Open teaching resources for data analytics, visualization, cloud computing, and AI-assisted workflows.

This organization is an independently maintained collection of public course materials, examples, labs, and interactive learning resources. Select a course below to open its published course site.

IA 340 — Data Mining, Modeling, and Knowledge Discovery Modern data analytics with Python, cloud databases, data mining, and AI-assisted analysis. Open Course → GitHub Repository

IA 342 — Visualization Methods, Technologies, and Tools Visual design, spatial intelligence, ArcGIS, Tableau, dashboards, and evidence-based visual communication. Open Course → GitHub Repository

• One course = one public repository and one published course site.
• Course repositories contain public teaching materials, labs, examples, and reusable learning resources.
• Private student data, submissions, grades, credentials, and internal Canvas operations are kept outside the public repositories.

These resources are maintained by Dr. Xuebin Wei, Associate Professor in the School of Integrated Sciences at James Madison University.

His teaching and research focus on data science, artificial intelligence, cloud computing, GIS/geospatial analysis, and social data analytics.

GitHub Profile · JMU Faculty Profile · School of Integrated Sciences · IA 340 Course Site · IA 342 Course Site