Learn rigorous workflows to build, validate, and interpret microbiome co-occurrence and interaction networks. You'll handle compositionality and sparsity, apply state-of-the-art inference (SparCC, SPIEC-EASI, FlashWeave, CoNet) , compute topology metrics, detect modules and keystone taxa, and relate network structure to phenotypes and environments. Emphasis on robust statistics, reproducibility, and clear reporting for manuscripts and decisions.