BIOL 3715 - Bio Data Anal. and Vis.

Institution:

University of Utah

Subject:

Biology

Description:

This hands-on course will introduce students to the fundamental tools for the analysis and visualization of data from a range of biological sub-fields. Topics will include, but are not limited to, the management of data, exploration and description of data distributions, basic linear regression and hypothesis testing, and exposure to a range of data and visualization types. Example data sets will draw from ecology, genomics, physiology, and other sub-fields in biology to expose students to a wide range of visualization and analysis techniques. At the end of this course, students will know how to explore and analyze a new dataset to make defensible conclusions from data using modern open scripting tools, such as R or Python. No prior computer programming experience is required.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utah.edu

Phone Number:

(801) 581-7200

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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