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flagship course · GL-13

Privacy Protection Practice

Find, minimise and protect personal data in a small organisation, handle requests and breaches, and keep simple records that stand up to a check.

about this course

What you will be able to do

L4 Practitioner54 h of lessons plus practiceAbout 8 to 12 weeks part-time

Find, minimise and protect personal data in a small organisation, handle requests and breaches, and keep simple records that stand up to a check.

  • Understand Explain personal data, consent and the main privacy principles.
  • Apply Map the personal data a real small organisation holds.
  • Analyse Analyse risks and decide what to keep, change or delete.
  • Create Create a notice, a request process and a breach plan.
  • Evaluate Evaluate your work with a privacy checklist and a mock request.

Task, condition and standard

Task

Run a privacy review of one small organisation: data map, risk list, notice, request process and breach plan.

Condition

A cooperating small organisation or a practice case, a spreadsheet, a mentor with privacy experience and a peer circle. About 8 to 10 weeks part-time.

Standard

Data map covers all systems; each item has a purpose and retention time; notice in plain words; a mock request answered inside the legal deadline for your place; breach plan names owner and steps.

Who it is for: Office managers, HR and admin staff, teachers, small-business owners, support staff. Requirements: None. Materials: lesson text, worked examples, templates, rubric, 10-question check.

Safety and limits: Use practice or consented data only. This course is not legal advice: confirm duties with a qualified adviser in your place.

lesson by lesson

8 modules with worked examples

Module 1 What personal data is 4 hUnderstand

Any detail that can identify a person, alone or with other details. You will recognise ordinary details that identify a person and rank them by sensitivity, so you know which information deserves the strongest care.

  • Names, phone numbers, photos, IDs, locations and online IDs.
  • Sensitive data: health, beliefs, money, children, biometrics.
  • Anonymous data cannot be traced back to a person; pseudonymous data (names swapped for codes) can.
  • People have rights over their data.
  • Collect examples from a normal day, such as email address, phone number, photo, delivery address, device identifier, location trace and customer number. Sort them by how easily they identify someone.
  • Mark which items are especially sensitive, such as health, money or children's details, since they need stronger protection and a clearer reason to hold them.
  • Check whether a photo with a visible name tag is personal data; it is.
  • Learn the rights people have in your place, such as access and correction.
Worked example. A sports club list with name, age and allergy: the allergy makes it sensitive.

Activity. List ten data items from daily life and class each.

Standard to meet. Classify each item with a reason.

Common mistake. Thinking only names are personal data.

Second worked example. A photo, a car number and an online ID can also identify a person.

Check yourself. Which three items in your office are personal data?

Module 2 Principles 6 hUnderstand

A few core ideas guide most privacy laws. You will apply core privacy principles to a real form and remove fields you cannot justify, reducing what you hold and what could leak.

  • Lawful, fair and clear use.
  • Collect for a purpose; collect only what you need.
  • Keep it accurate and only as long as needed.
  • Keep it safe and be able to show what you did.
  • Apply the habits of collecting only what you need, using it only for the stated reason, keeping it accurate, storing it briefly and keeping it safe.
  • Test each form field by asking what would go wrong if you did not collect it; if the answer is nothing, remove the field.
  • Write the purpose beside each field; if you cannot, remove the field.
  • Train staff to ask "do I need this?" before collecting.
Worked example. A form asks for date of birth but only needs "over 18". Change the field to a tick box.

Activity. Review one real form and remove unneeded fields.

Standard to meet. Form shortened with reasons.

Common mistake. Collecting "just in case".

Second worked example. A form drops date of birth and keeps "over 18"; fewer risks.

Check yourself. Which field can you remove?

Module 3 Map the data 8 hApply

You cannot protect data you cannot find. You will build a data map covering sources, storage, access, sharing and deletion, including spreadsheets and phones where leaks often start.

  • List systems: paper, email, shared drives, apps, phones.
  • For each: data kinds, people, purpose, who sees it, where stored, how long kept.
  • Include suppliers who handle data for you.
  • Mark transfers to other countries.
  • List each data type with where it comes from, where it is stored, who can see it, who it is shared with and when it is deleted; aim for at least 8 rows to start.
  • Include informal places such as spreadsheets, chat messages, personal phones and paper files, since these are where leaks often begin.
  • Include paper files, notebooks and phone photos in the map.
  • Note who outside the organisation receives data, such as payroll or cloud tools.
Worked example. A school keeps scanned IDs in a staff email folder for six years; purpose unclear: flag for deletion.

Activity. Build a data map with at least 8 rows.

Standard to meet. Complete all rows and name the owners.

Common mistake. A data map that skips email and phones.

Second worked example. The map adds staff phones and shared mailboxes; two forgotten stores appear.

Check yourself. Which store did you almost forget?

Module 4 Risk and decisions 8 hApply

Score what could go wrong and act on the top items. You will score each data flow for likelihood and harm and fix the highest items first, so limited time goes to the biggest risks.

  • Risk = chance times harm, each 1 to 5.
  • Fix the top three first: delete, restrict, encrypt.
  • Record decisions and who made them.
  • Check suppliers' promises.
  • Score each data flow for likelihood and harm from 1 to 5, multiply, and tackle anything scoring 10 or more first with a named fix and date.
  • For new projects run a short checklist before starting: what data, why, who sees it, how long kept and what could go wrong for the person.
  • Rank risks by number of people affected as well as harm.
  • Record a date and owner for each fix.
Worked example. Unlocked cabinet of staff files: chance 3, harm 4, score 12. Control: lock, key log.

Activity. Score ten data risks and fix three.

Standard to meet. Record the fixes with dates.

Common mistake. Scoring risk once and never acting.

Second worked example. Top three fixes are done in a week with dates.

Check yourself. What fixed which risk?

Module 5 Notices and consent 8 hAnalyse

People should know what happens to their data. You will write a plain-language notice and a separate, recorded consent choice, so people understand and control what happens to their details.

  • Notice in short plain words: who, why, how long, rights, contact.
  • Consent must be clear and easy to withdraw.
  • Do not tie consent to unrelated services.
  • Children need extra care.
  • Write notices in plain language at roughly a reading age of 12, covering what you collect, why, who receives it, how long you keep it and how to contact you.
  • Make consent a separate, unticked choice where it is needed, record the date and wording shown, and make withdrawing as easy as agreeing.
  • Add a short version of the notice on forms and a longer one on the website.
  • Keep proof of when and how each consent was given.
Worked example. A newsletter box is pre-ticked: change to unticked with a clear label.

Activity. Write a one-page notice and a consent line.

Standard to meet. Write at a reading level that suits a 12-year-old.

Common mistake. A notice nobody can read.

Second worked example. A reader aged 12 explains the notice back correctly.

Check yourself. What reading age did you aim at?

Module 6 Requests from people 10 hCreate

People can ask to see, fix or delete their data. You will handle access, correction and deletion requests with a set deadline and a proportionate identity check, without exposing anyone else's data.

  • Verify who is asking without collecting more than needed.
  • Search all systems from the data map.
  • Reply within your legal deadline.
  • Keep a log of requests and outcomes.
  • Set a standard response time, such as inside the legal limit for your place, log the date every request arrives, and name one person who owns each step.
  • Verify identity in proportion to the risk before releasing anything, and check that you are not exposing someone else's details in the same file.
  • Create a template reply and a checklist of systems to search.
  • Keep requests confidential and only share what the person is entitled to.
Worked example. A request arrives on day 2; the deadline in this example is 30 days (check the real one for your place); reply drafted on day 9 with the data and a note on what was withheld and why.

Activity. Answer a mock request in time.

Standard to meet. Complete the reply and update the log.

Common mistake. Ignoring the deadline for requests.

Second worked example. Request on day 2, reply on day 9, example deadline 30 days (check yours).

Check yourself. What is your deadline?

Module 7 Security and breaches 6 hEvaluate

Basic safety stops most leaks; a plan limits harm. You will apply basic safeguards and a breach checklist, so a lost laptop or misdirected email is contained and reported methodically.

  • Passwords, second step, updates, encryption on phones and laptops.
  • Breach plan: stop, assess, tell, learn.
  • Know when and whom to tell in your place.
  • Practise once a year.
  • Apply basics such as locked devices, encrypted laptops, limited access by role and removal of leavers' accounts on their last day.
  • Write a breach checklist: stop the leak, record what happened, assess the risk to people, notify those who must be told and note the lessons.
  • Keep the contact of your regulator in the plan.
  • After a breach, write a short lessons note within a week.
Worked example. A laptop is lost: encrypted, so risk is low; log the event and replace the device.

Activity. Write a breach plan and test it with a scenario.

Standard to meet. Plan names an owner and a deadline.

Common mistake. No breach practice.

Second worked example. A lost laptop scenario shows nobody knows the owner of the plan; assign one.

Check yourself. Who is your breach owner?

Module 8 Review and keep it going 4 hCreate

Privacy is a habit. You will schedule regular map reviews and short staff refreshers, keeping privacy practice current as tools and habits change.

  • Quarterly review: new systems, new suppliers, new staff.
  • Short training for all staff.
  • Keep records of training.
  • Plan the next 90 days.
  • Review the data map every six months and after any new tool or service, and update the notice whenever the practice changes.
  • Train staff for 20 minutes twice a year using real examples from your own office, and ask each person to name one change they will make.
  • Add privacy to the checklist for new projects and suppliers.
  • Hold a five-minute reminder at staff meetings.
Worked example. New app joins in March; the review adds it to the data map and checks its terms.

Activity. Run a mock audit and plan.

Standard to meet. Audit finds fixes with dates.

Common mistake. Doing it once.

Second worked example. Quarterly review adds a new app to the map.

Check yourself. When is your next review?

case cards and glossary

Practise on cases; learn the words

Case 1. The old files

A school finds ten years of scanned IDs.

Question: What now?

Model answer: Check purpose and retention, delete what is not needed, secure what stays and update the map.

Case 2. The access request

A parent asks for all data held on their child.

Question: What steps?

Model answer: Verify identity, search all stores in the map, reply within the deadline, and log it.

Glossary

Personal data
Any detail that identifies a person.
Consent
Free, clear agreement.
Data map
A list of what data is held and where.
Retention
How long data is kept.
Breach
Loss or leak of personal data.
Data subject
The person the data is about.

assessment

How you are checked

Your evidence: data map, risk list, notice, request log, breach plan, mock audit and 90-day plan. A mentor and one peer mark it with this rubric. Pass: no criterion at 'Not yet', and at least 8 of 10 check answers right.

Marking rubric (Not yet, Meets, Exceeds)
CriterionNot yetMeetsExceeds
Data mapMissing, or claimed without a recordAll systems listedSuppliers and transfers included
Risk workMissing, or claimed without a recordTop three fixedAll high risks closed with dates
Notice and consentMissing, or claimed without a recordPlain notice writtenTested with a real reader
RequestsMissing, or claimed without a recordMock request answered in timeProcess tested twice
Breach planMissing, or claimed without a recordOwner and steps namedScenario drill done

Ten-question check, with model answers

Q1. What is personal data?

Model answer: Any detail that can identify a person, alone or with other details. (Covered in module 1: What personal data is. To pass that module: Classify each item with a reason.)

Q2. Name a sensitive data type.

Model answer: Health, beliefs, money, children or biometrics. (Covered in module 1: What personal data is. To pass that module: Classify each item with a reason.)

Q3. What is data minimisation?

Model answer: Collecting only what you need. (Covered in module 2: Principles. To pass that module: Form shortened with reasons.)

Q4. Why map data?

Model answer: You cannot protect or delete what you cannot find. (Covered in module 3: Map the data. To pass that module: Complete all rows and name the owners.)

Q5. How is risk scored?

Model answer: Chance times harm. (Covered in module 4: Risk and decisions. To pass that module: Record the fixes with dates.)

Q6. What makes consent valid?

Model answer: Clear, informed, free and easy to withdraw. (Covered in module 5: Notices and consent. To pass that module: Write at a reading level that suits a 12-year-old.)

Q7. What must a notice say?

Model answer: Who, why, how long, rights and contact. (Covered in module 5: Notices and consent. To pass that module: Write at a reading level that suits a 12-year-old.)

Q8. What is a request log for?

Model answer: Proving you answered in time. (Covered in module 6: Requests from people. To pass that module: Complete the reply and update the log.)

Q9. First step in a breach?

Model answer: Stop the leak and assess. (Covered in module 7: Security and breaches. To pass that module: Plan names an owner and a deadline.)

Q10. Is this course legal advice?

Model answer: No; confirm with a qualified adviser. (Covered in module 8: Review and keep it going. To pass that module: Audit finds fixes with dates.)

jobs this leads to

Where this takes you

  • Privacy officer assistant. Keeps records and answers requests.
  • Office or HR administrator. Handles staff and customer data.
  • School data coordinator. Protects student records.
  • Compliance support assistant. Runs checklists and training.

Next courses: Biometric Sensor and Security Solutions; DDoS and Cyber-Attack Prevention; IT Service and Support.

ten locations and global

Your place

Privacy laws and deadlines differ by place: the location notes below name the main law to check. Check your local rules with an adviser before you act for real.

India (Bengaluru)

Currency: write INR next to every number. Language: English, Hindi, Kannada. Personal data law to check: Digital Personal Data Protection Act 2023. Level frame: National Skills Qualifications Framework (NSQF) and the national credit framework. Partner to practise with: an industrial-training institute, a polytechnic, a small-business cluster or a Bengaluru incubator.

Netherlands (Eindhoven area)

Currency: write EUR next to every number. Language: Dutch, English. Personal data law to check: EU GDPR (Dutch: AVG), supervised by the Autoriteit Persoonsgegevens. Level frame: the Dutch qualification framework (NLQF) linked to the European Qualifications Framework. Partner to practise with: a regional college (MBO), a maker space or a small firm in the region.

UAE (Dubai and Abu Dhabi)

Currency: write AED next to every number. Language: Arabic, English. Personal data law to check: Federal Decree-Law No. 45 of 2021 (personal data protection). Level frame: the emirate education and training regulators (for example KHDA in Dubai) and the national qualifications framework. Partner to practise with: a free-zone business centre, a training institute or a municipality-licensed operator.

Brazil (Sao Paulo)

Currency: write BRL next to every number. Language: Portuguese (Spanish and English support). Personal data law to check: LGPD (Lei Geral de Protecao de Dados). Level frame: the national technical-education catalogue and the national S-system training bodies. Partner to practise with: a small-business support agency, a technical school or a local cooperative.

Canada (Toronto)

Currency: write CAD next to every number. Language: English, French. Personal data law to check: PIPEDA, with provincial rules where they apply. Level frame: the provincial colleges framework and the national credential-recognition guidance. Partner to practise with: a community college, a settlement agency or a Toronto business hub.

United States

Currency: write USD next to every number. Language: English, Spanish. Personal data law to check: state privacy laws (for example California), and COPPA for children under 13. Level frame: state and community-college credit systems. Partner to practise with: a community college, a workforce board or a small-business development centre.

Singapore

Currency: write SGD next to every number. Language: English, Mandarin, Malay, Tamil. Personal data law to check: Personal Data Protection Act (PDPA). Level frame: the Singapore national skills frameworks and the national credit system. Partner to practise with: a channel partner, a polytechnic or an approved training provider.

Australia

Currency: write AUD next to every number. Language: English. Personal data law to check: the Privacy Act 1988 and the Australian Privacy Principles. Level frame: the Australian Qualifications Framework (AQF) levels. Partner to practise with: a vocational college or registered training organisation, or a regional business chamber.

Hong Kong (Eastern Asia)

Currency: write HKD next to every number. Language: Chinese (Cantonese, Mandarin), English. Personal data law to check: the Personal Data (Privacy) Ordinance. Level frame: the Hong Kong Qualifications Framework. Partner to practise with: a college, training body or business chamber.

Georgia and Israel (Western Asia)

Currency: write GEL or ILS next to every number. Language: Georgian, Hebrew, Arabic, English. Personal data law to check: the personal data law of the country where the learner lives. Level frame: the national qualifications framework of that country. Partner to practise with: a local college, chamber or training body.

Cayman Islands (Caribbean)

Currency: write KYD next to every number. Language: English. Personal data law to check: the Data Protection Act. Level frame: the local education and training framework. Partner to practise with: a local training body or business chamber.

Mexico

Currency: write MXN next to every number. Language: Spanish, English. Personal data law to check: the federal law on personal data held by private parties. Level frame: the national competency certification system and the education ministry levels. Partner to practise with: a technical college or business chamber.

ladder L1 to L7

Slide by slide, with notes

Seven slides, one for each level. Step in at your level and move up; credits stack.

Slide 1. L1 Basic: Basics of privacy

On the slide: L1 Basic · Basics of privacy

Notes: Protect your own accounts and phone: check app permissions, location sharing and who can see your posts. Notes: review your phone settings and change at least three. Standard: a before and after list.

Slide 2. L2 Awareness: Awareness

On the slide: L2 Awareness · Awareness

Notes: Explain personal data, consent and the main rights people have over their data in plain words. Notes: share examples from daily life, such as a shop loyalty card or a school list. Standard: each example names the data, the purpose and who holds it.

Slide 3. L3 Foundation: Foundation

On the slide: L3 Foundation · Foundation

Notes: Map the personal data of one small system, such as a club or a shop: what is collected, why, where it is kept and who sees it. Notes: use a real club or a model shop and draw the data flow on one page. Standard: no data item without a stated purpose and an owner.

Slide 4. L4 Practitioner: Practitioner

On the slide: L4 Practitioner · Practitioner

Notes: Run a short privacy review of a small organisation: list risks, rank them and draft a plain notice. Notes: use a club or shop with its permission. Standard: five ranked risks, each with a fix, and a notice a member can understand.

Slide 5. L5 Specialist: Specialist

On the slide: L5 Specialist · Specialist

Notes: Run a privacy review of one small organisation with a data map, risk list, notice, request process and breach plan. Notes: time a mock access request from receipt to reply and run a breach drill. Standard: request answered within the legal period of the place, and breach steps tested.

Slide 6. L6 Advanced: Advanced

On the slide: L6 Advanced · Advanced

Notes: Handle complex data and suppliers: review contracts, transfers across borders and a supplier's security. Notes: add a contract checklist and a transfer record. Standard: each supplier has a written basis for the transfer and a review date.

Slide 7. L7 Super expert: Super expert

On the slide: L7 Super expert · Super expert

Notes: Set the data-mapping and privacy-review method for an organisation and teach the reviewers who use it. Notes: re-read the law for the place each year and update the notice, request and breach templates.

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Draft flagship. Own wording; no outside brand, school or person names. Not live.

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