Statistician to oceanographer
A statistician already meets 72% of what the oceanographer role asks for. The move turns on 7 required skills not yet in the profile.
40.3/ 100
1 How much of what an oceanographer is expected to do is already part of a statistician’s work. Directional: the figure for the reverse move differs, because moving into a speciality is not the same problem as moving out of one. 2 Every skill the oceanographer role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
An oceanographer role treats 35 of its required skills as things a statistician already does. You would walk in with these on day one.
- apply for research funding
- apply research ethics and scientific integrity principles in research activities
- apply scientific methods
- apply statistical analysis techniques
- communicate with a non-scientific audience
- conduct research across disciplines
What stands in the way is 7 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
Table 2 · What you already bring
Of the 40 skills that carry over, these are the ones fewest other occupations ask for. An oceanographer role needs them, and most people applying for one will not have them already. This is the part of a statistician background worth leading with.
- already held develop scientific theories information skills
- already held assist scientific research communication, collaboration and creativity
- already held write research proposals communication, collaboration and creativity
- already held apply statistical analysis techniques information skills
- already held apply scientific methods information skills
- already held execute analytical mathematical calculations information skills
All 40 carried skills, including the 35 the oceanographer role treats as required.
Table 3 · What you may need to learn
The 28 missing skills fall into 9 areas of the ESCO skill hierarchy, numbered in the order worth working in. Areas carrying the most required skills come first, and inside each one the required skills sit above the optional ones. Nothing here is a verdict on you: it is a list of what this particular job asks for that your current one does not.
- still to learn geology required
- still to learn oceanography required
- still to learn physics required
- optional, not held coastal management optional
- optional, not held geographic information systems optional
- optional, not held aquatic ecology optional
- optional, not held biology optional
- optional, not held chemistry optional
- optional, not held geophysics optional
- optional, not held meteorology optional
- optional, not held remote sensing techniques optional
- still to learn operate scientific measuring equipment required
- still to learn use measurement instruments required
- optional, not held operate remote sensing equipment optional
- optional, not held perform laboratory tests optional
- still to learn gather experimental data required
- optional, not held conduct underwater surveys optional
- optional, not held conduct field work optional
- optional, not held conduct research on climate processes optional
- still to learn scientific modelling required
- optional, not held cartography optional
- optional, not held environmental engineering optional
- optional, not held collect samples for analysis optional
- optional, not held perform diving interventions optional
3 further areas in the appendix
Table 4 · Where to start
The 3 entries an oceanographer role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 40 skills that carry over
- already held apply for research funding skill
- already held apply research ethics and scientific integrity principles in research activities skill
- already held apply scientific methods skill
- already held apply statistical analysis techniques skill
- already held communicate with a non-scientific audience skill
- already held conduct research across disciplines skill
- already held demonstrate disciplinary expertise skill
- already held develop professional network with researchers and scientists skill
- already held disseminate results to the scientific community skill
- already held draft scientific or academic papers and technical documentation skill
- already held evaluate research activities skill
- already held execute analytical mathematical calculations skill
- already held increase the impact of science on policy and society skill
- already held integrate gender dimension in research skill
- already held interact professionally in research and professional environments skill
- already held manage findable accessible interoperable and reusable data skill
- already held manage intellectual property rights skill
- already held manage open publications skill
- already held manage personal professional development skill
- already held manage research data skill
- already held mathematics knowledge
- already held mentor individuals skill
- already held operate open source software skill
- already held perform project management skill
- already held perform scientific research skill
- already held promote open innovation in research skill
- already held promote the participation of citizens in scientific and research activities skill
- already held promote the transfer of knowledge skill
- already held publish academic research skill
- already held scientific research methodology knowledge
- already held speak different languages skill
- already held statistics knowledge
- already held synthesise information skill
- already held think abstractly skill
- already held write scientific publications skill
- already held apply blended learning skill
- already held assist scientific research skill
- already held develop scientific theories skill
- already held teach in academic or vocational contexts skill
- already held write research proposals skill
The 3 learning areas not shown above
- optional, not held use geographic information systems optional
- optional, not held apply digital mapping optional
- optional, not held environmental legislation optional
- optional, not held design scientific equipment optional
21 supplementary skills, helpful but not required
- optional, not held cartography optional
- optional, not held coastal management optional
- optional, not held conduct underwater surveys optional
- optional, not held geographic information systems optional
- optional, not held use geographic information systems optional
- optional, not held apply digital mapping optional
- optional, not held aquatic ecology optional
- optional, not held biology optional
- optional, not held chemistry optional
- optional, not held collect samples for analysis optional
- optional, not held conduct field work optional
- optional, not held conduct research on climate processes optional
- optional, not held design scientific equipment optional
- optional, not held environmental engineering optional
- optional, not held environmental legislation optional
- optional, not held geophysics optional
- optional, not held meteorology optional
- optional, not held operate remote sensing equipment optional
- optional, not held perform diving interventions optional
- optional, not held perform laboratory tests optional
- optional, not held remote sensing techniques optional
45 held skills the oceanographer role does not ask for
- not needed by the target role advise on financial matters skill
- not needed by the target role advise on legislative acts skill
- not needed by the target role algorithms knowledge
- not needed by the target role analyse big data skill
- not needed by the target role biometrics knowledge
- not needed by the target role build predictive models skill
- not needed by the target role carry out statistical forecasts skill
- not needed by the target role computer simulation knowledge
- not needed by the target role conduct public surveys skill
- not needed by the target role conduct quantitative research skill
- not needed by the target role data ethics knowledge
- not needed by the target role data quality assessment knowledge
- not needed by the target role data science knowledge
- not needed by the target role deliver visual presentation of data skill
- not needed by the target role demography knowledge
- not needed by the target role design questionnaires skill
- not needed by the target role develop financial statistics reports skill
- not needed by the target role develop statistical software skill
- not needed by the target role digital data processing skill
- not needed by the target role gather data skill
- not needed by the target role healthcare analytics knowledge
- not needed by the target role identify statistical patterns skill
- not needed by the target role information confidentiality knowledge
- not needed by the target role manage database skill
- not needed by the target role manage quantitative data skill
- not needed by the target role market research knowledge
- not needed by the target role marketing analytics knowledge
- not needed by the target role mathematical modelling knowledge
- not needed by the target role multidisciplinary research knowledge
- not needed by the target role opinion poll knowledge
- not needed by the target role perform data analysis skill
- not needed by the target role plan research process skill
- not needed by the target role prepare lesson content skill
- not needed by the target role present reports skill
- not needed by the target role process data skill
- not needed by the target role provide lesson materials skill
- not needed by the target role quantitative analysis knowledge
- not needed by the target role research design knowledge
- not needed by the target role scientific literature knowledge
- not needed by the target role set theory knowledge
5 further entries not listed here
15 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- still to learn geology required
- still to learn oceanography required
- still to learn physics required
- still to learn scientific modelling required
- optional, not held cartography optional
- optional, not held coastal management optional
- optional, not held geographic information systems optional
- optional, not held aquatic ecology optional
- optional, not held biology optional
- optional, not held chemistry optional
- optional, not held environmental engineering optional
- optional, not held environmental legislation optional
- optional, not held geophysics optional
- optional, not held meteorology optional
- optional, not held remote sensing techniques optional
Other moves recorded from statistician
- biometrician 80% covered · moderate
- mathematician 77% covered · moderate
- astronomer 76% covered · moderate
- seismologist 76% covered · moderate
- religion scientific researcher 75% covered · moderate
- thanatology researcher 74% covered · moderate
- meteorologist 73% covered · moderate
- university research assistant 71% covered · moderate
Common questions about this move
Can a statistician become an oceanographer?
Yes, and it is a moderate move. A statistician already covers 72% of what an oceanographer is expected to do: 40 skills carry over, 35 of which the oceanographer role treats as required.
What skills does a statistician need to become an oceanographer?
7 required skills are missing, plus 21 optional ones. They fall into 9 areas of the ESCO skill hierarchy, led by natural sciences, mathematics and statistics. The single most important is gather experimental data.
How hard is the move from statistician to oceanographer?
Its learning distance is 40.3 out of 100, which is the moderate band. That accounts for both how much is missing and how specialised those skills are.
How this record was compiled
Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.