Beginning Data Visualization with R and ggplot2

Online Course

Udemy
Beginning Data Visualization with R and ggplot2

What is the course about?

Beginning Data Visualization with R and ggplot2
The course Beginning Data Visualization with R and ggplot2 is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Learn to design and implement data from scratch

Course description
  • Beginning Data Visualization with R and ggplot2
  • Set up the R environment, RStudio, and understand the structure of ggplot2
  • Use basic programming concepts of R such as loading packages, arithmetic functions, data structures, and flow control
  • Import data to R from various formats, such as CSV, Excel, and SQL
  • Clean data by handling missing values and standardizing fields
  • Perform univariate and bivariate analysis using ggplot2
  • Prior knowledge of R programming would be beneficial. It is assumed that you know basic high school math and statistics.
  • 4.5 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing

Prerequisites & Facts

Beginning Data Visualization with R and ggplot2

Course Topic

Business, Data Analytics, Data Visualization

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Beginning Data Visualization with R and ggplot2

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Beginning Data Visualization with R and ggplot2
provided by Udemy

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School: Udemy
Topic: Business, Data Analytics, Data Visualization