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Data Science Ethics 

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Data Science Ethics
 at 
Coursera 
Overview

Duration

13 hours

Start from

Start Now

Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Data Science Ethics
 at 
Coursera 
Highlights

  • Flexible Deadlines: Start instantly and learn at your own schedule.
  • Offered by University of Michigan
  • A great course for learning Data Science
  • Certification Course
Read more
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Data Science Ethics
 at 
Coursera 
Course details

Skills you will learn
What are the course deliverables?
  • Shareable Certificates
  • Self-Paced Learning Option
  • Course Videos & Readings
  • Practice Quizzes
  • Graded Assignments with Peer Feedback
  • Graded Quizzes with Feedback
  • Graded Programming Assignments
More about this course
  • This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values. You will examine the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems while also learning best practices for responsible data management, understanding the significance of the Fair Information Practices Principles Act and the laws concerning the "right to be forgotten."

Data Science Ethics
 at 
Coursera 
Curriculum

What are Ethics?

History, Concept of Informed Consent

Data Ownership

Privacy

Anonymity

Data Validity

Algorithmic Fairness

Societal Consequences

Code of Ethics

Attributions

Data Science Ethics
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Students Ratings & Reviews

    4/5
    Verified Icon1 Rating
    R
    Rahul Kumar Samal
    Data Science Ethics
    Offered by Coursera
    4
    Learning Experience: Data science EDA and various other data cleaning techniques
    Faculty: Instructors taught well I liked the teaching
    Course Support: No career support provided
    Reviewed on 4 Jun 2022Read More
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    Data Science Ethics
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