Visualization

Showing 1–10 of 26 results

Sale!
[Intermediate] Spatial Data Analysis with R, QGIS & More
$11.99

Become an Open source GIS Guru and Tackle Spatial Data Analysis Using R, QGIS, GRASS & GOOGLE EARTH

Go to Udemy
Beginning Data Visualization with R
$25.00

Learn how to create and interpret basic data visualization using the programming language R.

Go to Pluralsight
Building Data Visualization Tools
$50.00

Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks.

Go to Coursera
Sale!
Comprehensive Graphic Visualizations with R
$11.99

Learn the important features of the base, ggplot and lattice (“trellis”) graphical capabilities in R

Go to Udemy
Sale!
Create Interactive Web Applications with the R Shiny Package
$11.99

Learn to create your own sophisticated Shiny applications by practicing with dozens of detailed Shiny Examples !

Go to Udemy
Creating Interactive Presentations with Shiny and R
$200.00

Analyzing big data is great, but not if you can’t share your results. In this course, Martin Hadley shows how to create interactive presentations of large data sets with R, RStudio, and Shiny, an R-based tool for producing interactive, web-ready data visualizations.

Go to Lynda.com
Data Science Certification Training – R Programming
$400.00

Become an expert in the various data analytics techniques using R.

Go to Simplilearn
Data Visualization in R
$25.00

R supports four different graphics systems: base graphics, grid graphics, lattice graphics, and ggplot2.

Go to DataCamp
Data Visualization with ggplot2 (Part 1)
Rated 4.00 out of 5
$25.00

In this chapter we’ll get you into the right frame of mind for developing meaningful visualizations with R.

Go to DataCamp
Data Visualization with ggplot2 (Part 2)
Rated 5.00 out of 5
$25.00

This ggplot2 tutorial builds on your knowledge from the first course to produce meaningful explanatory plots.

Go to DataCamp