External Course

DSA ADS Course - 2023

Discuss simple rules for data analysis, traps and techniques to mitigate errors. Discuss quality and veracity of data/evidence.

Discuss counterfactuals, causality and applied probability theory.

Discuss scenario planning for applied data science using near real-time data to adjust tactics to achieve specific goals.

Discuss strategy vs. tactics and methods to set appropriate goals. Introduction to strategy.

Understand difference between research data science and applied data science.

February, 2022

Introduction

DSA ADS Course - 2023

This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.

Discuss experiments in evolution and learning as applied to financial markets: descriptive, individual decision, and field experiments.

DSA ADS Course - 2023

This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.

Discuss evolutionary finance, financial time series, asset pricing, efficient markets, behavioral finance, market microstructure, genetic algorithms, neural networks, artificial financial markets, and evolutionary computation.

DSA ADS Course - 2023

This DSA ADS course is part of a series of courses that demonstrate how to use applied data science with high performance compute and high quality data to optimize decision making in real world investing / trading scenarios.

Discuss how to use applied data science to make optimal capital allocation decisions.

Discuss capital allocation decisions for investors / traders. How to assess management's capital allocation skills? Discuss asset allocation, asset selection, and rebalancing.