Data Science in Finance

Practical machine learning, statistics, and modeling for credit and risk problems. Designed to pair with the Credit Models track.

Module 1 · eda · data-cleaning · bias

EDA for Financial Data — The Gotchas

Six ways financial data trips up exploratory data analysis: fat tails, survivorship bias, look-ahead bias, regime changes, missingness that means something, and time-zone landmines.