IBM - Data Visualization with R

5.0 /5

(3 Ratings)

Offered byCoursera

Data Visualization with R
at
Coursera
Overview

Duration	8 hours
Start from	Start Now
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

Data Visualization with R
at
Coursera
Highlights

Shareable Certificate Earn a Certificate upon completion
100% online Start instantly and learn at your own schedule.
Flexible deadlines Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 8 hours to complete
English Subtitles: English

Data Visualization with R
at
Coursera
Course details

Skills you will learn

Excel R Data visualization Data analysis Data Science

More about this 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.
This course is part of multiple programs
This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:
IBM Data Analytics with Excel and R Professional Certificate
Applied Data Science with R Specialization