Welcome to our Data Science Ethics course, tailored for both practitioners and managers. In today’s world, concerns about the potential harm caused by machine learning algorithms and AI models have sparked a growing interest in data ethics. You may have come across news stories highlighting biased credit algorithms, discriminatory medical algorithms, and gender-based hiring algorithms. In many cases, the developers and implementers of these algorithms had no malicious intentions, yet their unawareness of the potential harm led to unintended consequences.

In this course, we will equip you with essential guidance and practical tools to build more responsible and ethical models, while avoiding such problems. We provide a robust framework that data scientists can employ to develop their projects, ensuring ethics is at the core of their decision-making process. Moreover, an audit process will be presented to facilitate the review of projects to mitigate harmful impacts.

Throughout the course, we’ll analyze relevant case studies, and Python code will be offered to support your understanding and application of ethical data practices.

We welcome both practitioners and managers to join us on this journey to foster responsible and ethical data science practices that benefit society as a whole.