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Getting Started with Data Visualization in R

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. To fill that need, this course is intended for learners who have little or no experience with R but who are looking for an introduction to this tool. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown. The course is designed for students with good basic computing skills, but limited if any experience with programming.

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Frequently Asked Questions

How much does Getting Started with Data Visualization in R cost?

Visit the Getting Started with Data Visualization in R course page for current pricing and available discounts.

Who teaches Getting Started with Data Visualization in R?

Getting Started with Data Visualization in R is taught by Collin Paschall, Johns Hopkins University.

What skill level is Getting Started with Data Visualization in R for?

This course is designed for beginner learners.

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Students0
DurationSelf-paced
LevelBeginner
Languageen
PlatformCoursera