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Coursera

Protect Privacy & Compliance

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Overview

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Privacy isn't just a compliance requirement—it's a competitive advantage that builds customer trust while unlocking data insights. This Short Course was created to help data analysis professionals accomplish the critical balance between privacy protection and analytical utility in AI systems. By completing this course, you'll be able to implement differential privacy mechanisms, evaluate compliance against major regulations, and create actionable remediation plans that protect both data subjects and business objectives. By the end of this course, you will be able to: Apply differential privacy techniques with measurable privacy budgets Evaluate privacy-accuracy trade-offs in real business scenarios Conduct comprehensive GDPR/CCPA compliance audits Design strategic remediation roadmaps for compliance gaps This course is unique because it bridges technical privacy implementation with regulatory compliance, providing hands-on experience with industry-standard tools and frameworks. To be successful in this project, you should have a background in data analysis and basic familiarity with privacy regulations.

Syllabus

  • Module 1: Differential Privacy Application - Foundation
    • Apply differential-privacy noise to query outputs and measure privacy budget consumption (ε - epsilon).
  • Module 2: Privacy Accuracy Evaluation - Core Application
    • Evaluate whether privacy techniques maintain required analytical accuracy for a marketing segmentation task.
  • Module 3: Regulatory Compliance Analysis - Integration
    • Analyze a model against GDPR/CCPA requirements, document lawful-basis mapping, and generate an audit report.
  • Module 4: Compliance Gap Remediation - Assessment
    • Evaluate compliance gaps and create a remediation roadmap with prioritized actions.

Taught by

Hurix Digital

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