Tableau and R for Analytics Projects

English | 2h 27m | Video 720p | Subtitles

On its own, Tableau is a powerful tool that helps professionals analyze, display, and generally make sense of the data at their fingertips. With the addition of R—a free, open-source language for data science—you can glean even more insights from your data. In this course, learn how to combine the analytical strengths of R with the visualization power of Tableau to analyze and present data more effectively. Instructor Curt Frye demonstrates how to install R and RServe; create a connection between Tableau and R; perform several types of analyses in R, from linear regression to cluster identification; and incorporate those analyses into Tableau visualizations.

 

Topics include:

 

Importing data

Creating calculations in R 

Creating and visualizing linear regression models

Detecting and visualizing outliers

Defining and visualizing clustering models

Creating a logistic regression model in R

Creating a support vector machine model

Visualizing random forest analysis data in Tableau

 

Homepage:

https://www.lynda.com/Tableau-tutorials/Tableau-R-Analytics-Projects/2823072-2.html