Y3 - Business Analytics

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1. Week 2
2. The first case - Netflix
3. Decisions and Data-analytical Thinking
4. Here's how it works:
5. Automatic data-driven decisions (DDD)
6. Data analytic thinking for employees and managers
7. Data analytics as a strategic asset
8. All about predictive analysis
9. Let’s talk about the data set
10. Supervised vs. Unsupervised
11. Parametric vs. Non-parametric
12. A look back at regression
13. Simple Linear Regression
14. Use data to estimate coefficients
15. Hypothesis Testing
16. T-statistic and P-values
17. Assessing Prediction Accuracy
18. Potential issues in predictive modeling
19. Model Overfitting
20. Model complexity, variance-bias tradeoff, over-under fitting
21. The Holdout apporach
22. K-fold Cross Validation
23. How to choose the best set of predictors?