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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.
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.
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.
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.
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.
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.
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.
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.
Write unit tests that detect errors in a market-data pipeline.
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