Instructor of Record

STA 101: Data Analysis and Statistical Inference

Summer 2024 – Duke University, Department of Statistical Science

  • Developed and implemented a complete, statistics curriculum (lectures, assignments, and labs) for STA 101, focusing on data-driven reasoning, reproducible workflows, and computational methods using R and Quarto.
  • Led daily lectures and two weekly computational labs for 6 students.
  • Engineered a public-facing, centralized course website using Quarto and GitHub Pages to provide students with seamless navigation to all course materials and facilitate open science practices.
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