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Evolution Course

Evolution Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This intensive Evolution Course equips you with practical tools to examine elevational biodiversity, covering patterns of species richness and endemism, up to population genomics, phylogeography, and trait-based ecology. You'll master robust sampling designs, genomic pipelines, selection scans, environmental association methods, and predictive models, then apply your findings to conservation strategies, monitoring plans, and policy reports for mountain systems across the globe.

Elevify advantages

Develop skills

  • Elevational biodiversity analysis: map richness, endemism, and beta diversity patterns.
  • Population genomics workflows: design sampling, run QC, and infer structure fast.
  • Selection and adaptation tests: apply GWAS, genome scans, and environmental fits.
  • Integrative eco-evo design: couple traits, acoustics, microhabitat, and genetics.
  • Conservation planning from genomics: define corridors, refugia, and monitoring schemes.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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