Data Science for Business Professionals
$99
4.5 (1725)
Rated 4.5 out of 5
Duration
2 Weeks (30+ Lessons) at 4-5 Hours/Week
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
Course Length
2 Weeks
Effort
4-5 Hours/Week
100% Online
With Continuous Learning Community support + Monthly Live Webinars
Learning Access
Resource Toolkit & Templates + Unlimited Networking Events
What will you Learn?
- Overview of cluster analysis that includes topics like Data Analytics
- This marketing analytics course will teach you Data-Driven Market Segmentation
- Hierarchical Clustering and K- Means Clustering
- Applying cluster analysis to Identify and Segment Markets
- Market Segmentation Using Metric & Categorical Data
Key Topics Covered
- Clustering with Categorical Data
- Clustering Methods
- Data Analytics tools & techniques
Course Content
Chapter 1 - Introduction
1.1: Course Introduction
1.2: Course Objective
1.2: Course Objective
Chapter 2 - Overview of Data Analytics Techniques
2.1: Overview of Data Analytics Tools
2.2: Data Analytics Techniques
2.2: Data Analytics Techniques
Chapter 3 - Data-driven Market Segmentation
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
3.2: Activity: Using Scatter Plot with MobiSmart Data
3.3: R 01 – Read Data
3.4: R 02 – Scatter Plot
Chapter 4 - Cluster Analysis
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
4.2: Dendogram
4.3: R 03 – HAC
4.4: R 04 – Dendrogram
4.5: R 05 – Scree Plot
4.6: Similarity Measures
Chapter 5 - Clustering Methods
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
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
Chapter 6 - Segmenting Markets
6.1: Identifying Market Segments
6.2: Effective Segmentation
6.3: Activity: MobiSmart – Segment Data
6.2: Effective Segmentation
6.3: Activity: MobiSmart – Segment Data
Chapter 7 - Clustering with Categorical Data
7.1: Clustering With Qualitative Data – Analysing Responses
7.2: Clustering With Qualitative Data – Measuring association
7.2: Clustering With Qualitative Data – Measuring association
Chapter 8 - Summary
8.1: Quiz
8.2: Summary
8.2: Summary
What Learners Say About Our Program
Ideal For
Product Managers, Marketing Professionals, Sales Professionals, anyone interested in Data Science
Preparing you for Global Certification
Get an Industry accepted Cluster Analysis certification from IPL that enhances your professional equity and bolsters your career profile.
Common Scenarios to Enroll
"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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