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