Clustering Analysis
Completed by Ekaterina Markus
November 28, 2025
37 hours (approximately)
Ekaterina Markus'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: Unsupervised Learning
- Category: Machine Learning Methods
- Category: Exploratory Data Analysis
- Category: Model Evaluation
- Category: Machine Learning
- Category: Data Mining
- Category: Data Analysis
- Category: Algorithms
- Category: Machine Learning Algorithms
- Category: Applied Machine Learning
- Category: Dimensionality Reduction
