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Career and Master's Admission Preparation
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Module 1
Reproducible Quantitative Data Workflows
1
Creating a Reproducible Python Research Environment
Create a reproducible Python research environment with pinned dependencies and version control.
2
Cleaning and Validating Market Time-Series Data
Audit and resolve missing observations, duplicate timestamps, corporate-action artifacts, and anomalous values in market time-series data.
3
Calculating Simple and Logarithmic Returns
Transform adjusted market prices into simple and logarithmic return series.
4
Leak-Free Alignment and Resampling of Financial Time Series
Align and resample multiple financial time series without introducing future information.
5
Vectorizing Financial Calculations with NumPy and pandas
Replace explicit Python loops with NumPy broadcasting and vectorized pandas operations in financial calculations.
6
SQL Window Queries for Rolling and Cross-Sectional Financial Calculations
Write SQL window queries for rolling and cross-sectional financial calculations.
7
Exploring Return Distributions, Dependence, and Volatility Regimes
Visualize return distributions, dependence, and volatility regimes for exploratory analysis.
8
Unit Testing for Market-Data Pipeline Error Detection
Write unit tests that detect errors in a market-data pipeline.
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