Dr. Marina AlcoverAcademic director focused on measurable results and operational excellence in maritime education. Integrates IMO/STCW regulations and ISO 21001/9001 f
Course · 300 h · 5 modules
Course in Python for Marine Science
The Course in Python for Marine Science Prepares you to use Python as an everyday working tool in oceanography and marine science. Starting from the basics of the language, you will move on to the key scientific libraries, includi
Duration300 h
FormatOnline
Starts23 November
Places20 / 20
Prior knowledge
Prior Knowledge Assessment
These are the skills this programme builds. Tick the ones you already have and we will tell you which part of the syllabus is really for you.
Your profile
Tick what you already know to see your result.
Programme overview
What is the Course in Python for Marine Science?
The Course in Python for Marine Science
Prepares you to use Python as an everyday working tool in oceanography and marine science. Starting from the basics of the language, you will move on to the key scientific libraries, including NumPy, Pandas and Xarray, to read NetCDF and CSV data, analyse CTD profiles, buoy time series and satellite products, and create clear, reproducible oceanographic maps and plots. No previous programming experience is needed, just curiosity and a willingness to practise.
Key advantages
- From scratch: Designed for people who have never written code.
- Real marine data: Exercises using CTD, buoy, Argo and satellite data.
- Open tools: Jupyter, NumPy, Pandas, Xarray and Cartopy.
- Reproducibility: Good practice for well-organised scientific work.
- Case study: A complete analysis of oceanographic data.
Programme type
Course
Study mode
Online
Duration
300 hours
Modules
5
Programme highlights
- Code with confidence: Learn the fundamentals of Python.
- Handle data: Use Pandas and Xarray with marine data.
- Read scientific formats: Work with NetCDF and CSV files.
- Visualise: Create oceanographic maps and plots.
- Boost your career: Gain a highly sought-after skill in marine science.
- Train to make programming your best ally in studying the ocean.
Curriculum
Programme Structure
The programme is structured in 5 modules, listed below in order of study.
01
Python Fundamentals
- Installation and the Jupyter environment
- Variables and data types
- Lists, dictionaries and tuples
- Conditionals and loops
- Functions and modules
02
Scientific Computing with NumPy and Pandas
- Arrays and vectorised operations
- Reading CSV and Excel files
- Filtering and grouping data
- Time series with Pandas
- Cleaning missing data
03
Multidimensional Oceanographic Data
- The NetCDF format
- Introduction to Xarray
- Selecting by coordinates
- Averages, climatologies and anomalies
- Accessing remote data
04
Oceanographic Visualisation
- Plotting with Matplotlib
- Vertical profiles and T-S diagrams
- Maps with Cartopy
- Colour maps for the ocean
- Publication-ready figures
05
Applied Analysis of Marine Data
- CTD profiles and Argo floats
- Buoy and tide gauge time series
- Satellite sea surface temperature
- Organising a reproducible project
- Case study: analysing data for a marine area
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 or environmental science students and graduates: who want to learn to code Laboratory and field technicians: who handle oceanographic data Researchers: who still rely on spreadsheets Environmental consultancy professionals: who analyse marine data Teachers and lecturers: who want to bring Python into their classes
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
- 01Master Python fundamentals
- 02Use the scientific ecosystem
- 03Read oceanographic data
- 04Analyse marine data
- 05Create maps and plots
- 06Work reproducibly
Careers
Career Opportunities
01Oceanographic data technician: Processing and analysis at research centres.
02Research assistant: Data analysis support on projects.
03Environmental consultancy technician: Analysing data from marine surveys.
04Junior data analyst: A first step towards data science roles.
Questions
Entry Requirements
No. The course starts from scratch and progresses gradually.
Only free software: Python, Jupyter and the scientific libraries, or a cloud environment.
Open CTD, buoy, Argo float and satellite data.
Yes. The techniques apply directly to data analysis in scientific projects.
Analysing and plotting oceanographic data for a marine area of your choice.
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 Python for Marine Science 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, biology, environmental science, geography, physics 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.