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Data Analytics Level I on Python for quant nance, data structures (Dataframe), NumPy for Numerical Analysis, Pandas for Financial Time Series Anal- ysis, data visualization. Outcome: likely for Arbitrage Trading and Portfolio Construction Machine Learning Level II on Python for quant nance, capabilities of scikit-learn libary with Python (OLS ... ................
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