Interactive Visualizations
This course is designed for students with a basic familiarity with R and some experience with data analysis and data manipulation. In less than 90 minutes of instructional time, students learn how to create dynamic visualizations in R and embed them into websites or host them on other sites. This course also teaches students how to collect data from different websites and manipulate that data so it can be visualized in R.
Course Objectives
- Create interactive visualizations with clickable charts, graphs, maps, and networks
- Publish dynamic graphs and applications to your blog or website
- Collect and manipulate data from almost any website, saving you time and creating new possibilities
| Prerequisites: Intro to R | View syllabus |
|---|---|
| Instruction: 1 hr 30 min | |
| Practice: 3 – 4 hrs |
Dr. Keegan Hines
Keegan Hines is a data scientist with IronNet Cybersecurity, which focuses on large-scale machine learning applications in cyber defense. He is passionate about solving challenging problems in machine learning and distributed computing, as well as creating more effective methods for data visualization and communication. When not doing data science, he is probably on a road bike or performing improv comedy.
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