Data Analysis Methods in Physical Oceanography, Fourth Edition, is a practical reference to established and modern data analysis techniques in earth and ocean sciences. Its-five major sections address data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data - fields, and time series analysis methods. The significantly revised Fourth Edition includes considerable new information on autonomous platforms and satellite oceanography, together with new analysis tools such as "deep learning" and convolutional neural networks. Sections on extreme value statistics and types of oceanographic data formats have been added and the section on wavelet analysis has been expanded. Other newer data analysis methods have also been included in the revision of this popular textbook. Data Analysis Methods in Physical Oceanography brings together the relevant techniques and references recent papers where these techniques have been trialed. It also presents valuable examples using a variety of marine datasets. For students, the sections on Data Acquisition are useful for a compilation of all the measurement methods. Key Features, Coauthored by scientists from academia and government, both of whom have more than 40 years of experience in basic oceanographic research, instrument development and -field surveys, Worked examples to address typical data analysis problems, including several examples with computer codes, Brief summaries at the end of the more difficult sections, to assist readers looking for foundational information