Mitigating Biases in the Data Science Pipeline for Investment Professionals

This course introduces investment professionals to the biases in data science pipelines and ways to mitigate them. Learners see the big picture of ethical dilemmas, biases and practical issues encountered in finance-related data science projects. Learners also dive into different stages in a data science project and take a closer look at the specific biases in each stage and discuss mitigation strategies. Participants learn how practitioners take apart a machine learning model, identify potential biases, and take necessary measures to mitigate them.