Course Summary
This course explores the ethical issues surrounding data science, including privacy, bias, and transparency. Students will learn about the impact of data science on society and how to make ethical decisions when working with data.Key Learning Points
- Understand the ethical considerations of data science
- Learn how to identify and address bias in data
- Explore the impact of data on society and how to make ethical decisions
- Understand the importance of transparency in data science
Job Positions & Salaries of people who have taken this course might have
- USA: $113,309
- India: ₹1,264,000
- Spain: €42,000
- USA: $113,309
- India: ₹1,264,000
- Spain: €42,000
- USA: $67,377
- India: ₹592,000
- Spain: €26,000
- USA: $113,309
- India: ₹1,264,000
- Spain: €42,000
- USA: $67,377
- India: ₹592,000
- Spain: €26,000
- USA: $70,000
- India: ₹1,100,000
- Spain: €38,000
Related Topics for further study
Learning Outcomes
- Develop an understanding of the ethical considerations in data science
- Learn how to identify and address bias in data
- Understand the impact of data on society and how to make ethical decisions
Prerequisites or good to have knowledge before taking this course
- A basic understanding of data science concepts
- Familiarity with programming languages such as Python and R
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Data Science: Foundations using R
- Data Science Methodology
Related Education Paths
Notable People in This Field
- Data Scientist
- Sociologist
Related Books
Description
What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches?
Outline
- What are Ethics?
- Data Science Ethics - Course Preview
- What are Ethics?
- Data Science Needs Ethics
- Case Study: Spam (not the meat)
- Course Syllabus
- Welcome Announcement
- Help us learn more about you!
- What are Ethics? - Introduction
- Module 1 Quiz
- History, Concept of Informed Consent
- Human Subjects Research and Informed Consent: Part 1
- Human Subjects Research and Informed Consent: Part 2
- Limitations of Informed Consent
- Case Study: It's Not OKCupid
- Module 2 Quiz
- Data Ownership
- Data Ownership
- Limits on Recording and Use
- Data Ownership Finale
- Case Study: Rate My Professor
- Case Study: Privacy After Bankruptcy
- Module 3 Quiz
- Privacy
- Privacy
- History of Privacy
- Degrees of Privacy
- Modern Privacy Risks
- Case Study: Targeted Ads
- Case Study: The Naked Mile
- Case Study: Sneaky Mobile Apps
- Privacy - Introduction
- Module 4 Discussion Prompt References
- Module 4 Quiz
- Anonymity
- Anonymity
- De-identification Has Limited Value: Part 1
- De-identification Has Limited Value: Part 2
- Case Study: Credit Card Statements
- Module 5 Quiz
- Data Validity
- Validity
- Choice of Attributes and Measures
- Errors in Data Processing
- Errors in Model Design
- Managing Change
- Case Study: Three Blind Mice
- Case Study: Algorithms and Race
- Case Study: Algorithms in the Office
- Case Study: GermanWings Crash
- Case Study: Google Flu
- Data Validity - Introduction
- Module 6 Quiz
- Algorithmic Fairness
- Algorithmic Fairness
- Correct But Misleading Results
- P Hacking
- Case Study: High Throughput Biology
- Case Study: Geopricing
- Case Study: Your Safety Is My Lost Income
- Algorithmic Fairness - Introduction
- Module 7 Quiz
- Societal Consequences
- Societal Impact
- Ossification
- Surveillance
- Case Study: Social Credit Scores
- Case Study: Predictive Policing
- Societal Consequences - Introduction
- Module 8 Quiz
- Code of Ethics
- Code of Ethics
- Wrap Up
- Case Study: Algorithms and Facial Recognition
- Post-Course Survey
- Module 9 Quiz
- Attributions
- Week 1 Attributions
- Week 2 Attributions
- Week 3 Attributions
- Week 4 Attributions
- Keep Learning with Michigan Online
Summary of User Reviews
The Data Science Ethics course on Coursera has received positive reviews from users. Many users have found the course to be informative and engaging. The course covers a wide range of topics related to data ethics and provides practical examples and case studies to illustrate key concepts.Key Aspect Users Liked About This Course
The course provides practical examples and case studies to illustrate key concepts.Pros from User Reviews
- Informative and engaging course content
- Wide range of topics covered
- Practical examples and case studies provided
- Experienced and knowledgeable instructors
- Flexible scheduling and pacing options
Cons from User Reviews
- Some users found the course to be too basic
- Lack of interactive elements in the course
- Limited opportunities for peer interaction and feedback
- Relatively high cost compared to other online courses
- Course materials could be more organized and structured
H.V. Jagadish
4.8 Raiting
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