John Hopkins University - Advanced Data Visualization with R

Offered byCoursera

Advanced Data Visualization with R
at
Coursera
Overview

Duration	10 hours
Start from	Start Now
Total fee	Free
Mode of learning	Online
Official Website	Explore Free Course
Credential	Certificate

Advanced Data Visualization with R
at
Coursera
Highlights

Earn a certificate from the university of Johns Hopkins upon completion of course.
Flexible deadlines according to your schedule.

Advanced Data Visualization with R
at
Coursera
Course details

Skills you will learn

R Statistics Data visualization

More 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 third in the Specialization "Data Visualization and Dashboarding in R." Learners come into this course with a foundation using R to make many basic kinds of visualization, primarily with the ggplot2 package. Accordingly, this course focuses on expanding the learners' inventory of data visualization options. Drawing on additional packages to supplement ggplot2, learners will made more variants of traditional figures, as well as venture into spatial data. The course ends make interactive and animated figures.
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.