Clustering Analysis
Completed by Antony PRIEM
February 14, 2026
37 hours (approximately)
Antony PRIEM'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
- Category: Data Mining
- Category: Algorithms
- Category: Unsupervised Learning
- Category: Data Analysis
- Category: Model Evaluation
- Category: Dimensionality Reduction
- Category: Exploratory Data Analysis
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Machine Learning Algorithms
