Data Governance, Quality, Privacy & Analytics Ethics is simply a system way of 11 lessons that build a complete, interview-ready knowing of the topic. Work done them successful order, past usage the quiz and flashcards successful each instruction to revise.
What this people covers
- Why Governance Exists: Trust arsenic the Real Deliverable - What governance is really protecting, and what happens to analytics without it.
- Data Ownership, Stewardship & Definitions That Hold - Who owns a metric definition, and really disagreements get settled successful practice.
- Data Quality Dimensions and How to Measure Them - Completeness, accuracy, consistency, timeliness and validity, each made measurable.
- Data Lineage, Cataloguing & Documentation - Tracing a number backmost to source, and documenting truthful the adjacent expert tin too.
- Master Data Management & Reconciling Conflicting Sources - When 2 systems disagree astir the aforesaid customer, and really that gets resolved.
- Access Control, Anonymisation & Handling Sensitive Fields - Masking, aggregation thresholds and role-based entree applied to analytics data.
- India's Data Protection Law: What Analysts Must Design For - The obligations the Digital Personal Data Protection Act places connected analytics work.
- Consent, Purpose Limitation & Data Retention successful Practice - Designing study that stays wrong the intent the information was collected for.
- Bias, Proxy Discrimination & Fairness successful Models - How a exemplary discriminates without utilizing a protected attribute, and really to trial for it.
- Explainability & Accountability for Automated Decisions - What must beryllium explainable erstwhile a exemplary affects a person, and who answers for it.
- Case Study: An Analytics Project Reviewed for Privacy and Ethics - A real-shaped task taken done a afloat privateness and fairness review.
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