Ethical Issues in Data Science

University of Colorado Boulder via Coursera

Coursera

23 Courses


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Overview

Explore the intersection of ethics and technology with the University of Colorado Boulder's "Ethical Issues in Data Science" course, offered through Coursera. This thought-provoking course delves into the profound impact that data science and computing applications have on society, spanning from internet recommendations to online privacy, security, healthcare, and beyond. With a keen focus on the integration of artificial intelligence and machine learning, students will engage in critical discussions, analyze case studies, and review scholarly articles to navigate the ethical landscapes encountered in the data science profession.

Designed for both new and experienced data science professionals, this course aims to cultivate an ethical mindset, essential for addressing challenges that emerge in the rapidly evolving digital world. Participants will benefit from the rich, interdisciplinary curriculum of CU Boulder’s Master of Science in Data Science (MS-DS) degree, tapping into expertise from the departments of Applied Mathematics, Computer Science, Information Science, and others. This program, ideal for individuals from various educational and professional backgrounds, requires no application process and bases admission on performance.

Join a community of forward-thinking individuals committed to ethical data science practices. Discover more about the MS-DS program and how you can contribute to shaping a responsible digital future by visiting CU Boulder’s MS-DS degree page.

Categories include: Ethics Courses, Data Science Courses, Cybersecurity Courses.

Syllabus


Taught by

Bobby Schnabel


Tags

united states

provider Coursera

Coursera

1274 Courses


Coursera

pricing Free Online Course (Audit)
language English
duration 24 hours
sessions On-Demand
level Beginner