Protect Privacy & Compliance

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Protect Privacy & Compliance

This course is part of AI Techniques, Causal Inference & Business Optimization Specialization

Instructor: Hurix Digital

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Privacy-utility balance is measurable and manageable through systematic approaches like differential privacy budgeting.
Regulatory compliance requires technical implementation aligned with legal frameworks, not just policy documentation.
Risk-based prioritization transforms overwhelming compliance requirements into executable roadmaps.
Proactive privacy design prevents costly remediation and builds sustainable competitive advantages.

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Build your subject-matter expertise

This course is part of the AI Techniques, Causal Inference & Business Optimization Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

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.

Apply differential-privacy noise to query outputs and measure privacy budget consumption (ε - epsilon).

What's included

1 video1 reading1 assignment1 ungraded lab

1 video Total 3 minutes

Implementing Differential Privacy with Python Libraries 3 minutes

1 reading Total 12 minutes

Differential Privacy Fundamentals: Mathematical Foundations for Business Applications 12 minutes

1 assignment Total 6 minutes

Differential Privacy Fundamentals Assessment 6 minutes

1 ungraded lab Total 20 minutes

Privacy Budget Management in Customer Analytics 20 minutes

Evaluate whether privacy techniques maintain required analytical accuracy for a marketing segmentation task.

What's included

2 videos1 reading1 assignment

Analyze a model against GDPR/CCPA requirements, document lawful-basis mapping, and generate an audit report.

What's included

1 video1 reading2 assignments

Evaluate compliance gaps and create a remediation roadmap with prioritized actions.

What's included

1 video1 reading3 assignments

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Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Hurix Digital

Coursera

379 Courses 30,687 learners

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