Clustering Analysis

This one helps you partition datasets into natural groups without needing predefined labels. It covers customer segmentation, market analysis, and pattern discovery across everything from purchasing behavior to gene expression data. The skill walks through different clustering algorithms and when to apply them, which is actually useful since choosing between k-means, hierarchical, or density-based methods isn't always obvious. It's more of a structured reference than a hands-on implementation guide, so you'll still need to know your way around the actual libraries. Good for getting oriented on approach before you dive into code, especially if you're working with messy real-world data where the categories aren't clear upfront.