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 Methods
- Category: Exploratory Data Analysis
- Category: Unsupervised Learning
- Category: Machine Learning
- Category: Data Mining
- Category: Algorithms
- Category: Machine Learning Algorithms
- Category: Dimensionality Reduction
- Category: Model Evaluation
- Category: Data Analysis
- Category: Applied Machine Learning
