Spring 2025
This section contains archived materials from the Spring 2025 semester of ESPM-288: Reproducible & Collaborative Data Science.
| Logistics | âšī¸ |
|---|---|
| đ¤ Instructor | Carl Boettiger |
| đ Location | Mulford 103 |
| đ Days | Mon / Weds |
| â° Time | 10:10a - 11:30a |
Course Overview
Spring 2025 provided an introduction to Python and explored reliable, responsible, and reproducible use of Large Language Models (LLMs) in the data science context.
Our approach to Python closely paralleled tidyverse concepts and best practices (dplyr and ggplot-esque syntax) and emphasized simple, semantic code and scalable solutions appropriate for small or large data. We covered git/GitHub, relational database concepts, cloud native data, and geospatial data use.