Learner Reviews & Feedback for Data Visualization with R by IBM

4.6

stars

264 ratings

About the Course

In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques. You will then learn how to use another data visualization package for R called Leaflet to create map plots, a unique way to plot data based on geolocation data. Finally, you will be introduced to creating interactive dashboards using the R Shiny package. You will learn how to create and customize Shiny apps, alter the appearance of the apps by adding HTML and image components, and deploy your interactive data apps on the web. You will practice what you learn and build hands-on experience by completing labs in each module and a final project at the end of the course. Watch the videos, work through the labs, and watch your data science skill grow. Good luck! NOTE: This course requires knowledge of working with R and data. If you do not have these skills, it is highly recommended that you first take the Introduction to R Programming for Data Science as well as the Data Analysis with R courses from IBM prior to starting this course. Note: The pre-requisite for this course is basic R programming skills....

Top reviews

Jul 9, 2022

The course was good and the videos explained the topic very well and the content was indeed very nice..thanks for providing such a good course

May 13, 2023

great i learned alot and practice many things in a different way,thanks coursera

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26 - 48 of 48 Reviews for Data Visualization with R

By Janier R

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Oct 29, 2022

than you

By Aryan

•

Jul 9, 2022

very nice

By Aryan K

•

Jun 29, 2022

very good

By Michael G

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Jan 26, 2023

top Kurs

By Mohammad k

•

Sep 14, 2024

awesome

By Sparsh G

•

Jun 28, 2022

Nothing

By Sand b

•

Oct 7, 2022

Good!

By Shaxnoza Z

•

Jan 11, 2025

well

By KARTHIKA V

•

Nov 29, 2024

good

By Aman k

•

Nov 9, 2024

good

By Xojamurod

•

Oct 3, 2024

good

By Ahmad R

•

Apr 28, 2024

Good

By Anish K M

•

Jul 13, 2022

best

By nagwa k a a

•

May 31, 2023

By Carol W

•

Nov 8, 2024

The material is presented in "pieces" that are too large. There is a basic understanding of R that needs to be built prior to using the visualization tools.