This course is designed for bioinformaticians and researchers who want to leverage the power of the Python/scverse ecosystem to analyze single-cell RNA sequencing (scRNA-seq) data. While R has traditionally been a stronghold for transcriptomics, Python has emerged as the go-to for scalability (handling millions of cells) and seamless integration with Machine Learning frameworks.

You will master the foundational AnnData structure and build high-performance pipelines using Scanpy, scvi-tools, and other industry-standard libraries.