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Introduction to Data Visualization with ggplot2
4.8(2,529)186k studentsBEGINNEREnglish
Korshub's take
Course Overview
Transform raw data into compelling insights using R's premier visualization library. This beginner course introduces the grammar of graphics and teaches you to build flexible exploratory plots using ggplot2 by combining Data, Aesthetics, and Geometries.
Who Should Enroll?
Ideal for beginners in R programming, data analysts, and aspiring data scientists seeking to master core plotting concepts and graphic aesthetics.
Key Takeaways
- Grammar of Graphics: Understand how layered plotting logic structures flexible statistical charts.
- Core Plotting Layers: Master the combination of Data, Aesthetic mappings, and Geometric objects in ggplot2.
- Exploratory Graphics: Construct clear, informative plots for effective data discovery and communication.
About this course
The ability to produce meaningful and beautiful data visualizations is an essential part of your skill set as a data scientist. This course, the first R data visualization tutorial in the series, introduces you to the principles of good visualizations and the grammar of graphics plotting concepts implemented in the ggplot2 package. ggplot2 has become the go-to tool for flexible and professional plots in R. Here, we’ll examine the first three essential layers for making a plot - Data, Aesthetics and Geometries. By the end of the course you will be able to make complex exploratory plots.
The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.
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