Data Mining - Clustering/Segmentation Using R, Tableau
- 3.9
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Brief Introduction
Learn Data Mining - Clustering Segmentation Using R,TableauDescription
Learn Data Mining - Clustering Segmentation Using R,Tableau is designed to cover majority of the capabilities of R from Analytics & Data Science perspective, which includes the following:
- Learn about the usage of R for building Various models
- Learn about the K-Means clustering algorithm & how to use R to accomplish the same
- Learn about the science behind Clustering & accomplish the same using R and Tableau
Course is structured to start with introduction to the tool & the principles behind Clustering Using R tool. From there R is explained thoroughly including analytical concepts behind applicable Data Mining Techniques. Finally course ends with explanation of clustering using Tableau and statistics behind clustering along with interview questions for job seekers
Requirements
- Requirements
- Knowledge of High school level Mathematics and Statistics
- Rudimentary knowledge of any programming knowledge though not essential will be an added plus.
- Download R & RStudio before starting this tutorial
- Download all the datasets provided as part of this program to be able to practice & replicate the visualisations
- Download Tableau Desktop Professional software from Tableau website
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Data Mining - Clustering/Segmentation Using R, Tableau
- 3.9
-
![]()
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![]()
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Learn Data Mining - Clustering Segmentation Using R,Tableau Course is structured to start with introduction to the tool & the principles behind Clustering Using R tool....
