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...
By Collin Paschall on Coursera
About This 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.
Topics Covered
Frequently Asked Questions
How much does Data Visualization in R with ggplot2 cost?
Visit the Data Visualization in R with ggplot2 course page for current pricing and available discounts.
Who teaches Data Visualization in R with ggplot2?
Data Visualization in R with ggplot2 is taught by Collin Paschall, Johns Hopkins University.
What skill level is Data Visualization in R with ggplot2 for?
This course is designed for advanced learners.
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