Data Mining in Python
Completed by Daniel Borda Molina
January 12, 2026
53 hours (approximately)
Daniel Borda Molina's account is verified. Coursera certifies their successful completion of Data Mining in Python
What you will learn
Understand basic concepts, tasks, and procedures of data mining.
Formulate real-world information using basic data representations: itemsets, vectors, matrices, sequences, time series, and networks.
Use data mining algorithms to extract patterns and similarities from real-world datasets.
Calculate the importance of patterns and prepare for downstream machine-learning tasks.
Skills you will gain
- Category: Statistical Methods
- Category: Python Programming
- Category: Classification Algorithms
- Category: Data Mining
- Category: Unsupervised Learning
- Category: Data Science
- Category: Machine Learning Methods
- Category: Linear Algebra
- Category: Anomaly Detection
