Decision tree courses can help you learn how to create, interpret, and optimize decision trees for data analysis, classification, and regression tasks. You can build skills in feature selection, model evaluation, and understanding overfitting versus underfitting. Many courses introduce tools like Python's scikit-learn, R's rpart, and various visualization software, that support implementing decision trees and analyzing their performance in real-world datasets.