Teaches the extraction of information from data using statistical methods via a computer program. The goals of this course are: 1) to learn and apply tools to objectively analyze atmospheric and oceanic data, 2) to critically evaluate research using these tools. The course covers hypothesis testing, compositing, regression, principal component analysis, time series analysis, filtering, and data assimilation. This �learning-by-doing� course is aimed at advanced graduate students conducting ATOC-related research. Recommended prerequisite: ATOC 4810 or 5810, and familiarity with linear algebra, basic calculus, github and jupyter.