Complete data protection system A-Z in 16 steps (GDPR, CIPM)

Complete data protection system A-Z in 16 steps (GDPR, CIPM), available at $39.99, has an average rating of 4.58, with 212 lectures, based on 237 reviews, and has 1030 subscribers.

You will learn about Create a GDPR-standard data protection system in any environment Save time and resources with an efficient method to protect privacy Identify, assess, implement and maintain compliance with data protection laws Carry out risk analysis and data protection impact assessment like a professional Protect personal data against a security breach Manage data protection breaches Prepare contract clauses to regulate data flows with your clients, contractors and partners Apply privacy by design and by default in practice Write useful policies, procedures and records Build employee awareness and commitment Prepare for an inspection This course is ideal for individuals who are Managers who want to create or improve their data protection system or Data Protection Officers who want to work efficiently and develop skills or Heads of departments processing a lot of personal data (HR, marketing, IT) or Anyone who wants to hear from an expert, how a data protection system should work It is particularly useful for Managers who want to create or improve their data protection system or Data Protection Officers who want to work efficiently and develop skills or Heads of departments processing a lot of personal data (HR, marketing, IT) or Anyone who wants to hear from an expert, how a data protection system should work.

Enroll now: Complete data protection system A-Z in 16 steps (GDPR, CIPM)

Summary

Title: Complete data protection system A-Z in 16 steps (GDPR, CIPM)

Price: $39.99

Average Rating: 4.58

Number of Lectures: 212

Number of Published Lectures: 212

Number of Curriculum Items: 212

Number of Published Curriculum Objects: 212

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Create a GDPR-standard data protection system in any environment
Save time and resources with an efficient method to protect privacy
Identify, assess, implement and maintain compliance with data protection laws
Carry out risk analysis and data protection impact assessment like a professional
Protect personal data against a security breach
Manage data protection breaches
Prepare contract clauses to regulate data flows with your clients, contractors and partners
Apply privacy by design and by default in practice
Write useful policies, procedures and records
Build employee awareness and commitment
Prepare for an inspection

Who Should Attend

Managers who want to create or improve their data protection system
Data Protection Officers who want to work efficiently and develop skills
Heads of departments processing a lot of personal data (HR, marketing, IT)
Anyone who wants to hear from an expert, how a data protection system should work

Target Audiences

Managers who want to create or improve their data protection system
Data Protection Officers who want to work efficiently and develop skills
Heads of departments processing a lot of personal data (HR, marketing, IT)
Anyone who wants to hear from an expert, how a data protection system should work

I will cover the necessary steps where you prepare, identify, assess, implement and apply data protection principles at your firm. You will receive an editable resource to gather in one place as much information as possible.

It does not matter whether you work for a business, charity or a state institution. It does not matter, whether you are self-employed, work for a medium business, or for international capital group – we will cover all the known issues.

Completing all the steps will bring your compliance level higher than 99% of businesses. I am not giving a legal advice or doing your job, but I am sharing my practical experience to make your compliance as easy as possible.

4 deliverables of this course

GDPR standard, the highest data protection standard
A-Z: implementation and maintenance phases in 16 steps
Practical examplesof how to implement GDPR requirements
Checklists & templatesto make your job easy as possible

4 foundations of this course

You get compliant, not just listen about compliance
This course is for every organization
You will not experiment, but avoid mistakes
Do not get just tools or knowledge, but follow steps

16 steps to make sure all data protection measures are in place and function well

Identify data processing purposes
Identify data processing details
Identify assets
Identify process & asset owners
Assess controller’s processes
Assess processor’s processes
Assess information security
Assess general obligations
Model controller’s processes
Model processor’s processes
Manage security risks
Comply with general duties
Prepare general policies
Prepare SOPs
Adopt, publish & train
Execute, maintain & review

My course has clear structure, so you will easily see and find the points we are covering. Each time you need to take steps on your data protection system, you will get a checklist to make sure you cover anything you need. With that said, let’s get right into the job!

Course Curriculum

Chapter 1: Preview

Lecture 1: Preview

Chapter 2: Get ready to go

Lecture 1: 5 reasons to take care of your data protection system

Lecture 2: Motivator 1: liability

Lecture 3: Motivator 2: reputation

Lecture 4: Motivator 3: time-effectiveness

Lecture 5: Motivator 4: cost-effectiveness

Lecture 6: Motivator 5: respect for data subjects

Lecture 7: Support from management & stakeholders

Lecture 8: 10 differences between a privacy-careless firm and your goals

Lecture 9: Difference 1: purposes for data processing

Lecture 10: Difference 2: scope of personal data processed

Lecture 11: Difference 3: verification and updating

Lecture 12: Difference 4: retention

Lecture 13: Difference 5: likelihood of a security breach

Lecture 14: Difference 6: severity of violation

Lecture 15: Difference 7: data subject rights

Lecture 16: Difference 8: formal compliance

Lecture 17: Difference 9: transparency

Lecture 18: Difference 10: evidence

Lecture 19: The organization you will service

Lecture 20: Meaning of organization’s context

Lecture 21: Where to write down the answers?

Lecture 22: Brief description of organization’s activity

Lecture 23: Applicable laws & standards

Lecture 24: How to consider local and detailed laws?

Lecture 25: Estimated total number of data subjects

Lecture 26: Locations where data are processed

Lecture 27: What your project will look like?

Lecture 28: Steps

Lecture 29: Phase 1: identify

Lecture 30: Phase 2: assess

Lecture 31: Phase 3: implement

Lecture 32: Phase 4: apply

Lecture 33: Start acting!

Lecture 34: The privacy team

Lecture 35: Governance model

Lecture 36: How to prepare the project?

Lecture 37: Kick-off meeting

Lecture 38: After the kick-off meeting

Lecture 39: To send to interlocutors (processes)

Lecture 40: To send to interlocutors (assets)

Lecture 41: To send to interlocutors (general obligations)

Chapter 3: Step 1: Identify data processing purposes

Lecture 1: Mode of operation

Lecture 2: Processes and processing

Lecture 3: Typical processes (controller)

Lecture 4: Typical processes (processor)

Lecture 5: Purposes v. processes

Lecture 6: Whose the purposes are?

Lecture 7: Which questionnaires to use?

Lecture 8: Processing activities (controller’s questionnaire)

Lecture 9: Joint controllers (controller’s questionnaire)

Lecture 10: Processing purposes (controller’s questionnaire)

Lecture 11: Typical purposes (add more details if possible)

Lecture 12: Controller(s) (processor’s questionnaire)

Lecture 13: Processing activities & purposes (processor’s questionnaire)

Chapter 4: Step 2: Identify data processing details

Lecture 1: Categories of data subjects (controller’s questionnaire)

Lecture 2: Typical categories of data subjects

Lecture 3: Categories of personal data (controller’s questionnaire)

Lecture 4: Typical categories of ‘ordinary’ personal data

Lecture 5: Special categories of personal data

Lecture 6: Categories of recipients (controller’s questionnaire)

Lecture 7: Typical categories of recipients

Lecture 8: Transfers outside the European Economic Area

Lecture 9: Typical cases of transfer outside the EEA

Lecture 10: Envisaged time limits for data erasure (controller’s questionnaire)

Lecture 11: Typical time limits for data erasure

Lecture 12: General description of security measures

Lecture 13: Transfers outside the EEA (processor’s questionnaire)

Lecture 14: Providing guarantees for controller(s)

Chapter 5: Step 3: Identify assets

Lecture 1: Mode of operation

Lecture 2: How to group identified assets?

Lecture 3: Locations & areas

Lecture 4: Typical assets (locations & areas)

Lecture 5: Typical safeguards (locations & areas)

Lecture 6: Equipment

Lecture 7: Typical assets (equipment)

Lecture 8: Typical safeguards (equipment)

Lecture 9: Networks & servers

Lecture 10: Typical assets (networks & servers)

Lecture 11: Typical safeguards (networks & servers)

Lecture 12: Websites

Lecture 13: Typical assets (websites)

Lecture 14: Typical safeguards (websites)

Lecture 15: Software

Lecture 16: Typical assets (software)

Lecture 17: Typical safeguards (software)

Lecture 18: Digital files (unstructured)

Lecture 19: Typical assets (digital files)

Lecture 20: Typical safeguards (digital files)

Lecture 21: Printed documents

Lecture 22: Typical assets (printed documents)

Lecture 23: Typical safeguards (printed documents)

Lecture 24: Staff

Lecture 25: Typical assets (staff)

Lecture 26: Typical safeguards (staff)

Instructors

Dr Paweł Mielniczek
Advocate, PhD in law

Rating Distribution

1 stars: 0 votes
2 stars: 5 votes
3 stars: 24 votes
4 stars: 77 votes
5 stars: 131 votes

Frequently Asked Questions

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