Visualizing Data & Communicating Results in R with RStudio (Coursera)

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.

Course 4 of 4 in the Data Science and Analysis Tools - from Jupyter to R Markdown Specialization.

What You Will Learn

- Create charts to describe and compare the composition of data sets

- Illustrate the distribution of data through visualizations

- Create specialized visualizations such as heat maps, correlograms, and mosaic plots

- Use R Markdown to create documents, reports, and presentations

Syllabus

WEEK 1

Creating Comparison and Composition Charts

Learn how to create comparison and composition charts.

WEEK 2

Creating Specialized Visualizations

Learn how to create specialized visualizations.

WEEK 3

Creating Specialized Visualizations

Learn how to create specialized visualizations.

WEEK 4

Communicating Data Using R Markdown

Learn how to export visualizations as commonly used document files.

WEEK5

Visualizing Data and Communicating Results with R Lab

Given a data set, create a chart that represents that data.