Lesson proof
Concept, demo, checklist, lab, and assignment evidence.
Product Management / Data / AI / Data Product Manager
Data Product Manager
Build data product management capability across strategy, discovery, metrics, analytics requirements, AI opportunities, governance, experimentation, stakeholder alignment, and delivery evidence.
Data product strategyAnalytics roadmap evidenceStakeholder-ready product proof
Start domain mock testPlatform-wide module outputs
Every module now feeds portfolio proof and CV readiness.
Portfolio pack
Requirement, artifact, validation, risk note, and interview story.
CV signal
Role-specific skill statement linked to a score or artifact.
Review queue
Submitted evidence can support dashboard, readiness, and career exports.
Open materials
Data product management foundationsLesson + portfolio pack + CV evidenceData strategy outcomes and value propositionsLesson + portfolio pack + CV evidenceUser discovery for data and AI productsLesson + portfolio pack + CV evidenceNorth Star metrics KPIs and product analyticsLesson + portfolio pack + CV evidenceData requirements events and tracking plansLesson + portfolio pack + CV evidenceDashboard decision products and insight storytellingLesson + portfolio pack + CV evidenceExperimentation A/B testing and causal thinkingLesson + portfolio pack + CV evidenceData governance privacy quality and trustLesson + portfolio pack + CV evidenceAI opportunity framing and responsible adoptionLesson + portfolio pack + CV evidenceRoadmapping prioritization and stakeholder alignmentLesson + portfolio pack + CV evidenceProduct delivery rituals and operating cadenceLesson + portfolio pack + CV evidenceData product portfolio capstoneLesson + portfolio pack + CV evidence
Certification objective coverage
Every provider-aligned module is connected to a lesson, labs, mock questions, and implementation proof.
This is the track-level audit view for blueprint alignment. Exact exam wording should still be checked against the current official provider guide before public exam-code claims are made.
data-product-manager.data-product-management-foundations.01 / 8% weight
Apply Data product management foundations decisions to Data Product Manager scenarios
Implementation proof
- Define Data product management foundations in plain language and explain the provider service family it belongs to.
- Show how Data product management foundations is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
data-product-manager.data-strategy-outcomes-and-value-propositions.02 / 8% weight
Apply Data strategy outcomes and value propositions decisions to Data Product Manager scenarios
Implementation proof
- Define Data strategy outcomes and value propositions in plain language and explain the provider service family it belongs to.
- Show how Data strategy outcomes and value propositions is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
data-product-manager.user-discovery-for-data-and-ai-products.03 / 8% weight
Apply User discovery for data and AI products decisions to Data Product Manager scenarios
Implementation proof
- Define User discovery for data and AI products in plain language and explain the provider service family it belongs to.
- Show how User discovery for data and AI products is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
data-product-manager.north-star-metrics-kpis-and-product-analytics.04 / 8% weight
Apply North Star metrics KPIs and product analytics decisions to Data Product Manager scenarios
Implementation proof
- Define North Star metrics KPIs and product analytics in plain language and explain the provider service family it belongs to.
- Show how North Star metrics KPIs and product analytics is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
data-product-manager.data-requirements-events-and-tracking-plans.05 / 8% weight
Apply Data requirements events and tracking plans decisions to Data Product Manager scenarios
Implementation proof
- Define Data requirements events and tracking plans in plain language and explain the provider service family it belongs to.
- Show how Data requirements events and tracking plans is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
data-product-manager.dashboard-decision-products-and-insight-storytelling.06 / 8% weight
Apply Dashboard decision products and insight storytelling decisions to Data Product Manager scenarios
Implementation proof
- Define Dashboard decision products and insight storytelling in plain language and explain the provider service family it belongs to.
- Show how Dashboard decision products and insight storytelling is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
data-product-manager.experimentation-a-b-testing-and-causal-thinking.07 / 8% weight
Apply Experimentation A/B testing and causal thinking decisions to Data Product Manager scenarios
Implementation proof
- Define Experimentation A/B testing and causal thinking in plain language and explain the provider service family it belongs to.
- Show how Experimentation A/B testing and causal thinking is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
data-product-manager.data-governance-privacy-quality-and-trust.08 / 8% weight
Apply Data governance privacy quality and trust decisions to Data Product Manager scenarios
Implementation proof
- Define Data governance privacy quality and trust in plain language and explain the provider service family it belongs to.
- Show how Data governance privacy quality and trust is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
data-product-manager.ai-opportunity-framing-and-responsible-adoption.09 / 8% weight
Apply AI opportunity framing and responsible adoption decisions to Data Product Manager scenarios
Implementation proof
- Define AI opportunity framing and responsible adoption in plain language and explain the provider service family it belongs to.
- Show how AI opportunity framing and responsible adoption is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
data-product-manager.roadmapping-prioritization-and-stakeholder-alignment.10 / 8% weight
Apply Roadmapping prioritization and stakeholder alignment decisions to Data Product Manager scenarios
Implementation proof
- Define Roadmapping prioritization and stakeholder alignment in plain language and explain the provider service family it belongs to.
- Show how Roadmapping prioritization and stakeholder alignment is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
data-product-manager.product-delivery-rituals-and-operating-cadence.11 / 8% weight
Apply Product delivery rituals and operating cadence decisions to Data Product Manager scenarios
Implementation proof
- Define Product delivery rituals and operating cadence in plain language and explain the provider service family it belongs to.
- Show how Product delivery rituals and operating cadence is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
data-product-manager.data-product-portfolio-capstone.12 / 12% weight
Apply Data product portfolio capstone decisions to Data Product Manager scenarios
Implementation proof
- Define Data product portfolio capstone in plain language and explain the provider service family it belongs to.
- Show how Data product portfolio capstone is implemented through a guided configuration, simulator, command, diagram, notebook, or case study.
- Capture evidence with screenshots, command output, logs, metrics, topology state, policy review, query result, or troubleshooting notes.
- Connect the evidence to a portfolio pack, CV-ready skill statement, and mock-test weak-domain recovery action.
Evidence requirements
- Correct scenario decision in mock exam
- Written explanation of the key requirement or constraint
- Hands-on lab evidence or troubleshooting proof
- Portfolio pack with requirement, artifact, validation, risk note, and interview story
- CV-ready skill statement linked to a score, artifact, or project result
Test readiness
Mock test by domain
Practice every domain in this track with exam-style questions, answer keys, and explanations.
Open mock testMost in-demand certification materials
High-value certificates connected to this track.
CompTIA
CompTIA Security+
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Entry security, cloud security fundamentals, and broad IT baseline roles.
CompTIA Security+ is mapped to platform lessons and labs, but still needs a dated official-source review.
- Security terminology flashcards
- Risk, identity, encryption, network, and incident-response checklist
- Scenario questions covering least privilege, logging, malware, and secure operations
AWS
AWS Certified Cloud Practitioner (CLF-C02)
CurrentLast verified: 2026-06-24Next review: 2026-09-22
Beginners and career switchers who need cloud concepts, pricing, shared responsibility, global infrastructure, and core AWS service literacy.
CLF-C02 was verified against the official AWS certification page on 2026-06-24. Keep this source check on the 90-day review cadence.
AWS official-source stamp
Foundational / CLF-C02
Official domain weighting
Cloud Concepts24%
Security and Compliance30%
Cloud Technology and Services34%
Billing, Pricing, and Support12%
Lab focus
- Service-family mapping
- Shared responsibility
- IAM baseline
- Billing and support signals
Readiness gates
- Foundation lessons complete
- Core AWS service map complete
- Billing/security quiz passed
- Cleanup evidence captured
- Cloud concepts, global infrastructure, billing, support, and shared-responsibility notes
- AWS compute, storage, database, networking, security, monitoring, and pricing service map
- Foundation scenario drills for service selection, cost awareness, and cloud adoption
PeopleCert / ITIL
ITIL Foundation Version 5
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Support, operations, service desk, cloud operations, and team-lead learners who need service value, incident, change, SLA, and continual improvement fluency.
ITIL Foundation Version 5 is mapped to platform lessons and labs, but still needs a dated official-source review.
- Service value system, value chain, guiding principles, and practice vocabulary map
- Incident, problem, change, request, service level, knowledge, and continual improvement drills
- Service review evidence pack with tickets, SLA metrics, improvement actions, and stakeholder communication
GitHub
GitHub Foundations
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Software, DevOps, cloud, data, and AI learners proving repository workflow, collaboration, issues, pull requests, and portfolio evidence.
GitHub Foundations is mapped to platform lessons and labs, but still needs a dated official-source review.
- Repository, commit, branch, pull request, issue, release, and project-board checklist
- Code review, branch protection, README, and portfolio repository quality rubric
- Workflow scenario drills for collaboration, review, release notes, and change history
Google Skillshop
Google Analytics Certification
Needs reviewLast verified: Not verifiedNext review: Provider source review required
Design, marketing, product, and business learners who need GA4 events, conversions, audiences, acquisition, and reporting fluency.
Google Analytics Certification is mapped to platform lessons and labs, but still needs a dated official-source review.
- GA4 event, conversion, UTM, audience, report, and attribution vocabulary map
- Measurement plan and dashboard checklist for websites, campaigns, and landing pages
- Optimization scenario drills connecting traffic, conversion, content, and campaign decisions
Certification provider connections
Connect this learning path to the official exam provider.
CompTIA Certification
CompTIA Security+
Use CompTIA objectives as the checklist, then connect Security+, Network+, or Cloud+ progress to the learner dashboard.
Booking partner: Pearson VUE
- Create or confirm the CompTIA account.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
AWS Certification
AWS Certified Cloud Practitioner (CLF-C02)
Use the AWS Certification account to review exam guides, book exams, manage score reports, and share verified badges.
Booking partner: Pearson VUE or PSI, depending on exam and region
- Create or confirm the AWS Certification account.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
PeopleCert
ITIL Foundation Version 5
Connect ITIL and service-management readiness to the learner's exam booking, certificate proof, and renewal reminders.
Booking partner: PeopleCert
- Create or confirm the PeopleCert account.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
GitHub Certifications
GitHub Foundations
Connect repository, Actions, security, and collaboration evidence to certification readiness and portfolio exports.
Booking partner: GitHub exam delivery partner
- Create or confirm the GitHub account.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
Google Skillshop
Google Analytics Certification
Use Skillshop for Google product credentials and connect analytics or marketing evidence to learner progress.
Booking partner: Google Skillshop
- Create or confirm the Google Skillshop profile.
- Review the official exam guide, ID policy, delivery options, and reschedule rules.
- Add target exam date, booking status, renewal date, and certificate proof to the learner record.
01 Match
Map each Daskerel track to the official provider, exam code, registration page, and verification route.
02 Prepare
Use provider objectives with Daskerel lessons, mock exams, labs, and evidence packs before booking.
03 Book
Send learners to the official scheduling partner while keeping target dates and next actions in the dashboard.
04 Verify
Capture certificate URL, badge, expiry, renewal plan, and portfolio proof after the learner passes.
Study plan
Start with the business decision, learner or customer job, measurable outcome, and data trust boundary before choosing dashboards, models, or features.
Practise writing product briefs, event taxonomies, KPI trees, experiment plans, governance notes, and stakeholder narratives.
Turn every module into evidence: a roadmap, metric definition, tracking plan, insight report, decision log, and product review artifact.
Hands-on labs
Create a data product brief with user segment, decision problem, value proposition, outcome metric, data sources, and adoption risk.
Build a KPI tree for a subscription learning platform with activation, engagement, readiness, retention, revenue, and trust signals.
Write an analytics tracking plan covering events, properties, identity rules, consent notes, quality checks, and reporting ownership.
Design a dashboard decision product with audience, questions, filters, alerts, narrative, governance, and refresh cadence.
Prioritize a backlog of analytics and AI opportunities using value, confidence, effort, risk, dependency, and evidence criteria.
Package a portfolio case study with product brief, roadmap, metrics, dashboard mock, experiment plan, governance note, and executive update.
Track learning assets
Templates and revision tools for this path.
Exam blueprint checklistData Product Manager
Weekly study plannerData Product Manager
Command and service cheat sheetData Product Manager
Architecture pattern cardsData Product Manager
Flashcard revision setData Product Manager
Mock exam review sheetData Product Manager
Lab evidence templateData Product Manager
Interview story builderData Product Manager
Portfolio project rubricData Product Manager
Final readiness checklistData Product Manager
Practice questions
What should a Data Product Manager define before asking for a dashboard or model?
They should define the user decision, business outcome, metric, data source, trust requirement, delivery constraint, and evidence that will prove the product changed behavior.
Why does a data product need governance as well as analytics?
Governance protects trust by clarifying data ownership, quality, privacy, access, definitions, lineage, and acceptable use so decisions are based on reliable information.
How should AI opportunities be prioritized in a product roadmap?
Prioritize AI opportunities by user value, measurable impact, data readiness, risk, explainability, operational cost, compliance needs, and the team's ability to validate outcomes safely.