APPLICATION OF PREDICTIVE ANALYTICS TO BUSINESS DATA (4 CREDITS)

Learning Outcomes:

On successful completion of this course, students will be able to: LO1 – Explain the principal of predictive analytic concepts; LO2 – Summarise various approaches of predictive analytic; LO3 – Design predictive analytic implementation.

Topics:

1. Data to Insights to Decisions;
2. Probability Based Learning;
3. Deep Learning;
4. Data Exploration;
5. Predictive Analytics Use Cases;
6. Machine Learning for Predictive Data Analytics;
7. Similarity Based Learning;
8. Evaluation;
9. Error Based Learning;
10. Unsupervised Learning;
11. Case Study: Customer Churn;
12. Information Based Learning;
13. Reinforcement Learning.