- Course details - what is in four parts
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Quick facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
certificate availability
certificate providing authority
The syllabus
Overall structure of the course
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