Data Science Ethics: Addressing Big Data Challenges
Explore ethical implications of big data and data science, covering privacy, fairness, and societal impact.
Explore ethical implications of big data and data science, covering privacy, fairness, and societal impact.
This course provides a comprehensive framework for analyzing ethical considerations in data science, focusing on the privacy and control of consumer information in the era of big data. Designed for beginners and practicing data scientists, it covers crucial topics such as data ownership, privacy, anonymity, algorithmic fairness, and societal consequences of data-driven decisions. Through case studies and practical examples, learners will explore the principles of ethical data management, informed consent, and the broader impact of data science on modern society. The course emphasizes the importance of maintaining a shared set of ethical values while leveraging the power of data analytics.
4.7
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What you'll learn
Understand the ethical implications of collecting and managing big data
Explore the concept of informed consent in human subjects research
Analyze issues related to data ownership and privacy in the digital age
Examine the challenges of maintaining anonymity in data-driven systems
Evaluate data validity and potential biases in data science methods
Investigate algorithmic fairness and its impact on decision-making
Skills you'll gain
This course includes:
5 Hours PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 10 modules in this course
This course provides a comprehensive exploration of ethical considerations in data science, covering a wide range of topics from privacy and informed consent to algorithmic fairness and societal consequences. It is designed to equip learners with the knowledge and framework to navigate the complex ethical landscape of big data and modern data analytics. Through a combination of theoretical concepts, case studies, and practical examples, the course addresses key issues such as data ownership, anonymity, data validity, and the broader implications of data-driven decision-making. Learners will develop a critical understanding of the ethical challenges posed by data science and gain insights into responsible data management practices.
What are Ethics?
Module 1 · 1 Hours to complete
History, Concept of Informed Consent
Module 2 · 1 Hours to complete
Data Ownership
Module 3 · 1 Hours to complete
Privacy
Module 4 · 1 Hours to complete
Anonymity
Module 5 · 1 Hours to complete
Data Validity
Module 6 · 1 Hours to complete
Algorithmic Fairness
Module 7 · 1 Hours to complete
Societal Consequences
Module 8 · 1 Hours to complete
Code of Ethics
Module 9 · 1 Hours to complete
Attributions
Module 10 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Leader in Data Science and Ethics
Dr. H.V. Jagadish is the Bernard A. Galler Collegiate Professor of Electrical Engineering and Computer Science at the University of Michigan and a Distinguished Scientist at the Michigan Institute for Data Science (MIDAS). He holds a Ph.D. in computer science and has made significant contributions to the fields of data management, data science, and causal inference. As a Fellow of the ACM, Dr. Jagadish has also served on the Board of Directors for the Computing Research Association and was a Trustee of the Very Large Database Endowment.His research focuses on equity issues in data science and artificial intelligence, emphasizing the ethical implications of data use. Dr. Jagadish is known for developing the first MOOC on Data Science Ethics, which explores the ethical considerations surrounding big data and its societal impacts. He teaches courses such as "Data Science Ethics," where students learn about privacy, fairness, and the broader consequences of data-driven decision-making. With over 200 major papers published and numerous patents, Dr. Jagadish continues to influence the discourse on responsible data practices and the importance of ethics in technology development.
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4.7 course rating
1,074 ratings
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