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.