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BIO 439/539: Big Data Analysis

Author(s): Rachel Schwartz1, Linda Forrester1

University of Rhode Island

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Course materials for BIO 439/539: Big Data Analysis

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 29 Oct 2018 doi:10.25334/Q4XQ67 - cite this


Please see the Schwartz lab for more information, projects, and materials.

This course is intended to help you learn how to analyze large datasets correctly and efficiently. We will discuss methods for analysis of big data, and how to get research done more efficiently using basic scientific computing skills. This course will consist of limited lecture time and extensive hands-on time. We will cover data management, statistical methods, task automation, and how to make data analysis clear and reproducible. No prior programming experience is required. Although most of the data will be biological or environmental, the material learned will be fully translatable to other fields.

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