This is a graduate-level course on data generation and analysis in neuroscience and neurology for wet-lab scientists, using a combined lecture and workshop format with exercises in R. The first half of the course covers basic statistics, machine learning, and neurogenomics, and the second half examines machine learning on non-genomics modalities.
Learn how to use the most common Python packages for data science. Become
confident in managing your own data and building data pipelines.