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A free, open, goal-oriented learning map for practical data science, machine-learning foundations, and responsible AI. This resource routes learners and instructors into four connected resource sets: a Readiness Arcade for math, Python, probability, NumPy, validation, and evidence habits; CSCI 1109 Practical Data Science; CSCI 3151 Foundations of Machine Learning; and Responsible AI by Design for leadership, governance, fairness, privacy, procurement, and deployment decisions. The page indexes 130+ modules and supports multiple entry points by learner goal, keyword, topic, or module map. It is suitable for undergraduate computing/data-science courses, self-directed learners, professional development, public-sector AI literacy, and public-interest teams moving from evidence to models to responsible deployment.

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