A comprehensive and interdisciplinary introduction to data analytics using modern computing systems, with equal attention to fundamentals and practical aspects. Topics include sources of data, data formats and transformation, usage of spreadsheets and databases, statistical analysis, pattern recognition, data mining, big data, and methods for data presentation and visualization.

An introduction to data analysis and visualization techniques, including: data types and transformation, statistical methods to characterize uni- to multi-variate data, spatial data and interpolative mapping, time series and Fourier transformation, and signal processing. Earth science applications will be emphasized. Includes MATLAB basics for data and time-series analysis and visualization.

the former Applied Mathematics 1412A/B, the former Applied Mathematics 1413.

COMPSCI 2034A/B

DATA ANALYTICS: PRINCIPLES AND TOOLS

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