Cluster Analysis- Theory & workout using SAS and R

BY
Udemy

Mode

Online

Fees

₹ 3099

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course and certificate fees

Fees information
₹ 3,099
certificate availability

Yes

certificate providing authority

Udemy

The syllabus

Overall structure of the course

  • Course details - what is in four parts

Part 01 - Cluster Analysis using SAS

  • What is covered in part 01 - cluster analysis using SAS
  • Intuitive Understanding of clusters
  • Difference between Cluster Analysis & Decision tree ( Objective segmentation)

Motivation, Industry Applications & clustering as strategy. Industry Case study

  • Motivation to learn Clustering
  • Popular Industry Applications of Clustering
  • Clustering as strategy and Industry Case Study
  • Check Basic Understanding of cluster analysis
  • PDF for above lectures

Hierarchical Clustering

  • Section outline - what will be explained in this section?
  • Hierarchical Clustering High Level
  • Hierarchical Clustering Steps and Associated terms
  • How to get free access to SAS?
  • Hierarchical Clustering Using SAS and Interpretation of The Output
  • Hierarchical Clustering Using Excel and explanation of SAS Output
  • Download resources files (Excel).
  • Scree Plot - to decide optimal number of clusters
  • Why to standardize variables
  • Dendrogram- The hierarchical structure
  • When to go for Non Hierarchical clustering
  • Check Basic Understanding of Hierarchical clustering
  • Section - pdf

Non Hierarchical clustering - K means clustering

  • Section outline - what will be explained in this section
  • K means clustering alogorithm
  • Graphical Explanation of K means clustering
  • Hierarchical vs Non Hierarchical clustering
  • K means clustering for Data Mining
  • K means clustering using SAS
  • SAS output Explanation pass 01
  • SAS output Explanation pass 02
  • Section PDF
  • Section FAQ - Non Hierarchical Clustering

Variants of Hierarchical clustering, Different distance and linkage functions

  • Section Outline
  • Agglomerative and Divisive Hierarchical Clustering
  • Generic Distance formula
  • Different Linkage function
  • Check Basic Understanding of Non Hierarchical clustering and various options
  • Section PDF
  • How to download Excel files?

Part 02- cluster Analysis using R

  • Introduction to Cluster Analysis Using R
  • Details of Hierarchical clustering Function in R
  • Demo of Hierarchical clustering using R
  • Scree plot for hierarchical clustering in R
  • Details of Non Hierarchical clustering Function in R
  • Demo of Non Hierarchical clustering using R

Part 03 - Cluster Analysis in data mining scenario (industrial set up)

  • Section Overview
  • Dealing with Nominal Categorical Variable
  • Dealing with Ordinal Categorical Variable
  • Dealing with Missing Value of a Numeric Variable
  • Outlier detection n Treatment
  • Standardize Numeric Variable
  • Select Numeric Variables by Variable Clustering
  • Iterate for final clusters
  • Business Presentation of cluster solution

Demo of clustering approach for data mining scenario using R

  • Data Detail n Data Sanity check
  • Prepare Data for clustering
  • Variable selection by Variable clutsering
  • decide final number of clusters
  • Iterate for final cluster
  • Investigate the clusters
  • Business Presentation of cluster solution
  • Concluding Tips

Part 04 - Practice Assignment and model solution

  • Practice
  • Model solution
  • FAQ (will keep growing overtime based on student's queries)
  • Bonus Topic - Analytics / Data Science / Machine Learning Interview questions

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