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.
JW
My skills have vastly improved in R with this specialization. I've utilized on multiple occasion the tasks here in my professional job.
MD
This course help me in doing my assignments with beautiful colors of graphs etc. I love it.
OE
Great course! Lots of data wrangling and visualization.
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Collin is great. I was surprised at what complicated charts I was able to make with the support of this course. He chooses the readings well, and many will be useful reference points in the future. Assignments are well designed.
I think this was another excellent course in the specialisation. The emphasis in this course was on introducing a wide range of visualisations so there necessarily was less emphasis on the data wrangling aspects. I think the lectures are very clearly delivered and the R code provided has useful comments to explain each step. I think after this course I could return to each of the visualisations introduced and would have a solid foundation to develop each one further for my own requirements. I would recommend this course.
This course is a bit different from others I have done on Coursera. In this instance, the instructor provides a general overview of the topic and then points the student to the broad array of online resources that are out there to assist the learner in developing their understanding of the subject. I think this is a very good approach for an applied subject like data visualization, which is essentially a "learn by doing" activity. I found the approach to be well-suited to my learning style.
All of the courses in this specialization have been really well done. He does a great job explaining and building knowledge in the videos, paired with very useful reading resources. He is very transparent in every course that it's going to take some time on your own reading, perhaps watching the videos multiple times, and just somewhat mulling through until it makes sense. I'm excited about being able to use what I learned in this course and apply it to some data I have on education.
good introduction to some features of ggplot2 that i don't have much experience with, specifically plotly and a couple of mapping packages. one big advantage is that you'll leave the course with some code and resources that will be useful later if you can find ways to start incorporating this stuff into your work.
Course introduced me to several new visualization techniques. Course material was appropriate amount to learn the subject and the projects could be completed in a reasonable amount of time, using the material covered in the course.
I strongly recommend this course for those who want to possess strong grasp in visualization using R. I gain a lot of knowledge and nitty-gritty visualizing using R. And also, this is an enjoyable course!
Fatur, Jakarta, Indonesia
Excellent introdutiction to advanced data visualization, exceptional for R user without previous experience in GIS and Maps. Also useful for other users seasoned with videos e visualizations from Matlab, Python and ParaView.
This is a great course. It helps you produce several ggplot charts, doing animations with gganimate package, integrating plotly package for interactivity with the charts. It also helps to produce maps with geographic data
En mi opinión el curso es muy bueno. El material es excelente. El profesor explica muy bien las sesiones y responde satisfactoriamente las dudas y comentarios en el foro.
My skills have vastly improved in R with this specialization. I've utilized on multiple occasion the tasks here in my professional job.
This course help me in doing my assignments with beautiful colors of graphs etc. I love it.
It's a very good course and you'll learn a lot of topics related to advanced visualizations.
great specialization, i suspect the best for starting in R
Great course! Lots of data wrangling and visualization.
Excellent course, excellent teaching.
I like it, quite good, thank you ^_^
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