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.

• 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.
• Visualizing Data and Communicating Results with R Lab
• Given a data set, create a chart that represents that data.