Tableau and R for Analytics Projects
- Offered byLinkedin Learning
Tableau and R for Analytics Projects at Linkedin Learning Overview
Duration | 3 hours |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Tableau and R for Analytics Projects at Linkedin Learning Highlights
- Earn a certificate of completion from LinkedIn Learning
- Learn from expert faculty
- Access on tablet and phone
Tableau and R for Analytics Projects at Linkedin Learning Course details
- Data analysts seeking to enhance visualization and statistical analysis skills
- Master data visualization techniques in Tableau
- Develop advanced statistical analysis skills using R
- Integrate Tableau and R for comprehensive analytics projects
- Interpret data insights effectively
- 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
Tableau and R for Analytics Projects at Linkedin Learning Curriculum
Introduction
Include R analyses in your Tableau visualizations
What you should know
Introducing Tableau and R
Compare the strengths of Tableau and R
See how R and Tableau can work together
Prepare for Analysis with Tableau and R
Import data into R
Create calculations in R
Create and Visualize Linear Regression Models
Linear regression and multiple regression models
Create a single- and multiple-variable linear regression model in R
Detect and Visualize Outliers
Explore outliers and outlier detection
Create an outlier detection model in R
Define and Visualize Clustering Models
Explore clustering algorithms
Create a centroid-based clustering model in R
Classify Data Using Logistic Regression
Explore logistic regression algorithms
Create a logistic regression model in R
Classify Data Using Support Vector Machines
Explore support vector machine algorithms
Create a support vector machine model in R
Visualize Random Forest Analysis Data in Tableau
Explore random forest analysis
Create a random forest analysis model in R
Tableau and R for Analytics Projects at Linkedin Learning Faculty details
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