Tableau and R for Analytics Projects
Tableau and R for Analytics Projects
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 27m | 279 MB
Instructor: Curt Frye
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 27m | 279 MB
Instructor: Curt Frye
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
Tableau and R for Analytics Projects
