UW Courses Related to Data Science

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)

  • Applied Bayesian Analysis (STAT 4270/5270, spring 2022, Jared Studyvin)

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)

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