Mastering AnnData: Learn to manipulate the .X, .obs, .var, and .obsm slots that make Python-based single-cell analysis so memory-efficient.
Scalable Preprocessing: Perform quality control, normalization, and log-transformation on massive datasets that would typically crash traditional R environments.
Deep Generative Modeling: Introduction to scvi-tools for probabilistic modeling of technical noise and batch effects.
