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Learner Reviews & Feedback for Data Visualization in R with ggplot2 by Johns Hopkins University

5.0
stars
23 ratings
4 reviews

About the Course

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....
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1 - 5 of 5 Reviews for Data Visualization in R with ggplot2

By Rj F

Jan 22, 2021

I really enjoyed the course. There are many links to additional material so you can explore as far as you want. All R code used in the videos is downloadable and can be run side-by-side in R Studio. Instructor is very knowledgeable and material is organized well.

By Anthony T

Apr 15, 2021

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

By Lehyton A

Feb 4, 2021

Es un curso excelente. Te brinda todas las herramientas para comprender la creación de gráficos con ggplot2. Sin duda alguna mis reportes académicos y laborales mejorarán completamente.

By Madelin G J S

Mar 31, 2021

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

By German N Z G

Feb 26, 2021

Great