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exposition to presentation
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kweav committed Nov 6, 2024
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Expand Up @@ -13,7 +13,7 @@ The course is intended for cancer researchers with experience using basic inform

## Motivation

Due to the frequent use of automated algorithms to collect and process data as well as the large size of datasets, it is critical to look at collected data and produce effective summaries. Data visualization is useful for exploration, exposition, and validation of research, aiding in the understanding of underlying biology in data sets, debugging errors in informatics workflows, and identifying/avoiding sources of bias. This course is designed to guide learners through constructing effective and accessible visualizations and point to additional practice and documentation resources.
Due to the frequent use of automated algorithms to collect and process data as well as the large size of datasets, it is critical to look at collected data and produce effective summaries. Data visualization is useful for exploration, validation, and presentation of research, aiding in the understanding of underlying biology in data sets, debugging errors in informatics workflows, and identifying/avoiding sources of bias. This course is designed to guide learners through constructing effective and accessible visualizations and point to additional practice and documentation resources.

## Curriculum

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