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.
Advanced Data Visualization with R
Advanced Data Visualization with R
This course is part of Data Visualization & Dashboarding with R Specialization
Instructor: Collin Paschall
5,643 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.9
(74 reviews)
10 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
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Assessments
6 assignments
Taught in English
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This course is part of the Data Visualization & Dashboarding with R Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
In this module, we will work through making a number of different figures using ggplot2 and a few additional R packages. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
What's included
3 videos12 readings3 assignments1 peer review
In this module, we go through an introduction for making spatial figures (maps) in R. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
What's included
4 videos5 readings1 assignment1 peer review
In this module, we will work on animating figures and making them interactive. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
What's included
5 videos4 readings2 assignments1 peer review
Instructor
Instructor ratings
5.0 (25 ratings)Offered by
Recommended if you're interested in Data Analysis
University of Michigan
University of Colorado Boulder
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4.9
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JW
5
Reviewed on Aug 15, 2021
My skills have vastly improved in R with this specialization. I've utilized on multiple occasion the tasks here in my professional job.
OE
5
Reviewed on Dec 23, 2020
Great course! Lots of data wrangling and visualization.
MD
5
Reviewed on Jul 15, 2021
This course help me in doing my assignments with beautiful colors of graphs etc. I love it.
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