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Introduction to Data Ethics
4.8(2,500)19k studentsBEGINNEREnglish
Korshub's take
The Korshub Take
This introductory course provides a comprehensive exploration of ethical principles across every stage of the data lifecycle. It equips learners with actionable skills to foster transparency, protect user privacy, and minimize algorithmic bias in corporate and research environments.
Who It's For
Data professionals, researchers, managers, and students seeking to integrate ethical decision-making into data collection, analysis, and AI development.
Key Takeaways
- Data & AI Ethics Principles: Explore how ethical standards promote fairness, transparency, and social good.
- Lifecycle Governance: Address data protection, security, and trust across all stages of data handling.
- Mitigating Bias: Identify and minimize sources of bias in datasets and analytical models.
- Practical Documentation: Learn practical skills including drafting informed consent forms and auditing ethical impact.
About this course
Explore the Basics of Data Ethics
This introductory course on data ethics will provide learners with the essentials of data ethics concepts and what they mean in practice- be it in business, R&D, or for societal benefit. The course covers the principles of data ethics, its relationship with AI ethics, and its characteristics across the different stages of the data lifecycle.Learn the Art of Data Ethics Principles
The course highlights how data ethics can promote fairness, reduce biases, and promote social good while addressing data protection, security, trust, and transparency. Learners will gain practical skills, including drafting informed consent forms and identifying the ethical impacts of data operations. By the end of the course, learners will have an essential understanding of data ethics. The course will equip them to identify and improve data ethics-related situations professionally and personally.Advertisement