Global Certificate in Clustering Analysis for Analysts
-- ViewingNowThe Global Certificate in Clustering Analysis for Analysts is a comprehensive course that equips learners with the essential skills needed to excel in data analysis and cluster analysis. This certification course is crucial in today's data-driven world, where businesses rely heavily on data analysis to make informed decisions.
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โข Introduction to Clustering Analysis: Defining clustering analysis, its importance, and applications
โข Data Preprocessing for Clustering: Data cleaning, normalization, transformation, and dimensionality reduction
โข Distance Measures: Understanding and calculating distances between data points
โข Partitioning Methods: K-means, K-medoids, and their variations
โข Hierarchical Clustering: Agglomerative and divisive methods, dendrograms, and linkage criteria
โข Density-Based Clustering: DBSCAN, OPTICS, and their variations
โข Evaluation of Clustering Results: Internal and external evaluation metrics, silhouette analysis, and visualization techniques
โข Clustering Large Datasets: Scalable algorithms, sampling techniques, and distributed computing
โข Real-World Clustering Analysis: Case studies, best practices, and ethical considerations
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