Customer Segmentation Using Clustering
Offered By: Great Learning via YouTube
Course Description
Overview
Explore customer segmentation techniques through a comprehensive 58-minute video tutorial on clustering. Learn about four different clustering methods - KMeans, DBSCAN, MeanShift, and Agglomerative - and their applications in dividing customer data into meaningful groups. Discover how to identify similarities within data points and assign them to appropriate clusters. Gain insights into the fundamentals of clustering, various techniques, and important considerations. Follow along with a practical case study to reinforce your understanding of customer segmentation using real-world data from mall visitors. Enhance your data analysis skills and learn how to extract valuable insights for targeted marketing strategies and improved customer understanding.
Syllabus
- Introduction.
- Objectives.
- Introduction to Clustering.
- Clustering Techniques.
- Points to Ponder.
- KMeans.
- DBSCAN.
- MeanShift.
- Hierarchical Clustering.
- Case Study.
Taught by
Great Learning
Related Courses
Social Network AnalysisUniversity of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX