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Marine Biology

Marine biology covers the biology and ecology of ocean life from microbes and plankton to corals, fish and marine mammals. Modern practice combines field/diving surveys, environmental DNA (eDNA), acoustic monitoring, satellite/ROV observation and biodiversity informatics (OBIS, GBIF) to support conservation and ocean management.

OBISGBIFR-veganINaturalist
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Default learning track

4 phases · ~16–22 weeks

A baseline path through this sector with milestones, prerequisites, and concrete projects. Click Personalize this roadmap above to have the AI tailor pace, depth, and resources to your background and goals.

1

Phase 1 — Foundations

3–4 weeks 30–40 hours

Build the conceptual and quantitative base needed to read papers and follow tutorials in the sector.

Prerequisites

  • Comfortable with basic biology / health-science vocabulary
  • Ability to install software and use a terminal

Skills you'll build

Python or R basicsLinux shellGit/GitHubReading scientific literature

Hands-on projects

Reproducible analysis notebook

Walk through a published tutorial in R (vegan, sdm) + QGIS and reproduce its results on the provided sample data.

Deliverable: GitHub repo with a Jupyter/Quarto notebook, environment.yml, and README

Milestones

  • Set up reproducible Conda/Mamba environment and a public GitHub repo
  • Read and summarize 3 review papers covering the sector landscape
  • Complete an intro statistics or scripting course end-to-end
Citation · course
Marine Biology — open OCW (MIT, course archives)
MIT OCW
Why: Exact sector match (Marine Biology)
Dataset · dataset
OBIS — Ocean Biodiversity Information System
IOC-UNESCO
Why: Exact sector match (Marine Biology)
2

Phase 2 — Core tools & datasets

4–6 weeks 60–80 hours

Learn the standard analytical stack of the sector and the canonical public datasets used by professionals.

Prerequisites

  • Completed Phase 1 reproducible notebook
  • Working Python/R environment

Skills you'll build

R (vegan, sdm) + QGISData wranglingQC & exploratory analysisVersion-controlled pipelines

Hands-on projects

Dataset deep-dive on OBIS + GBIF + Reef Life Survey

Pick one study from OBIS + GBIF + Reef Life Survey, reproduce the headline result, and write a short technical note on what you found.

Deliverable: GitHub repo + 3-page PDF write-up

Milestones

  • Run the official R (vegan, sdm) + QGIS tutorial end-to-end on real data
  • Download and explore one full dataset from OBIS + GBIF + Reef Life Survey
  • Document a clean QC + analysis pipeline that another person could rerun
Citation · course
Coursera · Tropical Coastal Ecosystems
Coursera · Univ. of Queensland
Why: Exact sector match (Marine Biology)
Dataset · dataset
GBIF — Global Biodiversity Information Facility
GBIF
Why: Exact sector match (Marine Biology)
3

Phase 3 — Applied projects

6–8 weeks 80–120 hours

Move from tutorials to original analyses on real questions. Start showing your work publicly.

Prerequisites

  • Phase 2 dataset deep-dive complete
  • Comfortable with the sector's primary tooling

Skills you'll build

End-to-end pipeline designStatistical interpretationScientific writingReproducible reports

Hands-on projects

Species-distribution model for a marine taxon

Build a reproducible SDM for a chosen marine species using OBIS occurrences + Bio-ORACLE predictors and discuss MPA implications.

Deliverable: Reproducible repo + SDM map + 3-page conservation brief

Milestones

  • Ship one original mini-analysis on a public dataset with clearly stated hypothesis and limitations
  • Engage with the World Conference on Marine Biodiversity / OBIS network (post a question, answer one, or share a notebook)
  • Get peer feedback on at least one project and iterate
Citation · training
NOAA Marine Education resources
NOAA
Why: Exact sector match (Marine Biology)
Dataset · dataset
Reef Life Survey
RLS Foundation
Why: Exact sector match (Marine Biology)
4

Phase 4 — Portfolio & career launch

3–5 weeks 30–50 hours

Package your work, target real roles, and prepare to interview in the sector.

Prerequisites

  • Phase 3 capstone project shipped
  • 2+ public repos under version control

Skills you'll build

Technical CVPortfolio siteInterview prep (case studies + technical questions)Networking

Hands-on projects

Job-ready portfolio package

Curate 2–3 of your strongest sector projects into a portfolio site with clear case-study writeups, plus a 1-page CV tailored to the target role.

Deliverable: Live portfolio URL + PDF CV + cover letter template

Milestones

  • Publish a portfolio site or pinned GitHub README linking to 2–3 projects
  • Tailor CV to 3 real job ads in the sector and submit applications
  • Practice 5 mock technical interviews with sector-specific case studies
Citation · course
edX · Marine Conservation
edX
Why: Exact sector match (Marine Biology)
Dataset · dataset
MarineSpecies / WoRMS — World Register of Marine Species
WoRMS Consortium
Why: Exact sector match (Marine Biology)

Curated learning resources

Verified, canonical resources from the official providers in this sector. The AI roadmap builder draws from this same library when it personalizes your roadmap.

Courses

Marine Biology — open OCW (MIT, course archives)
MIT OCW
Coursera · Tropical Coastal Ecosystems
Coursera · Univ. of Queensland
edX · Marine Conservation
edX
Python for Everybody
Coursera · Univ. of Michigan
LinkedIn Learning paths
LinkedIn

Trainings

NOAA Marine Education resources
NOAA
Software Carpentry lessons
The Carpentries
Kaggle Learn
Kaggle

Documentations

Git & GitHub fundamentals
GitHub Docs

Tools

R vegan / sdm packages
CRAN

Datasets

OBIS — Ocean Biodiversity Information System
IOC-UNESCO
GBIF — Global Biodiversity Information Facility
GBIF
Reef Life Survey
RLS Foundation
MarineSpecies / WoRMS — World Register of Marine Species
WoRMS Consortium
Bio-ORACLE marine environmental layers
Bio-ORACLE

Books

R for Data Science (2e)
Hadley Wickham et al.

Typical career paths

Marine Biologist / Ecologist

Designs and analyzes biodiversity surveys, monitoring programs and conservation assessments.

Marine Conservation Data Scientist

Integrates OBIS/GBIF/eDNA data into species-distribution and protected-area planning models.

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