Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Integrating Tableau and R for Data Science

via LinkedIn Learning

This course may be unavailable.

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Discover how to combine Tableau and R to provide your business with the ability to see and understand your data. Learn how to integrate these platforms and when to use either one.

R is known as one of the most robust statistical computing solutions out there. Tableau—a leading business intelligence platform—provides excellent data visualization and exploration capabilities. When combined, Tableau and R offer one of the most powerful and complete data analytics solutions in the industry today, providing businesses with unparalleled abilities to see and understand their data. In this course, learn how to integrate these two platforms, as well as how to determine when each one is a better choice. Instructor Ben Sullins explains how to connect Tableau to R, and covers geocoding, running linear regression models, clustering, and more.

Syllabus

Introduction
  • Welcome
  • What you should know
  • Using the exercise files
1. Introducing R and Tableau
  • Where Tableau shines
  • Where R rules
  • Why integrate R and Tableau?
2. Connecting Tableau to R
  • Install Tableau
  • Install R and RServe
  • Run RServe and connecting Tableau
3. Basic Scripting in R
  • Basic scripting in R
4. Basic Calculations in Tableau
  • Tableau desktop overview
  • Import data to Tableau
  • Basic calculations in Tableau
  • Table calculation overview
5. Examples
  • Outlier detection
  • Geocode addresses
  • Linear regression
  • Clustering
6. Sharing Your Insights on Tableau Server
  • Set up R on Tableau Server
  • Publish your work
  • Edit calculations on server
Conclusion
  • Next steps

Taught by

Ben Sullins

Reviews

Start your review of Integrating Tableau and R for Data Science

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.