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Ethics and Law in Data and Analytics

Microsoft via edX

1 Review 80 students interested
  • Provider edX
  • Subject Law
  • Cost Free Online Course (Audit)
  • Session Self Paced
  • Language English
  • Certificate $99 Certificate Available
  • Effort 2-3 hours a week
  • Start Date
  • Duration 6 weeks long
  • Learn more about MOOCs

Taken this course? Share your experience with other students. Write review

Overview

This course is part of the Microsoft Professional Program Certificate in Data Science and  Microsoft Professional Program in Artificial Intelligence.

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.

Taught by

Ben Olsen , Geneva Lasprogata and Nathan Colaner

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Review for edX's Ethics and Law in Data and Analytics
1.0 Based on 1 reviews

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Dissipate D
1.0 a year ago
by Dissipate is taking this course right now, spending 1 hours a week on it and found the course difficulty to be easy.
This course covers legal and ethical issues in data analysis, and touches on specific areas where data analysis is used such as employment and school admissions. It also prescribes lab exercises, which I am not sure are that important to the concepts to be taught.

Nonetheless, this is an area that is developing and is very interesting. It could have been very interesting. Unfortunately the lecturers were very dry and boring, it felt like they were reading off a book which I could read myself. I dropped out after an hour into lectures.
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