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AI Data Science Course
Unlock the power of data with our AI Data Science Course, tailored for Business Intelligence professionals. Delve into data exploration techniques to identify missing values and detect patterns. Master feature engineering and pre-processing methods to enhance data quality. Learn model training, validation, and evaluation metrics like MAE and RMSE. Gain insights into AI model selection, including LSTM, Random Forest, and ARIMA models. Transform data into actionable business recommendations and 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 like MAE and RMSE.

4 to 360 hours flexible workload
certificate recognised by MEC
What will I learn?
Unlock the power of data with our AI Data Science Course, tailored for Business Intelligence professionals. Delve into data exploration techniques to identify missing values and detect patterns. Master feature engineering and pre-processing methods to enhance data quality. Learn model training, validation, and evaluation metrics like MAE and RMSE. Gain insights into AI model selection, including LSTM, Random Forest, and ARIMA models. Transform data into actionable business recommendations and 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 like MAE and RMSE.
Suggested summary
Before starting, you can change the chapters and the 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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