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Cluster Analysis

WIELD RESEARCH-BASED INSIGHTS ON MARKET SEGMENTS TO BUILD & DELIVER SUPERIOR VALUE

Craft customer profiles to conduct a deep dive into consumption behavior to generate foresight that aid marketing decision making

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Key Highlights

Course Length

2 Weeks

100% Online

With Continuous Learning Community support + Monthly Live Webinars​

Effort

4-5 Hours/Week

Learning Access

Resource Toolkit & Templates + Unlimited Networking Events

Fastest Way to Understand the nuances of end to end Product Design, UX & UI Design with simple and yet complete coverage on concepts, frameworks to interlock with Design teams
Jaya S
Product Manager, VMWare
Moving from a Graphic Design role in UX & Product Design, the course helped me gain confidence and structure for things i was already doing intuitively and adhocly.
Sudha M
Designer, RazorPay

What will you Learn?

  • Overview of Data Analytics
  • Data-Driven Market Segmentation
  • Hierarchical Clustering and K- Means Clustering
  • Applying Cluster Analysis to Identify and Segment Markets
  • Market Segmentation Using Metric & Categorical Data

Top skills you will learn

  • Clustering with Categorical Data
  • Clustering Methods
  • Data Analytics tools & techniques
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Course Curriculum

  • 1.1: Course Introduction
  • 1.2: Course Objective
  •    2.1: Overview of Data Analytics Tools
  •    2.2: Data Analytics Techniques
  •    3.1: Introduction to Data-driven Segmentation
  •    3.2: Activity: Using Scatter Plot with MobiSmart Data
  •    3.3: R 01 – Read Data
  •    3.4: R 02 – Scatter Plot
  •    4.1: What is Cluster Analysis?
  •    4.2: Dendogram
  •    4.3: R 03 – HAC
  •    4.4: R 04 – Dendrogram
  •    4.5: R 05 – Scree Plot
  •    4.6: Similarity Measures
  •    5.1: Hierarchical Clustering
  •    5.2: Linkage in Hierarchical Clustering
  •    5.3: K-Means Clustering
  •    5.4: Activity: K-Means solution for MobiSmart
  •    5.5: R 06 – K-Means
  •    6.1: Identifying Market Segments
  •    6.2: Effective Segmentation
  •    6.3: Activity: MobiSmart – Segment Data
  •    7.1: Clustering With Qualitative Data – Analysing Responses
  •    7.2: Clustering With Qualitative Data – Measuring association
  •    8.1: Quiz
  •    8.2: Summary

Ideal For

Product Managers, Marketing Professionals, Sales Professionals, anyone interested in Data Science

Common Scenarios to Enroll

Generate Deep Insights
Generate Deep InsightsYou want to go beyond surface-level assessments of customers to understand their consumption lifestyle with acute clarity
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Pilot Targeted Micromarketing
Pilot Targeted MicromarketingYou want to make marketing decisions in line with behavioral impulses of micro-segments for enhanced value impact
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Unravel Behavioral Dynamics
Unravel Behavioral DynamicsRecognizing the importance of tapping into latent needs, you intend to use research techniques and methods to decipher buyer impulses
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In an increasingly customer-centric world, the ability to capture and use customer insights to shape products, solutions, and the buying experience as a whole is critically important.

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