GBA 6210 Data Mining For Business Analytics (3 Credits)
This course aims to equip students with knowledge, experiences, and programming skills of applying predictive analytics in business contexts with hands-on exercises and projects. Students will learn to model significant and meaningful patterns embedded in historical data using data mining techniques, evaluate performance of machine learning models, and deploy the models for prediction.
- Properly frame predictive analytics problems in business context.
- Understand the theory of supervised and unsupervised learning algorithms.
- Interpret performance evaluation results of machine learning models
- Select appropriate machine learning algorithms and develop machine learning models that capture patterns in historical data using statistical software
- Deploy machine learning models and make predictions.
- Communicate predictive analytics results to business audience.