AI Article Synopsis
- Biologists are facing larger and more complex data sets, highlighting the need for students to learn data exploration and visualization skills.
- A new upper-level undergraduate course was created to focus on these skills, accommodating students without prior coding experience.
- The course covers data visualization techniques using Tableau and R, along with discussions on scientific ethics, misinformation, and equity in data usage.
Article Abstract
As biologists accumulate or encounter increasingly large and complex data sets, our field creates the need for students to develop skills in data exploration and visualization. Many biology courses lack the time for students to develop the skills needed to parse complex datasets and visualize them appropriately. We developed a new upper-level undergraduate biology course to focused on data exploration and communication without requiring previous coding experience. We emphasized data visualization principles and best practices and taught students how to manage and visualize data via Tableau and R. We also explored scientific ethics, how to refute misinformation, and inequities that can occur in data collection and usage.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509479 | PMC |
| http://dx.doi.org/10.1002/bmb.21652 | DOI Listing |
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