An introduction to data analysis, digital signal processing, machine learning and visualization techniques. Topics include: statistical methods to characterize uni- to multi-variate data, spatial data, time series and Fourier analyses, digital signal processing and filtering, data analytics and machine learning applications. Geophysics and environmental science applications will be emphasized.