Coursera

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

Offered by Codio,

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.

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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.

Go to Class

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