YoVDO

Tableau and R for Analytics Projects

Offered By: LinkedIn Learning

Tags

Tableau Courses Data Analysis Courses Data Visualization Courses Linear Regression Courses Logistic Regression Courses Clustering Courses Outlier Detection Courses

Course Description

Overview

Learn how to combine the analytical strengths of R with the visualization power of Tableau to analyze and present data more effectively.

Syllabus

Introduction
  • Include R analyses in your Tableau visualizations
  • What you should know
1. Introducing Tableau and R
  • Compare the strengths of Tableau and R
  • See how R and Tableau can work together
  • Install R on a computer
  • Download and install CRAN packages in R
  • Run Rserve and establish a connection to Tableau
2. Prepare for Analysis with Tableau and R
  • Import data into R
  • Create calculations in R
  • Import data into Tableau
  • Create a visualization in Tableau
  • Create a calculated field in Tableau
3. Create and Visualize Linear Regression Models
  • Linear regression and multiple regression models
  • Create a single- and multiple-variable linear regression model in R
  • Analyze regression variables for significance in R
  • Visualize data for linear regression in Tableau
  • Add an R regression model to a Tableau viz
4. Detect and Visualize Outliers
  • Explore outliers and outlier detection
  • Create an outlier detection model in R
  • Visualize data for outlier detection in Tableau
  • Add an R outlier detection model to a Tableau viz
5. Define and Visualize Clustering Models
  • Explore clustering algorithms
  • Create a centroid-based clustering model in R
  • Visualize clustered data in Tableau
  • Add an R clustering model to a Tableau viz
6. Classify Data Using Logistic Regression
  • Explore logistic regression algorithms
  • Create a logistic regression model in R
  • Visualize data for logistic regression in Tableau
  • Add an R logistic regression model to a Tableau viz
7. Classify Data Using Support Vector Machines
  • Explore support vector machine algorithms
  • Create a support vector machine model in R
  • Visualize support vector machine data in Tableau
  • Add an R support vector machine model to a Tableau viz
8. Visualize Random Forest Analysis Data in Tableau
  • Explore random forest analysis
  • Create a random forest analysis model in R
  • Visualize data for random forest analysis in Tableau
  • Add a random forest analysis model to a Tableau viz
Conclusion
  • Next steps

Taught by

Curt Frye

Related Courses

Clustering Geolocation Data Intelligently in Python
Coursera Project Network via Coursera
Mining Data to Extract and Visualize Insights in Python
Coursera Project Network via Coursera
【キカガク流】人工知能・機械学習 脱ブラックボックス講座 - 中級編 -
Udemy
Excel: Analytics Tips
LinkedIn Learning
Integrating Tableau and R for Data Science
LinkedIn Learning