The Objectives page says that the rest of the class is about
- what we're going to do with the data. producing and improving a model. applied econometrics (ie more conceptual than mathematical rigor) to understand and improve the output
- understanding the how "data analysis/ML/<<buzz word #51>>" fit into the bigger picture of producing and using our domain knowledge of from finance. to quote Prof Gunther: data < info < knowledge < wisdom
- learning from the model: what does the output of my analysis mean? (A and B are related, but WHY)
So that's what we're going to do. We have enough raw tools and you should have (nearly) completed your first farm-to-table analysis (scrap, clean, and process the data) for Assignment 5.
Over the next month, we going to look at
This should be fun!