performance using key metrics such as 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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