Paid PractitionerCertificate

Fleet Data & Performance Monitoring

How to turn a fleet's data exhaust into an asset that survives audits, disputes and Monday-morning decisions, from noon-report failure modes and validation discipline, through the regulators' granularity ratchet, to an architecture that ends in triggers people act on.

Lessons
8
Quiz questions
65
Exercises
1 (10 min)
Calculators
3
Time
About 79 min
Price
€179+ VAT
Certificate
Graded final exam, then a PDF certificate with a number anyone can verify
Who it's for
Technical superintendents, performance analysts, fleet managers: anyone who owns a monitoring budget, signs off an emissions report, or has to choose between building and buying a fleet data system.
Assumed knowledge
None strictly. Our course The Road to Efficiency sketches this territory at walking pace; comfort with basic performance ideas helps, but everything here is built from the ground up.
Taught by

Christos Papandreou

CEO & Founder, Blue Autonomy

  • Naval architect and marine engineer, National Technical University of Athens
  • 15 years of experience in fleet performance and operational data
  • Chief Scientific Officer, NEMO, previously DeepSea Technologies, StormGeo, Athenian Sea Carriers, PwC

Part of the Vessel Performance Analyst I: Measuring Performance specialisation.

What you will be able to do

By the end of the course. Each outcome names the lessons that deliver it, and the final exam samples every one of them.

  1. Argue the case for fleet data as an asset in the accountant's sense: what unusable data costs in decisions, disputes and analyst time, and why quality rather than volume decides what a fleet can know. Lesson 1
  2. Match noon reporting and high-frequency autologging to what each can and cannot support, recognising the failure modes of manual reporting and treating sensor upkeep as part of the asset. Lesson 2
  3. Apply the engineering habits that make fleet analysis defensible: validation at ingestion, flag-don't-delete outlier handling, unit and timestamp discipline, gap accounting, and versioned pipelines. Lesson 3
  4. Design fuel-consumption collection once, split by consumer group and underway state with its application dates, so that IMO DCS, EU/UK MRV and FuelEU are all served from the same records. Lesson 4
  5. Use AIS and other external data competently for benchmarking, congestion and voyage verification, with the scepticism its manual fields and spoofing history demand, and read ABS SMART and BV NR675 notations as procurement checklists a vendor can be held to. Lessons 5, 6
  6. Lay out the six layers of a fleet data system, weigh build against buy honestly, and close the loop: triggers people act on in place of dashboards nobody reads, and the feedback that keeps ships reporting well. Lessons 7, 8

Every fleet is a data business; most just run it badly. Industry research puts the sector's digital maturity around half-scale: fleets collecting far more than they can use, with no two ships describing the same event the same way. This course is about closing that gap with discipline rather than software licences.

What is inside: the honest capabilities of noon reports and high-frequency autologging, and the failure modes of each; the engineering habits, validation rules, unit and timestamp discipline, gap handling, versioned pipelines, that make an analysis defensible under hostile questioning; what the regulators' consumer-group fuel split demands onboard, and why collecting once at fine granularity serves every reporting regime at once; what AIS actually carries, what it is good for, and when to distrust it; class societies' smart-ship notations read as free procurement specifications; the architecture of a fleet data system, with a build-versus-buy assessment that respects your money; and the last mile: turning a pipeline into triggers people act on, with a feedback loop the ships can feel.

The opening lesson is free to read as a sample. By the end you should be able to audit your fleet's data estate, write its validation rules, specify a monitoring installation a vendor can be held to, and answer the question under all of it: what does this fleet actually know, and how would we prove it?

What the course covers

  1. Data Is a Fleet Asset 8 min
  2. The Onboard Data Landscape: Noon Reports and Autologging 8 min
  3. Data Quality Engineering: Making Analysis Defensible 12 min
  4. What the Regulators Did to Your Data 18 min + exercise
  5. AIS and External Data: The View from Outside 8 min
  6. What 'Smart Ship' Means in Class Terms 8 min
  7. The Architecture of a Fleet Data System 9 min
  8. From Data to Decisions: Closing the Loop 8 min

€179 + VAT

€221.96 including 24% VAT, which is what an individual in the EU pays. Outside the EU no VAT is added. A company in another EU country pays the net price once its VAT number is confirmed in VIES, the EU's register; a company in Greece pays the 24%. Checkout shows the total before you pay.

Paid once, for one person, for as long as the Academy runs: every lesson, the 3 Excel workbooks, the final examination and the certificate. Part of the Vessel Performance Analyst I: Measuring Performance specialisation, which costs less than its courses bought one at a time.

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All prices · Refunds: 7 days, unless you have started

Common questions

What exactly is included?

8 lessons (about 79 minutes in total), 65 quiz questions with explained answers, and 3 working Excel calculators: CII rating projector, FuelEU balance estimator, EU ETS cost estimator.

How much does it cost?

€179 plus VAT, paid once: €221.96 with 24% VAT, which is what an individual in the EU pays; outside the EU no VAT is added, and a company in another EU country with a VAT number valid in VIES pays the net price. That buys every lesson, the 3 Excel workbooks, the final examination and the certificate, for one person, for as long as the Academy runs. The course is also part of the Vessel Performance Analyst I: Measuring Performance specialisation, which costs less than its courses bought one at a time. Everything else is on the pricing page.

Is there work to do, or is it only reading?

1 lesson carries a required exercise, about 10 minutes of hands-on work in total. You download that lesson's Excel workbook, follow the numbered steps against the numbers the lesson states, then change one input and watch the answer move. The exercises are where the method stops being something you have read and becomes something you can run; the stated course time includes them.

Do I get a certificate?

Yes. The course ends with a graded final exam, marked on our server rather than in your browser: you see your score and which questions you got wrong, but not the answers, because the questions are drawn from a pool. Pass it and you get a PDF certificate in your name, with a certificate number on it.

That number is the point. Anyone you show the certificate to can check it themselves at academy.blueautonomy.gr/verify, with no account and no email to us: the page states the name, the course and the date we issued it. A certificate nobody can verify is a decorated PDF, and we would rather issue one that stands up.

Can I preview the course?

Yes: the first lesson, Data Is a Fleet Asset, is free to read in full. It is a real lesson, not a trailer: same depth, same quiz.

Do I need prior knowledge?

None strictly. Our course The Road to Efficiency sketches this territory at walking pace; comfort with basic performance ideas helps, but everything here is built from the ground up.