Certificate in Clustering Analysis: Essential Skills
-- ViewingNowThe Certificate in Clustering Analysis: Essential Skills is a comprehensive course designed to equip learners with the necessary skills to excel in data analysis. This certificate course is critical in today's data-driven world, where businesses rely on data to make informed decisions.
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โข Introduction to Clustering Analysis: Defining clustering analysis, its importance, and applications.
โข Data Preprocessing: Data cleaning, normalization, and transformation for clustering.
โข Distance Measures: Understanding and applying various distance measures for clustering.
โข Hierarchical Clustering: Agglomerative and divisive methods, linkage criteria, and dendrograms.
โข Partitioning Methods: K-means, K-medoids, and their variations.
โข Cluster Evaluation: External, internal, and relative validation methods for assessing clustering results.
โข Density-Based Clustering: DBSCAN, OPTICS, and their applications.
โข Clustering Large Datasets: Scalable algorithms and techniques for handling big data.
โข Case Studies: Real-world examples of clustering analysis in various industries.
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