0|
Modules |
Training |
Practice |
Case Studies |
|
Module 2: Data Visualization and Summarization |
10 |
15 |
1. Crime Data |
|
2. Depression & anxiety |
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3. Customer Demographic Data |
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|
Module 3: Data Preparation and Quality Check |
5 |
10 |
3. Sales Target Fixing |
|
4. Hyper Market Data |
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5. Customer Attitude |
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|
6. Continuation of Depression & anxiety |
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|
Module 4: Predictive & Estimation Models (Supervised earning) |
15 |
20 |
7 .Samsung Dubai Sales Modeling |
|
8. Credit Card Fraudulent |
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|
9. Cancer Prediction |
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|
Module 5: Advanced Big Data Analytics |
10 |
10 |
10. Hadoop Data Clustering |
|
11. Speed Dating modeling |
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|
12. E-commerce Customer Sentiment Analysis |
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|
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 |
