Lesson proof
Concept, demo, checklist, lab, and assignment evidence.
Python / HPC / Cloud / Research Data / Scientific Computing Engineer
Scientific Computing on Cloud
Apply cloud and Python to scientific computing, simulation, HPC concepts, geospatial data, healthcare and bioinformatics pipelines, climate analytics, and research reproducibility.
Scientific Python portfolioCloud research pipeline designReproducible analysis evidence
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
Scientific Python with NumPy SciPy and pandasLesson + portfolio pack + CV evidenceReproducible research environmentsLesson + portfolio pack + CV evidenceSimulation and numerical modellingLesson + portfolio pack + CV evidenceCloud HPC batch and GPU workloadsLesson + portfolio pack + CV evidenceGeospatial and satellite data processingLesson + portfolio pack + CV evidenceBioinformatics and healthcare data pipelinesLesson + portfolio pack + CV evidenceClimate energy and environmental analyticsLesson + portfolio pack + CV evidenceResearch data governance and ethicsLesson + 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.
scientific-computing-cloud.scientific-python-with-numpy-scipy-and-pandas.01 / 13% weight
Apply Scientific Python with NumPy SciPy and pandas decisions to Scientific Computing Engineer scenarios
Implementation proof
- Define Scientific Python with NumPy SciPy and pandas in plain language and explain the provider service family it belongs to.
- Show how Scientific Python with NumPy SciPy and pandas 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
scientific-computing-cloud.reproducible-research-environments.02 / 13% weight
Apply Reproducible research environments decisions to Scientific Computing Engineer scenarios
Implementation proof
- Define Reproducible research environments in plain language and explain the provider service family it belongs to.
- Show how Reproducible research environments 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
scientific-computing-cloud.simulation-and-numerical-modelling.03 / 13% weight
Apply Simulation and numerical modelling decisions to Scientific Computing Engineer scenarios
Implementation proof
- Define Simulation and numerical modelling in plain language and explain the provider service family it belongs to.
- Show how Simulation and numerical modelling 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
scientific-computing-cloud.cloud-hpc-batch-and-gpu-workloads.04 / 13% weight
Apply Cloud HPC batch and GPU workloads decisions to Scientific Computing Engineer scenarios
Implementation proof
- Define Cloud HPC batch and GPU workloads in plain language and explain the provider service family it belongs to.
- Show how Cloud HPC batch and GPU workloads 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
scientific-computing-cloud.geospatial-and-satellite-data-processing.05 / 13% weight
Apply Geospatial and satellite data processing decisions to Scientific Computing Engineer scenarios
Implementation proof
- Define Geospatial and satellite data processing in plain language and explain the provider service family it belongs to.
- Show how Geospatial and satellite data processing 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
scientific-computing-cloud.bioinformatics-and-healthcare-data-pipelines.06 / 13% weight
Apply Bioinformatics and healthcare data pipelines decisions to Scientific Computing Engineer scenarios
Implementation proof
- Define Bioinformatics and healthcare data pipelines in plain language and explain the provider service family it belongs to.
- Show how Bioinformatics and healthcare data pipelines 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
scientific-computing-cloud.climate-energy-and-environmental-analytics.07 / 13% weight
Apply Climate energy and environmental analytics decisions to Scientific Computing Engineer scenarios
Implementation proof
- Define Climate energy and environmental analytics in plain language and explain the provider service family it belongs to.
- Show how Climate energy and environmental 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
scientific-computing-cloud.research-data-governance-and-ethics.08 / 9% weight
Apply Research data governance and ethics decisions to Scientific Computing Engineer scenarios
Implementation proof
- Define Research data governance and ethics in plain language and explain the provider service family it belongs to.
- Show how Research data governance and ethics 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 reproducible Python environments, notebooks, datasets, version control, and clear assumptions.
Practise numerical, geospatial, healthcare, climate, and simulation workflows that produce defensible scientific evidence.
Connect cloud compute choices to cost, performance, data governance, privacy, ethics, and repeatability.
Hands-on labs
Create a reproducible scientific Python notebook with environment file, dataset notes, charts, and conclusions.
Design a cloud batch or HPC workflow for simulation jobs with inputs, outputs, logging, cost, and retry strategy.
Process a geospatial or environmental dataset and explain coordinate, resolution, quality, and uncertainty issues.
Write a research data governance checklist covering privacy, consent, retention, lineage, access, and reproducibility.
Track learning assets
Templates and revision tools for this path.
Exam blueprint checklistScientific Computing on Cloud
Weekly study plannerScientific Computing on Cloud
Command and service cheat sheetScientific Computing on Cloud
Architecture pattern cardsScientific Computing on Cloud
Flashcard revision setScientific Computing on Cloud
Mock exam review sheetScientific Computing on Cloud
Lab evidence templateScientific Computing on Cloud
Interview story builderScientific Computing on Cloud
Portfolio project rubricScientific Computing on Cloud
Final readiness checklistScientific Computing on Cloud
Practice questions
Why does scientific computing need reproducible environments?
Reproducible environments make it possible for another researcher or engineer to rerun the analysis with the same dependencies, data assumptions, and results.
Why should cloud HPC workloads include cost controls?
HPC and GPU jobs can scale quickly and become expensive, so queues, quotas, budgets, job limits, and cleanup controls are essential.