Data Privacy
As a critical area of both computer science and data science, data privacy concerns the principles and practices for safeguarding sensitive personal information. It establishes the rules for how data is collected, used, stored, and shared, ensuring compliance with legal regulations and ethical standards. Computer science contributes the technical mechanisms for enforcement, such as encryption, anonymization, and secure architectures, while in the context of data science, it provides the essential framework for responsibly handling datasets to derive insights without compromising an individual's right to privacy.
- Introduction to Data Privacy
- Defining Data Privacy
- Core Concepts
- Importance of Data Privacy
- Historical Context and Evolution