
Applied Data Science
Sonpvh, 2022

1
1. Introduction
2. Application
3. EDA
4. Learning Process
5. Bias –Variance TradeOff
6. Regression
7. Classification
8. Validation
9. Regularization
10. Clustering
11. Evaluation
12. Deployment
13. Ethics

3 -10 days
Online Application <3 days
Lead Generation Fraud Detection/
Identify Verification Credit Scoring Product Customization
Propensity
Segmentation
eKYC
Cross Verification
Customer Loan Paper Authentication Appraisal Disbursement

3
World bank, Korean Office,
2020 [1]
Forbes, 2020 [2] Exton Research, 2021 [3]