0| Modules | Training | Practice | Case Studies |
| Module 2: Data Visualization and Summarization | 10 | 15 | 1. Crime Data |
| 2. Depression & anxiety | |||
| 3. Customer Demographic Data | |||
| Module 3: Data Preparation and Quality Check | 5 | 10 | 3. Sales Target Fixing |
| 4. Hyper Market Data | |||
| 5. Customer Attitude | |||
| 6. Continuation of Depression & anxiety | |||
| Module 4: Predictive & Estimation Models (Supervised earning) | 15 | 20 | 7 .Samsung Dubai Sales Modeling |
| 8. Credit Card Fraudulent | |||
| 9. Cancer Prediction | |||
| Module 5: Advanced Big Data Analytics | 10 | 10 | 10. Hadoop Data Clustering |
| 11. Speed Dating modeling | |||
| 12. E-commerce Customer Sentiment Analysis | |||
| Module 6: Data Mining (Machine Learning) | 5 | 15 | Above 6, 7, 8, 9, 10, 11, 12 Case studies repeat in Machine learning tools |
| Capstone project | 0 | 30 | Data to Decision Making |
| Total | 45 hours | 100 hours |
