Executive Development Programme in Clustering for Strategic Decision-Making
-- ViewingNowThe Executive Development Programme in Clustering for Strategic Decision-Making is a certificate course that holds immense importance in today's data-driven world. This programme aids professionals in mastering the art of data analysis and interpretation, enabling them to make informed, strategic decisions.
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โข Introduction to Clustering: Defining clustering, understanding its importance, and exploring various clustering techniques.
โข Data Preprocessing: Data cleaning, normalization, and transformation to prepare data for clustering analysis.
โข Distance Measures: Understanding the role of distance measures in clustering, including Euclidean, Manhattan, and Minkowski distances.
โข Hierarchical Clustering: Hierarchical clustering techniques, including agglomerative and divisive methods, and their applications.
โข Partitioning Methods: K-means and K-medoids clustering techniques and their strengths and weaknesses.
โข Density-Based Clustering: DBSCAN, OPTICS, and other density-based clustering techniques to identify clusters of arbitrary shape.
โข Clustering Validation: Evaluating clustering results through internal and external validation methods.
โข Clustering for Strategic Decision-Making: Applying clustering techniques to real-world business problems, including customer segmentation, supply chain optimization, and market research.
โข Visualizing Clusters: Techniques for visualizing clusters, including scatter plots, dendrograms, and parallel coordinate plots.
โข Advanced Clustering Techniques: Exploring advanced clustering techniques, such as subspace clustering, co-clustering, and ensemble clustering.
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