Id: 042648 Credits Min: 3 Credits Max: 3

Description

The objectives of this course are to introduce common techniques and pitfalls in data analysis and explore applications of data analysis across different Earth Science disciplines. Topics include data formats and data preparation, standard techniques in spatial and time series analysis, an introduction to machine learning, analysis best practices and code management, and ethical considerations in data analysis.

Prerequisites

EEAS Graduate level students only, or Permission of Instructor.

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