Use case examples for Python and R 

Objective: Create applied, data science use cases that help learners practice Python/R, data analysis, and machine learning in realistic scenarios. Funded as student-supported projects, created with Dominic Disanto (Pitt Public Health, Masters in Bio-Statistics) 

Task: Developed standalone use case folders that include learner-facing prompts, relevant datasets, competency-aligned questions, and guided walkthroughs. Each use case is designed to simulate an applied analytical problem and support learners in moving from raw data to interpretation, analysis, and communication of results.

Deliverables:
Student assessment prompts, CSV datasets, Jupyter Notebook walkthrough solutions, supporting instructor materials, and selected RMarkdown/HTML walkthroughs.

Evidence:
Use case folders containing files, data files, Python walkthrough notebooks, instructor materials, and R-based walkthroughs that parallel the Python solutions.