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Course · 300 h · 5 modules
Course in Ocean Data Visualisation
The Course in Ocean Data Visualisation Prepares you to turn ocean data into clear, rigorous and engaging charts, maps and dashboards. You will learn the principles of visual perception and information design, how to choose the rig
Duration300 h
FormatOnline
Starts23 November
Places20 / 20
Prior knowledge
Prior Knowledge Assessment
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Programme overview
What is the Course in Ocean Data Visualisation?
The Course in Ocean Data Visualisation
Prepares you to turn ocean data into clear, rigorous and engaging charts, maps and dashboards. You will learn the principles of visual perception and information design, how to choose the right chart for each type of data, and how to represent spatial fields, profiles and time series. You will also build interactive visualisations and tell stories with data that help scientists, managers and the public understand the ocean and act on what they see.
Key advantages
- Design with rigour: Visualisation principles applied to scientific data.
- Open tools: Python, interactive libraries and web tools.
- Real ocean data: Exercises with satellite, buoy and model data.
- For different audiences: From scientific figures to dashboards and public outreach.
- Case study: A dashboard or visual report on the ocean.
Programme type
Course
Study mode
Online
Duration
300 hours
Modules
5
Programme highlights
- Design with purpose: Apply principles of visual perception.
- Choose well: Use the right chart for each dataset.
- Map the ocean: Create high-quality oceanographic maps.
- Make it interactive: Build web visualisations and dashboards.
- Boost your career: Strengthen your profile in science, consultancy and communication.
- Train to make ocean data visible and understandable.
Curriculum
Programme Structure
The programme is structured in 5 modules, listed below in order of study.
01
Principles of Data Visualisation
- Visual perception and attention
- Visual encodings
- Colour and accessibility
- Common chart mistakes
- Representing uncertainty
02
Charts for Ocean Data
- Time series and climatologies
- Vertical profiles
- Temperature-salinity diagrams
- Oceanographic sections
- Distributions and comparisons
03
Oceanographic Mapping
- Map projections
- Maps of scalar fields
- Current and wind vectors
- Bathymetry and seabed relief
- Map animations
04
Interactive Visualisation and Dashboards
- Interactive charting libraries
- Interactive web maps
- Dashboards with Python
- Updating data
- Publishing on the web
05
Visual Communication of the Ocean
- Storytelling with data
- Scientific infographics
- Visualisation for managers
- Visualisation for the general public
- Case study: an ocean dashboard
Workload
Study Time and Workload
300 hours of study, online and at your own pace. Move the slider to the hours a week you can really put in.
Hours a week8
Weeks to finish—
You finish around—
Who it is for
Marine scientists and technicians: who want to communicate their results better Data analysts: who work with environmental information Science communicators: who need to visualise ocean data Public sector officers: who produce reports on the marine environment Designers: interested in scientific data visualisation
Faculty
Academic direction and faculty
The teaching team at Navalis: working professionals who deliver and oversee the institute's programmes.
Eng. Diego Cifuentes
Cap. Javier Abaroa (MCA)
Dr. Pau Ferrer
Dr. Nuria Llobregat
Eng. Javier Bañuls
Eng. Sofía Marquina
Eng. Tomás Riera
Verified reviews
Student Reviews
Reviews collected and verified by Opynio, not written by us.
Outcomes
Learning Outcomes
- 01Apply visualisation principles
- 02Choose the right chart
- 03Represent spatial data
- 04Visualise profiles and series
- 05Create interactive visualisations
- 06Communicate with data
Careers
Career Opportunities
01Data visualisation specialist: Scientific charts and dashboards.
02Science communication officer: Visual outreach on the ocean.
03Environmental data analyst: Visual reports for public bodies and companies.
04Dashboard developer: Web tools for marine monitoring.
Questions
Entry Requirements
A basic knowledge of Python is recommended; the course includes step-by-step guided examples.
Python with static and interactive charting libraries, plus web mapping tools.
Open satellite, buoy, Argo float and ocean model data.
Yes. A whole module is devoted to visual communication for managers and the general public.
Designing a dashboard or visual report on a specific ocean issue.
100% online, with a virtual campus available 24/7, live sessions that are recorded, and tutorials with the teaching staff.
The programme involves 300 hours of study. You can work at your own pace within the timetable we give you when you enrol.
Each programme has its own start date, shown on this page and confirmed by our admissions team when you enquire.
On completing the programme you receive the Course in Ocean Data Visualisation qualification awarded by Navalis Magna Institute.
Online admissions
Admissions Process
No waiting for a phone call. If your documents are complete, you can pay in the same session.
Entry requirements
Entry profile: Students or graduates in marine science, environmental science, geography, journalism, design, computer science or related fields, or professionals who work with marine data. Language: A good working level of English to follow classes and materials. Technical requirements: A computer with a stable internet connection, an up-to-date browser and a webcam for live sessions and project presentations. Admissions process: Online application, profile review and a short interview with the academic team. We confirm your start date when you enquire.
Questions?
Frequently Asked Questions
Leave your details and admissions will write back. If you already know this is the one, go straight to the application and pay in the same session.