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Johns Hopkins University

Data Visualization in R with ggplot2

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance. This course is the second in a specialization in Data Visualization offered by Johns Hopkins. It is intended for learners who have either have some experience with R and data wrangling in the tidyverse or have taken the previous course in the specialization. The focus in this course learning to use ggplot2 to make a variety of visualizations and to polish those visualizations using tools within ggplot as well as vector graphics editing software. The course will not go into detail about how the data management works behind the scenes.

Status: Plot (Graphics)
Status: Ggplot2
IntermediateCourse13 hours

Featured reviews

Reviewed Dec 18, 2024

Great. Well explained and interactive. Simulatenaously going through practical examples to teach, rather than just talking and it becoming a video to watch.

Reviewed Jan 23, 2022

I​ used several times ggplot2 package in R but every times I should google how it's work. After finishing this course I had the feeling that I really know how to use ggplot2 properly.

Reviewed May 12, 2021

My best thanks to Coursera and Johns Hopkins University for holding this valuable course.

Reviewed Apr 14, 2021

The course is very interesting. It helped me improve my skills with different graphs and charts

Reviewed Mar 30, 2021

Extremely useful, clear, and easy to follow course of ggplot2

Reviewed Aug 16, 2021

Course should have been more elaborated. However, I immensely enjoyed this.