Lecture 5: Sampling Case Studies and Complex Data Operations¶
PDF Version | Google Slides Version
Learning Outcomes:
Identify sampling designs and bias in real research studies.
Apply advanced data manipulation techniques.
Activities:
Analyze case studies (Tuskegee Syphilis, Cambridge Analytica).
Perform complex data operations.
Lecture 6: Data Anonymization and Privacy Regulations¶
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Learning Outcomes:
Apply anonymization techniques in data.
Explain the role of privacy regulations in data ethics.
Activities:
Case study walkthroughs focused on ethical data handling.
Discussion 3: Ethical Considerations in Data Analysis¶
PDF Version | Google Slides Version
Learning Outcomes:
Recognize data’s role in reinforcing power structures.
Understand the limitations and transparency issues in data-based decision-making.
Activities:
Engage in discussions on algorithmic bias and data ethics.
Lab 3: Advanced Data Manipulation and Privacy Techniques¶
PDF Version | Google Slides Version
Jupyter Notebook on Github
Learning Outcomes:
Apply data anonymization techniques.
Conduct complex data manipulations.
Project/Homework Part 3: Anonymization Techniques and Data Privacy¶
Jupyter Notebook on Github
Learning Outcomes:
Apply custom data anonymization techniques.
Process data with a focus on regulatory compliance.
Activities:
Complete exercises related to data privacy and regulation.