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