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Basic Statistics → Applied Evolutionary Modeling Project
This learning path equips graduate students in quantitative biology with the skills to apply advanced statistical models to evolutionary data. It covers Bayesian inference, MCMC, likelihood methods, phylogenetic comparative methods, and population genetics models, building from basic statistics through to advanced applications.
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12 steps · 3 stages. Click any step to inspect it and see it on the Path Map.
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