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Artificial Intelligence Course
Unlock the power of artificial intelligence in business intelligence with our comprehensive course designed for professionals. Dive into retail sales dynamics, mastering factors like seasonal trends and promos. Enhance your data skills by learning to handle missing data, clean datasets, and engineer features for time series analysis. Gain expertise in model training, evaluation, and optimisation, including hyperparameter tuning and cross-validation. Elevate your forecasting abilities with cutting-edge machine learning models like Prophet, LSTM, and ARIMA.
- Master retail sales dynamics: Analyse trends and promotional impacts effectively.
- Clean and preprocess data: Ensure data accuracy for insightful analysis.
- Engineer time-based features: Enhance predictive models with temporal insights.
- Optimise model performance: Fine-tune algorithms for superior accuracy.
- Document and report findings: Communicate insights with clarity and precision.

4 to 360 hours flexible workload
certificate recognised by the NZQA
What will I learn?
Unlock the power of artificial intelligence in business intelligence with our comprehensive course designed for professionals. Dive into retail sales dynamics, mastering factors like seasonal trends and promos. Enhance your data skills by learning to handle missing data, clean datasets, and engineer features for time series analysis. Gain expertise in model training, evaluation, and optimisation, including hyperparameter tuning and cross-validation. Elevate your forecasting abilities with cutting-edge machine learning models like Prophet, LSTM, and ARIMA.
Elevify advantages
Develop skills
- Master retail sales dynamics: Analyse trends and promotional impacts effectively.
- Clean and preprocess data: Ensure data accuracy for insightful analysis.
- Engineer time-based features: Enhance predictive models with temporal insights.
- Optimise model performance: Fine-tune algorithms for superior accuracy.
- Document and report findings: Communicate insights with clarity and precision.
Suggested summary
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