A complete, beginner-friendly data science course that teaches students how to analyze data, build ML models, and solve real-world problems using Python. Topics include NumPy, Pandas, visualization, data wrangling, EDA, linear algebra, statistics, regression, classification, clustering, PCA, and more—ending with hands-on projects and an introduction to computer vision. (Note: $60 materials fee)