Data Science Ethics

Course Overview

Welcome to the Data Science Ethics course! In this course, you will learn about the ethical considerations regarding the privacy and control of consumer information and big data. You will explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency. You will also gain a deeper understanding of the importance of a shared set of ethical values, the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems, best practices for responsible data management, the significance of the Fair Information Practices Principles Act and the laws concerning the "right to be forgotten."

By taking this course, you will gain a better understanding of the ethical implications of collecting and managing big data. You will learn about who owns data, how to value privacy, how to receive informed consent and what it means to be fair. This course is beneficial for data scientists and anyone beginning to use or expand their use of data. No particular previous knowledge is needed. With this course, you will be able to make more informed decisions when it comes to data science and its ethical implications.

Completing this course can open up a variety of possible development paths in your career or education. You can use the knowledge you gain to become a data scientist, a data analyst, a data engineer, or a data privacy specialist. You can also use this course to further your understanding of data science and its ethical implications. Additionally, you can use this course to gain a better understanding of the laws and regulations surrounding data privacy and security. Related learning suggestions include courses on data science, data engineering, data analytics, and data privacy.