Udemy
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
Development
Web Development Data Science Mobile Development Programming Languages Game Development Database Design & Development Software Testing Software Engineering Software Development Tools No-Code Development
Business
Entrepreneurship Communication Management Sales Business Strategy Operations Project Management Business Law Business Analytics & Intelligence Human Resources Industry E-Commerce Media Real Estate Other Business
Finance & Accounting
Accounting & Bookkeeping Compliance Cryptocurrency & Blockchain Economics Finance Finance Cert & Exam Prep Financial Modeling & Analysis Investing & Trading Money Management Tools Taxes Other Finance & Accounting
IT & Software
IT Certifications Network & Security Hardware Operating Systems & Servers Other IT & Software
Office Productivity
Microsoft Apple Google SAP Oracle Other Office Productivity
Personal Development
Personal Transformation Personal Productivity Leadership Career Development Parenting & Relationships Happiness Esoteric Practices Religion & Spirituality Personal Brand Building Creativity Influence Self Esteem & Confidence Stress Management Memory & Study Skills Motivation Other Personal Development
Design
Web Design Graphic Design & Illustration Design Tools User Experience Design Game Design 3D & Animation Fashion Design Architectural Design Interior Design Other Design
Marketing
Digital Marketing Search Engine Optimization Social Media Marketing Branding Marketing Fundamentals Marketing Analytics & Automation Public Relations Paid Advertising Video & Mobile Marketing Content Marketing Growth Hacking Affiliate Marketing Product Marketing Other Marketing
Lifestyle
Arts & Crafts Beauty & Makeup Esoteric Practices Food & Beverage Gaming Home Improvement & Gardening Pet Care & Training Travel Other Lifestyle
Photography & Video
Digital Photography Photography Portrait Photography Photography Tools Commercial Photography Video Design Other Photography & Video
Health & Fitness
Fitness General Health Sports Nutrition & Diet Yoga Mental Health Martial Arts & Self Defense Safety & First Aid Dance Meditation Other Health & Fitness
Music
Instruments Music Production Music Fundamentals Vocal Music Techniques Music Software Other Music
Teaching & Academics
Engineering Humanities Math Science Online Education Social Science Language Learning Teacher Training Test Prep Other Teaching & Academics
Web Development JavaScript React Angular CSS Node.Js HTML5 PHP Vue JS
AWS Certification Microsoft Certification AWS Certified Solutions Architect - Associate AWS Certified Cloud Practitioner CompTIA A+ Amazon AWS Cisco CCNA Microsoft AZ-900 AWS Certified Developer - Associate
Microsoft Power BI SQL Tableau Data Modeling Business Analysis Business Intelligence MySQL Qlik Sense Blockchain
Unity Unreal Engine Game Development Fundamentals C# 3D Game Development C++ Unreal Engine Blueprints 2D Game Development Virtual Reality
Google Flutter Android Development iOS Development React Native Swift Dart (programming language) Mobile App Development Kotlin SwiftUI
Graphic Design Photoshop Adobe Illustrator Drawing Digital Painting Canva InDesign Character Design Procreate Digital Illustration App
Life Coach Training Neuro-Linguistic Programming Personal Development Personal Transformation Life Purpose Mindfulness Meditation CBT Cognitive Behavioral Therapy Sound Therapy
Entrepreneurship Fundamentals Business Fundamentals Freelancing Business Strategy Startup Business Plan Online Business Blogging Home Business
Digital Marketing Social Media Marketing Marketing Strategy Internet Marketing Google Analytics Copywriting Email Marketing YouTube Marketing Podcasting

DevelopmentData ScienceCluster Analysis

Cluster Analysis- Theory & workout using SAS and R

Unsupervised Machine Learning : Hierarchical & non hierarchical clustering (k-means), theory & SAS / R program
Rating: 4.5 out of 54.5 (261 ratings)
1,943 students
Created by Gopal Prasad Malakar
Last updated 1/2021
English
English

What you'll learn

  • Learn cluster analysis in crystal clear and simple way
  • Learn hierarchical and non-hierarchical clustering
  • Know theory, business apllication, sas program and interpretation of output
  • R syntax for clustering

Requirements

  • Basic understanding of statistics
  • Basic knowledge of SAS
  • Basic knowledge of R

Description

  1. About the course - Cluster analysis is one of the most popular techniques used in data mining for marketing needs. The idea behind cluster analysis is to find natural groups within data in such a way that each element in the group is as similar to each other as possible. At the same time, the groups are as dissimilar to other groups as possible.
  2. Course materials- The course contains video presentations (power point presentations with voice), pdf, excel work book and sas codes.
  3. Course duration- The course should take roughly 10 hours to understand and internalize the concepts.
  4. Course Structure (contents) The structure of the course is as follows.

Part 01 - cluster analysis theory and workout using SAS

------------------------------

Motivation –

  • Where one applies cluster analysis. Why one should learn cluster analysis?
  • How it is different from objective segmentation (CHAID / CART )

Statistical foundation and practical application: Understand

  • Different type of cluster analysis
  • Cluster Analysis – high level view
  • Hierarchical clustering –
    • Agglomerative or Divisive technique
    • Dendogram – What it is? What does it show?
    • Scree plot - How to decide about number of clusters
    • How to use SAS command to run hierarchical clustering
    • When and why does on need to standardize the data?
    • How to understand and interpret the output
  • Non-hierarchical clustering (K means clustering).
    • Why do we need k means approach
    • How does it work?
    • How does it iterate?
    • How does it decide about combining old clusters?
    • How to use SAS command to run hierarchical clustering
    • When and why does on need to standardize the data?
    • How to understand and interpret the output

Part 02

---------------------

Learn R syntax for hierarchical and non hierarchical clustering

Part 03

------------------

Cluster analysis in data mining scenario

Part 04

----------------

Assignment on cluster analysis

Who this course is for:

  • statistics and analytics professionals / students

Instructor

Gopal Prasad Malakar
Trains Industry Practices on data science / machine learning
Gopal Prasad Malakar
  • 4.2 Instructor Rating
  • 10,314 Reviews
  • 109,837 Students
  • 17 Courses

       I am a seasoned Analytics professional with 20+ years of professional experience. I have industry experience of impactful and actionable analytics, data science, decision strategy and enterprise wise data strategy. 

I am a keen trainer, who believes that training is all about making users understand the concepts. If students remain confused after the training, the training is useless. I ensure that after my training, students (or partcipants) are crystal clear on how to use the learning in their business scenarios. 

My expertise is in Credit Card Business, Scoring (econometrics based model development), score management, loss forecasting, business intelligence systems like tableau /SAS Visual Analytics, MS access based database application development,  Enterprise wide big data framework and streaming analysis. 

Please refer to my course for 

- SAS / R program details (syntax and options)

- SAS / R output deep dive

- Practical usage in Industrial situation

Top companies choose Udemy Business to build in-demand career skills.
NasdaqVolkswagenBoxNetAppEventbrite
  • Udemy Business
  • Teach on Udemy
  • Get the app
  • About us
  • Contact us
  • Careers
  • Blog
  • Help and Support
  • Affiliate
  • Investors
  • Impressum Kontakt
  • Terms
  • Privacy policy
  • Cookie settings
  • Sitemap
  • Accessibility statement
Udemy
© 2022 Udemy, Inc.