Objective. Students will summarize the key requirements of major US and international privacy regulations and identify which requirements apply to a given data-analytics scenario.
This lesson, its worked examples and its practice questions has not yet been verified by an industry-certified professional or by a certification or approval body. It is a study draft and may contain errors. Do not use it as instructions for work on a job site or on live equipment. Always follow your instructor, your supervising professional, and current official references and regulations.
VoTechWorks program approval and accreditation are still in progress. Credentials are issued only by the certifying bodies named in each program, after their own exams.
Every time a data analyst builds a model, cleans a dataset, or publishes a dashboard, they are handling information about real people. Mishandling that information can harm individuals, expose organizations to substantial penalties, and destroy public trust. Privacy law is not just a compliance checkbox — it is a professional obligation. As an analyst, you must know which laws govern your data before you write a single line of code or run a single query.
The United States does not have a single, comprehensive federal privacy statute. Instead, protection is organized by sector (health, education, children) and by state. Federal agencies such as the Federal Trade Commission (FTC) enforce baseline rules against deceptive or unfair data practices. On top of federal floors, some states — most notably California — have enacted broad consumer-privacy laws. International partners such as the European Union have their own frameworks that reach US organizations when those organizations handle EU residents' data.
HIPAA applies to covered entities (health plans, healthcare clearinghouses, most healthcare providers) and their business associates (any vendor or contractor that creates, receives, maintains, or transmits protected health information on their behalf). The key protected category is Protected Health Information (PHI) — individually identifiable health data in any form, including electronic (ePHI).
Core requirements for analysts:
FERPA protects education records — records directly related to a student that are maintained by an educational agency or institution receiving federal funding. Parents hold rights until the student turns 18, after which rights transfer to the student.
Core requirements for analysts:
COPPA, enforced by the FTC, applies to operators of websites or online services directed to children under 13, or any operator with actual knowledge that it is collecting personal information from children under 13.
Core requirements for analysts:
The CCPA (effective 2020) gave California consumers significant rights over their personal information. The CPRA (effective 2023) strengthened and expanded those rights and created the California Privacy Protection Agency (CPPA) to enforce the law.
CCPA/CPRA applies to for-profit businesses meeting certain thresholds (annual revenue, volume of consumers' personal information processed, or revenue derived from selling personal information — check the current statutory thresholds, as they may be updated).
Key consumer rights:
For analysts, this means data pipelines must be designed to honor deletion requests and data-subject access requests within the statutory timeframes, and data inventories must be maintained to respond accurately.
The GDPR is EU law, but it has extraterritorial reach: it applies to any organization — including US companies — that processes personal data of EU residents in connection with offering goods or services to them, or monitoring their behavior.
Key principles: lawfulness, fairness, transparency; purpose limitation; data minimization; accuracy; storage limitation; integrity and confidentiality; and accountability.
Lawful bases for processing include consent, contract, legal obligation, vital interests, public task, and legitimate interests. Analytics work most often relies on consent or legitimate interests, both of which require careful documentation.
Data-subject rights under GDPR include the right to access, rectification, erasure ("right to be forgotten"), restriction of processing, data portability, and the right to object to automated decision-making including profiling.
Penalties under GDPR can be substantial — the regulation specifies two tiers of maximum fines based on a percentage of global annual turnover. Consult current GDPR text for exact figures, as enforcement decisions evolve.
Data privacy law is a professional safety system for the people whose data you handle. Treat a privacy obligation the way a technician treats a lockout/tagout procedure: do not skip steps because they seem inconvenient. Before starting any analytics project, complete a data inventory, identify all applicable regulations, document your legal basis for processing, and involve your organization's privacy officer or legal counsel when in doubt. Breaching privacy law does not only harm your employer — it can cause real harm to real people.
Answer each question, then check it. Nothing is recorded; this is your own practice.
A free tech program — complimentary, as our commitment to get America working. Help us build VoTechWorks. Tell us what works, what doesn’t, and what you want to learn.
Does the school offer financial aid?
No. We don’t offer financial aid because we’re free. No, really: completely free.
Do you offer industry certification?
No. We are not certified yet, so we can’t offer that to students. What we do offer is knowledge and understanding of a trade.
Enroll first in the trade you’re interested in. You get your key, your program opens, and you begin studying.
Enroll free →