20.260 Analysis and Presentation of Complex Biological Data
Illustrates best practices in the statistical analysis of complex biological datasets and the graphical representation of such analyses. Covers fundamental concepts in probability and statistical theory as well as principles of information design. Provides mathematical concepts and tools that enable students to make sound judgments about the application of statistical methods and to present statistical results in clear and compelling visual formats. Assignments focus on key concepts and their application to practical examples. Assumes basic knowledge of calculus and programming in MATLAB or R.
This class has no prerequisites.
20.260 will not be offered this semester.
This class counts for a total of 4 credits.
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