Data Mining

Learn what data mining is, why it matters for business, and how to get started with basic techniques.

Learn how businesses use web scraping for price intelligence and market analysis. Understand the key legal and ethical rules before you start.

Learn how businesses use sequence, clustering, and anomaly patterns to drive revenue and prevent fraud. This lesson includes real-world examples from Amazon and Spotify.

A hands-on guide to practical data mining using Python. Learn the 5-step workflow to solve real business problems with Pandas and Scikit-learn.

Learn the difference between data-driven (exploratory) and problem-driven (targeted) approaches. This lesson uses a simple cooking analogy to help you frame your project for success and justify its business value.

Learn how deep clustering combines deep learning with unsupervised learning to overcome the "curse of dimensionality" and find meaningful patterns in complex datasets like images and text.