Here is a working list of courses that are related to data science:
- Computational Biology (Botany 4550/5550, Alex Buerkle)
- Computational Biology Practicum (Botany 5555, Alex Buerkle)
- Ecological Modeling (Botany 5600, Daniel Laughlin)
Quantitative Analyses of Field Data (Zoology 5500 or Ecology 5500, Corey Tarwater)
- Applied Spatial Statistics for Natural Resource Management (Geography 5880 / Ecology 5620, Shannon Albeke)
- Techniques in Environmental Data Management (Geography 5050 / Ecology 5050 / ENR 5050, Shannon Albeke)
- Microbial Diversity and Ecology (ECOL5540, MOLB4540/5540, MICR4540, SOIL4540/5540, Linda van Diepen)
- Introduction to R for Wildlife Ecologists (ZOO 5890 11, Jerod Merkle)
- Animal Movement and Habitat Selection Modeling (ZOO 5890-04, Jerod Merkle)
- Data Visualization in Ecology (ENR 5890, spring 2020, Joe Holbrook)
- Data Wrangling and Visualization in R (BOT 5790, spring 2021, Lauren Shoemaker).
Additionally, there are various training opportunities that are offered on a shorter time scale, on demand and online, or both.
- Intro to HPC at UW (Online Course not for Credit, ARCC/ Dylan Perkins)
- ...