Data Science for Beginners (github.com)

Microsoft Azure Cloud Advocates published a free, project-driven "Data Science for Beginners" curriculum: a 10-week, 20-lesson series that bundles pre- and post-lesson quizzes, written instructions, step‑by‑step project guides, solutions and assignments. The course covers foundations (statistics, data ethics, defining data), hands‑on tooling (Python with Pandas, Matplotlib), data stores (SQL and NoSQL), data preparation, visualization techniques, the data‑science lifecycle, and cloud topics such as low‑code model training and deployment with Azure Machine Learning Studio. The repo includes 40 three-question quizzes (quiz-app deployable to Azure), beginner examples (Hello World, loading data, basic viz, full workflow), Codespaces and devcontainer guidance, and Docsify for offline docs. Why it matters: the curriculum is designed to lower the barrier for students and educators by emphasizing small, cumulative projects, frequent low‑stakes quizzes for retention, and broad localization (dozens of languages). Its integration with reproducible environments (Docker/devcontainers, GitHub Codespaces) and Azure deployment examples gives learners practical experience in modern data‑science workflows and MLOps primitives, while the teacher/assignment structure and community channels (Student Ambassadors, Discord) make it easy to adopt in classrooms or self‑study—potentially accelerating talent development and driving wider, hands‑on adoption of Azure data‑science tooling.