Clustering Analysis
Completed by Devabhathini Chirukesh
March 26, 2026
37 hours (approximately)
Devabhathini Chirukesh's account is verified. Coursera certifies their successful completion of Clustering Analysis
What you will learn
Understand the principles and significance of unsupervised learning, particularly clustering and dimension reduction.
Apply clustering techniques to diverse datasets for pattern discovery and data exploration.
Implement Principal Component Analysis (PCA) for dimension reduction and interpret the reduced feature space.
Skills you will gain
- Category: Machine Learning Algorithms
- Category: Machine Learning
- Category: Algorithms
- Category: Data Mining
- Category: Machine Learning Methods
- Category: Exploratory Data Analysis
- Category: Data Analysis
- Category: Model Evaluation
- Category: Dimensionality Reduction
- Category: Applied Machine Learning
- Category: Unsupervised Learning

