Public and corporate concern about bias and other unintended harmful effects resulting from data science models has resulted in greater attention to the ethical practice of data science. This course, for both data science practitioners and managers, provides guidance and practical tools to build better models and avoid these problems. The course offers a framework to follow in implementing data science projects, and an audit process to follow in reviewing them. Case studies along with R and Python code are provided.
Mr. Grant Fleming
Grant Fleming is a Data Scientist at Elder Research and co-author (with Peter Bruce) of the Responsible Data Science (Wiley, 2021). His professional focus is on machine learning for social science applications, model explainability, and building tools for reproducible data science. Previously, Grant was a research contractor for USAID. Mr. Grant Fleming is a Data Scientist at Elder Research and co-author (with Peter Bruce) of The Responsible Data Science.