Data Mining – Clustering/Segmentation Using R, Tableau

Data Mining – Clustering/Segmentation Using R, Tableau, available at $59.99, has an average rating of 3.75, with 45 lectures, 4 quizzes, based on 93 reviews, and has 1658 subscribers.

You will learn about Understand the various types of Data Mining Techniques Learn about the K-Means clustering algorithm & how to use R to accomplish this This course is ideal for individuals who are All working professionals whose organization uses/creates data or Personnel who want to make their foray into Data Science It is particularly useful for All working professionals whose organization uses/creates data or Personnel who want to make their foray into Data Science.

Enroll now: Data Mining – Clustering/Segmentation Using R, Tableau

Summary

Title: Data Mining – Clustering/Segmentation Using R, Tableau

Price: $59.99

Average Rating: 3.75

Number of Lectures: 45

Number of Quizzes: 4

Number of Published Lectures: 45

Number of Published Quizzes: 4

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the various types of Data Mining Techniques
Learn about the K-Means clustering algorithm & how to use R to accomplish this

Who Should Attend

All working professionals whose organization uses/creates data
Personnel who want to make their foray into Data Science

Target Audiences

All working professionals whose organization uses/creates data
Personnel who want to make their foray into Data Science

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

Course Curriculum

Chapter 1: Clustering using R

Lecture 1: Introduction to Clustering Using R and Tableau

Lecture 2: Introduction To Clustering

Lecture 3: Types Of Data Mining Techniques

Lecture 4: Hierarchical Clustering Introduction

Lecture 5: Hierarchical Clistering Case Study

Lecture 6: Distance For Categorical Data

Lecture 7: Distance Between Clusters With Case Study

Lecture 8: Distance For Mixed Data Case Study Part 1

Lecture 9: Distance For Mixed Data Case Study Part 2

Lecture 10: Hierarchical Clustering Synopsis

Lecture 11: Hierarchical Clustering Using R Part 1

Lecture 12: Hierarchical Clustering Using R Part 2

Lecture 13: K Means Clustering Introduction

Lecture 14: K Means Clustering Using R – Part 1

Lecture 15: K Means Clustering Using R – Part 2

Lecture 16: K Means Clustering Using R – Part 3

Lecture 17: kselection, CLARA and PAM Clustering Using R – Part 4

Lecture 18: Difference Between K Means And Hierarchical

Lecture 19: Summary Of K Means Clustering

Lecture 20: K Means Clustering Case Study

Lecture 21: Recap Data Mining Clustering

Chapter 2: Understanding Tableau

Lecture 1: Introduction Why Tableau..?

Lecture 2: Tableau Analytics – Ice breaker

Lecture 3: Tableau Architecture Part 1

Lecture 4: Tableau Architecture Part 2

Lecture 5: Tableau Architecture Part 3

Lecture 6: An Introduction to Tableau Desktop and History of Tableau

Lecture 7: Tableau Start Page

Lecture 8: Location Based Analytics using Tableau

Lecture 9: Tableau User Interface

Lecture 10: Basic Tableau Visualization

Chapter 3: Prerequisite to Understand Clustering

Lecture 1: Analysis of Variance(ANOVA) – Part 1

Lecture 2: Analysis of Variance(ANOVA) – Part 2

Lecture 3: Statistics of ANOVA

Chapter 4: Clustering using Tableau

Lecture 1: CLUSTERING USING TABLEAU

Lecture 2: Statistics of Clustering

Lecture 3: Statistics of Clustering using Tableau

Lecture 4: Whats Next…..?

Chapter 5: Quiz – Cluster Analysis knowledge check

Chapter 6: Clustering on Mixed Data

Lecture 1: Mixed data-Dummy variable creation for Categorical variables

Lecture 2: Mixed data-Normalizing entire data to a similar scale

Lecture 3: Mixed data – Distance Matrix, Hierarchy and Dendrogram

Lecture 4: Mixed data-Hierarchical clustering and interpretation

Lecture 5: Mixed data-Scree plot / Elbow curve part1

Lecture 6: Mixed data-Scree plot / Elbow curve part2

Lecture 7: Mixed data-K Means clustering and Insights

Instructors

ExcelR Solutions
Pioneer in professional management trainings & consulting

Rating Distribution

1 stars: 4 votes
2 stars: 3 votes
3 stars: 10 votes
4 stars: 33 votes
5 stars: 43 votes

Frequently Asked Questions

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