Visualizing Data & Communicating Results in R with RStudio


Code and run your first R program in minutes without installing anything!

This course is designed for learners with limited coding experience, providing foundational knowledge of data visualizations and R Markdown. The modules in this course cover different types of visualization models such as bar charts, histograms, and heat maps as well as R Markdown. Completion of the previous course (Data Analysis in R with RStudio & Tidyverse) in this specialization or similar experience is recommended.
To allow for a truly hands-on, self-paced learning experience, this course is video-free.
Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a cumulative lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.

What you will learn

Creating Comparison and Composition Charts

Learn how to create comparison and composition charts.

Creating Distribution Charts

Learn how to create distribution charts.

Creating Specialized Visualizations

Learn how to create specialized visualizations.

Communicating Data Using R Markdown

Learn how to export visualizations as commonly used document files.

What’s included