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index.Rmd
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index.Rmd
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---
title: "BIOF 439: Data Visualization using R"
output:
html_document:
includes:
after_body: footer.html
---
```{r, include = FALSE, eval = knitr::opts_knit$get("rmarkdown.pandoc.to") == "html"}
# Enables Font Awesome in HTML based bookdown outputs.
fa <- rmarkdown::html_dependency_font_awesome()
fa$attachment <- "fonts/fontawesome-webfont.ttf"
htmltools::tagList(fa)
```
## Instructor: Abhijit Dasgupta, PhD
### Course description
This course will provide a short introduction to the [R](http://www.r-project.org)
statistical programming language, and then expose students to different packages in
the R ecosystem that create both static and dynamic data visualizations. During this
exploration, students will explore what makes a graph "good", and what can make it "bad".
Students will be expected to do at-home studying and complete class assignments
in preparation for subsequent classes. This will be a rather intense 7-week course.
Students can also work together to facilitate understanding, and share questions and
answers on the class [Slack channel](https://biof439dataviz.slack.com){target=_blank}.
Grades are based on completing homework, class participation, and a final presentation
based on your own data and your own work, showing how you can use data visualizations to help
express the (scientific) story.