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University of Michigan Online Course on Data Science Ethics

Tony Orji by Tony Orji
January 18, 2016
in Uncategorized
Reading Time: 7min read
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University of Michigan’s MOOC, ‘Data Science Ethics’ brings unique experience to students around the globe through a process of online learning unequaled anywhere. This 5 weeks course is for everyone, including data scientists, will benefit from this course.
In this free online course applicants will learn how to think through the ethics surrounding privacy, data sharing, and algorithmic decision-making. The course starts on May 1, 2016.

Course At A Glance

Length: 5 weeks course
Effort: 2 – 3 hours/week
Subject: Data Science Ethics
Institution: University of Michigan & edX.
Languages: English
Price:  Free
Certificate Available: Yes. Verified Certificate for $ 49
Session: Starts May 1, 2016

Providers Details

The University of Michigan created the Office of Digital Education & Innovation to shape the future of learning and redefine public residential education at a 21st century research university by unlocking new opportunities and enabling personalized, engaged, and lifelong learning for the U-M community and learners around the world.
edX offers amazing quality classes by the best professors from the best schools.  edX mission is to increase access to high-quality education for everyone, everywhere.

About This Course 

This course focused on ethics specifically related to data science will provide you with the framework to analyze these concerns. This framework is based on ethics, which are shared values that help differentiate right from wrong. Ethics are not law, but they are usually the basis for laws.
Many data scientists learn the tools of the trade and get down to work right away, without appreciating the possible consequences of their work.

 Why Take This Course

Applicants will be offered this free online course in the English language. MichiganX courses draw from 101 academic programs ranked in the top 10 and align with strategic institutional priorities such as interdisciplinary collaborations, diversity and inclusion, access and affordability, and internationalization.
Video Transcripts are also available in English. Applicants will get a verified certificate to highlight the knowledge and skills they gain.

Learning Outcomes

After completing this course, students will learn:
-Who owns data
-How we value different aspects of privacy
-How we get informed consent
-What it means to be fair

Instructors

H. V. Jagadish
Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science at the University of Michigan, and Distinguished Scientist at the Michigan Institute for Data Science.

Requirements

Applicants should have the ability to think critically about the morality of one’s decisions and the impact on others.

How To Join This Course

1.Go to the course website link
2.Create an edX account to SignUp
3.Choose “Register Now” to get started.
4.EdX offers honor code certificates of achievement, verified certificates of achievement, and XSeries certificates of achievement. Currently, verified certificates are only available in some courses.
5.Once you sign up for a course and activate your account, click on the Log In button on the edx.org home page and type in your email address and edX password. This will take you to your dashboard, with access to each of your active courses. (Before a course begins, it will be listed on your dashboard but will not yet have a “view course” option).
Read More
https://www.edx.org/course/data-science-ethics-michiganx-ds101x#!


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Tony Orji

Tony Orji

Dr. Tony Orji is the founder and owner of Success Tonics Blog. He is a Senior Lecturer at the Department of Economics, University of Nigeria, Nsukka.

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About Dr. Anthony Orji

Dr. Anthony Orji

Senior Lecturer

Dr Anthony Orji is a Ph.D holder in Economics and a lecturer at the Department of Economics, University of Nigeria Nsukka.

He obtained his B.Sc, Msc and Ph.D Degrees from the University of Nigeria, Nsukka and a Post Graduate Diploma in Sustainable Local Economic Development (SLED) from Erasmus University, Rotterdam Netherlands.

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