Data Mining in Python
Completed by Eduard Ignea
May 1, 2026
53 hours (approximately)
Eduard Ignea'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: Unsupervised Learning
- Category: Python Programming
- Category: Data Science
- Category: Classification Algorithms
- Category: Machine Learning Methods
- Category: Data Mining
- Category: Statistical Methods
- Category: Linear Algebra
- Category: Anomaly Detection
