Diploma in Data Science for Mycology
R, Python, statistics, machine learning and data management applied to the real datasets mycologists collect.
8 modules, one growing line of knowledge.
Hover or tap a module to follow the path from the first session to the final project.
How the programme grows, phase by phase.
- Programming foundations in R and Python
- Data cleaning and wrangling
- Visualisation and communication
- Statistical modelling
- Spatial data and biodiversity records
- Machine learning fundamentals
- Reproducibility and FAIR data
- Capstone data project
Diploma in Data Science for Mycology
By the end you will have worked through:
- Programming foundations in R and Python
- Data cleaning and wrangling
- Visualisation and communication
- Statistical modelling
- Spatial data and biodiversity records
Where this programme sits in the school.
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Questions about this programme
Do I need experience to study Diploma in Data Science for Mycology?
Basic knowledge of the field helps. A Fungaris course in the same school is a good starting point.
How is Diploma in Data Science for Mycology taught?
Live online, in 8 modules with a working professional, a small group and a final project.
What certificate do I get?
Fungaris issues a diploma certificate on completion. Accreditations are assessed according to the training completed and the local regulations of each country.
What can I study after Diploma in Data Science for Mycology?
The natural next step is Master in Fungal Genomics and Bioinformatics.
Live, in a small group, with a real project.
Keep branching.
Join the next intake.
Pay in full with a 20% reduction, or reserve your place with 40% and pay the rest in monthly instalments.