This course covers Python programming, data structures, and functions, leading into machine learning concepts like regression, classification, and clustering. Advanced topics include decision trees, ensemble learning, feature selection, and cross-validation. Practical applications involve real-world datasets, visualization, and data preprocessing. The course concludes with career support.