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Data Privacy Course
More than 2 million students worldwide

Data Privacy Course

Master the full spectrum of data privacy — from regulatory frameworks and individual rights to breach response and privacy by design. This course equips privacy professionals, compliance officers, and data governance teams with the practical skills to build and run a defensible privacy program. Stop reacting to privacy issues and start preventing them.

Dedika for businesses

What you will learn:

You will learn how to classify personal data, apply global privacy principles, and establish governance structures that hold up under regulatory scrutiny. The course covers lawful bases for data processing, cross-border transfer mechanisms, and how to operationalize data subject rights at scale. You will conduct privacy impact assessments, design consent architectures, and embed privacy requirements into product development from day one. Breach response planning, regulatory notification obligations, and post-incident improvement are covered in full. You will also explore privacy in AI, IoT, and marketing analytics, and learn how to measure program maturity and report results to executive leadership.

How you study in practice Data Privacy Course

How you practice Data Privacy Course

For companies that want to train their team

With Dedika for Business, the course includes exercises and examples tailored to your own business and the way your company needs.

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Course content

8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of Data Privacy

  • Lesson 1 • Privacy Harms and Business Impact

    Examines tangible harms from privacy failures, including reputational, financial, and social consequences. Motivates the business case for proactive privacy management.

  • Lesson 2 • Key Privacy Stakeholders

    Maps roles such as data subjects, controllers, processors, and regulators. Clarifies accountability relationships used throughout the course.

  • Lesson 3 • What Is Data Privacy

    Defines privacy as a right and organizational obligation, distinguishing it from security and confidentiality. Sets the conceptual baseline for the entire course.

  • Lesson 4 • Types of Personal Data

    Categorizes personal, sensitive, and derived data with real-world examples. Enables accurate data classification in later chapters.

Chapter 2See details

Global Privacy Regulatory Landscape

  • Lesson 1 • Cross-Border Data Transfers

    Covers mechanisms that enable lawful international data flows, including adequacy decisions and contractual safeguards. Prepares students for global data governance challenges.

  • Lesson 2 • Regional Regulatory Approaches

    Compares comprehensive, sectoral, and co-regulatory models used across different regions. Helps students anticipate compliance requirements in multinational contexts.

  • Lesson 3 • Regulatory Enforcement and Penalties

    Analyzes how regulators investigate, sanction, and enforce privacy obligations. Reinforces the business impact concepts introduced in Chapter 1.

  • Lesson 4 • Legal Bases for Processing Data

    Explains consent, contract, legitimate interest, and other lawful bases for processing personal data. Directly supports compliance decision-making in Chapter 3.

  • Lesson 5 • Core Privacy Principles Across Frameworks

    Identifies shared principles—lawfulness, purpose limitation, data minimization—common to most frameworks. Provides a universal lens for analyzing any regulation.

Chapter 3See details

Data Governance and Accountability

  • Lesson 1 • Records of Processing Activities

    Explains how to create and maintain processing records as an accountability tool. Provides the data inventory foundation needed for risk assessments in Chapter 5.

  • Lesson 2 • Privacy Policies and Notices

    Covers drafting clear, accurate privacy notices and internal policies aligned with regulatory requirements. Connects legal bases from Chapter 2 to transparent communication.

  • Lesson 3 • Vendor and Third-Party Management

    Establishes due diligence and contractual controls for processors and sub-processors. Extends accountability obligations beyond organizational boundaries.

  • Lesson 4 • Privacy Training and Awareness

    Designs role-based training programs that build a privacy-aware culture. Supports the human element of governance alongside structural controls.

  • Lesson 5 • Privacy Governance Structures

    Defines governance models, committees, and reporting lines that embed privacy into organizational decision-making. Establishes the structural foundation for all compliance activities.

Chapter 4See details

Individual Rights Management

  • Lesson 1 • Rights Management Technology

    Evaluates tools and platforms that automate rights request intake, tracking, and fulfillment. Scales manual processes for high-volume environments.

  • Lesson 2 • Fulfillment Workflows and Timelines

    Maps step-by-step fulfillment processes with deadline tracking and escalation paths. Translates regulatory timelines into operational procedures.

  • Lesson 3 • Receiving and Verifying Requests

    Designs intake channels and identity verification procedures that balance accessibility with fraud prevention. Ensures valid requests are distinguished from illegitimate ones.

  • Lesson 4 • Exemptions and Refusals

    Identifies lawful grounds for refusing or limiting rights fulfillment and documents refusal decisions. Prevents over-compliance that conflicts with other legal obligations.

  • Lesson 5 • Catalog of Data Subject Rights

    Enumerates rights to access, rectification, erasure, restriction, portability, and objection. Provides the complete rights inventory that subsequent sections operationalize.

Chapter 5See details

Consent and Preference Management

  • Lesson 1 • Preference Centers and Withdrawal

    Designs user-facing preference centers that allow granular control and easy withdrawal. Ensures withdrawal is as simple as giving consent.

  • Lesson 2 • Anatomy of Valid Consent

    Breaks down the legal and ethical elements that make consent valid under major frameworks. Grounds all subsequent consent design decisions in principle.

  • Lesson 3 • Consent Records and Audit Trails

    Specifies what consent records must capture and how to store them for regulatory proof. Connects to the records management practices established in Chapter 3.

  • Lesson 4 • Consent Across the Data Lifecycle

    Manages consent validity as data purposes evolve, including re-consent triggers and purpose drift. Integrates consent management with data lifecycle governance.

  • Lesson 5 • Consent Collection Mechanisms

    Compares opt-in, opt-out, and layered consent models across web, mobile, and offline contexts. Enables channel-appropriate consent design.

Chapter 6See details

Privacy Risk Assessment

  • Lesson 1 • Privacy Risk Fundamentals

    Defines privacy risk in terms of likelihood and severity of harm to data subjects. Establishes the risk vocabulary used throughout the assessment process.

  • Lesson 2 • Risk Treatment and Mitigation

    Selects and applies technical and organizational controls to reduce identified privacy risks. Connects risk findings to actionable remediation plans.

  • Lesson 3 • Conducting a Privacy Impact Assessment

    Walks through the full assessment lifecycle from scoping to sign-off using a structured methodology. Builds on data mapping records created in Chapter 3.

  • Lesson 4 • Screening and Threshold Analysis

    Applies screening criteria to determine when a full privacy impact assessment is required. Prevents unnecessary assessments while ensuring high-risk processing is always evaluated.

  • Lesson 5 • Monitoring and Reassessment

    Establishes triggers and schedules for reassessing privacy risks as systems and contexts change. Embeds continuous risk management into operational practice.

Chapter 7See details

Privacy by Design and by Default

  • Lesson 1 • Integrating Privacy into Development

    Embeds privacy requirements into agile, waterfall, and DevOps development processes. Translates principles into engineering team workflows.

  • Lesson 2 • Data Minimization Techniques

    Applies technical strategies to collect only necessary data at the point of design. Operationalizes the minimization principle from Chapter 2.

  • Lesson 3 • Privacy by Design Principles

    Introduces the seven foundational principles of privacy by design and their practical implications. Provides the conceptual framework applied in all subsequent sections.

  • Lesson 4 • Anonymization and Pseudonymization

    Evaluates anonymization and pseudonymization techniques for their effectiveness and re-identification risk. Provides technical tools for reducing data sensitivity.

  • Lesson 5 • Privacy in Procurement and Architecture

    Applies privacy requirements to vendor selection, system architecture, and infrastructure decisions. Extends privacy by design beyond internal development to third-party systems.

Chapter 8See details

Data Breach Response and Management

  • Lesson 1 • Regulatory Notification Obligations

    Maps notification timelines, content requirements, and submission processes for regulatory authorities. Applies legal bases from Chapter 2 to breach notification decisions.

  • Lesson 2 • Breach Identification and Classification

    Defines what constitutes a personal data breach and classifies incidents by type and severity. Enables rapid, accurate triage that drives all subsequent response decisions.

  • Lesson 3 • Individual Notification Decisions

    Determines when and how to notify affected data subjects, balancing harm prevention with communication clarity. Builds on rights management skills from Chapter 4.

  • Lesson 4 • Containment and Initial Response

    Executes immediate containment actions to limit harm and preserve evidence. Coordinates the cross-functional response team activated at breach detection.

  • Lesson 5 • Post-Breach Review and Improvement

    Conducts root cause analysis and translates findings into updated controls and training. Closes the loop between breach response and the privacy by design practices of Chapter 7.

Certification

Your valid completion certificate

This course is for you:

  • Compliance officer: needs a structured privacy framework beyond general regulatory knowledge.

  • HR or legal professional: increasingly responsible for data handling decisions at work.

  • IT or security analyst: wants to bridge the gap between technical controls and privacy obligations.

  • Marketing operations manager: must align customer data practices with tightening privacy expectations.

  • Career changer: moving from an unrelated field into privacy, governance, or data roles.

  • Small business owner: personally accountable for how customer and employee data is managed.

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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