CourseEstablished
R for Mycologists
Practical R programming for cleaning, analysing and visualising mycological data, from field records to growth experiments.
Level
Course
Modules
6
Duration
2–3 months
Format
Live online
School
Digital Mycology
What you will study
6 modules, one growing line of knowledge.
Hover or tap a module to follow the path from the first session to the final project.
At a glance
How the programme grows, phase by phase.
PHASE 1
Foundations
- R and RStudio essentials
- Importing and tidying mycological data
PHASE 2
Practice
- Data visualisation with ggplot2
- Statistics for growth and yield experiments
PHASE 3
Application & project
- Working with species occurrence data
- Reproducible reports with R Markdown and Quarto
What you will be able to do
R for Mycologists
By the end you will have worked through:
- R and RStudio essentials
- Importing and tidying mycological data
- Data visualisation with ggplot2
- Statistics for growth and yield experiments
- Working with species occurrence data
Your learning path
Where this programme sits in the school.
People also search for
Related searches
FAQ
Questions about this programme
Do I need experience to study R for Mycologists?
No previous experience is needed. The course starts from the foundations.
How is R for Mycologists taught?
Live online, in 6 modules with a working professional, a small group and a final project.
What certificate do I get?
Fungaris issues a course certificate on completion. Accreditations are assessed according to the training completed and the local regulations of each country.
What can I study after R for Mycologists?
The natural next step is Diploma in Fungal Bioinformatics.
How it is taught
Live, in a small group, with a real project.
i.A live professorMycologists, biologists, engineers and chefs who work in the field.
ii.A small groupQuestions in every session, and classmates from many countries.
iii.A real projectEach programme closes with applied work, reviewed by your professor.
iv.A certificateIssued by Fungaris on completion of the programme.
Related programmes
All digital mycology programmesKeep branching.
CourseEstablishedPython for MycologistsPython fundamentals applied to fungal data: pandas, plotting, sequence handling and automating everyday laboratory and field tasks.CourseEstablishedDNA Barcoding of Fungi with the ITS RegionFrom specimen to sequence to identification: extraction, PCR, Sanger sequencing, editing traces and comparing against reference databases.CourseEstablishedFungal Biodiversity Databases: GBIF, iNaturalist, UNITE and MycoBankHow the major fungal databases work, how to query and cite them, and how to judge the quality of their records.
Admissions & Fees
Join the next intake.
Pay in full with a 20% reduction, or reserve your place with 40% and pay the rest in monthly instalments.