Ethics and Law in Data and Analytics

Analytics and AI are powerful tools that have real-word outcomes. Learn how to apply practical, ethical, and legal constructs and scenarios so that you can be an effective analytics professional.

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Created by: Nathan Colaner

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Course Description

Corporations, governments, and individuals have powerful tools in Analytics and AI to create real-world outcomes, for good or for ill.
Data professionals today need both the frameworks and the methods in their job to achieve optimal results while being good stewards of their critical role in society today.
In this course, you'll learn to apply ethical and legal frameworks to initiatives in the data profession. You'll explore practical approaches to data and analytics problems posed by work in Big Data, Data Science, and AI. You'll also investigate applied data methods for ethical and legal work in Analytics and AI.
edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.

Intermediate Level

Time: 6 Weeks - 2-3 hours per week

Instructor Details

Nathan Colaner

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Teaching, writing, and mentoring in business ethics have been the greatest joys of my professional life. Although I have realized, as many academics before me have, that there is a kind of satisfaction you can find only by directly impacting your community for good. So in addition to my role as Instructor at Seattle University, I have co-founded Digital Dignity Consulting, which addresses what will become one of the most important questions of the 21st century: what are the ethical and legal issues that businesses should consider when managing big data and machine learning?