Data Mining in Python
Completed by Alexander Marsh
May 5, 2026
53 hours (approximately)
Alexander Marsh'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: Data Mining
- Category: Machine Learning Methods
- Category: Python Programming
- Category: Data Science
- Category: Unsupervised Learning
- Category: Classification Algorithms
- Category: Linear Algebra
- Category: Anomaly Detection
- Category: Statistical Methods
