Bren School of Environmental Science and Management (UC Santa Barbara)

ESM 206: Introduction to environmental data analysis & stats in R

Materials in development, excuse the dust

Course description: Develop critical thinking, technical and communication skills to successfully approach and answer environmental questions using quantitative and qualitative data. Topics include: data wrangling using the tidyverse and tidy data principles, exploratory data analysis and visualization, descriptive statistics, uncertainty, hypothesis testing, data visualization and communication. Best practices for reproducibility, version control and collaboration are emphasized throughout. Skills will be developed through wrangling, analysis and communication of datasets using R, RStudio and GitHub.

Course goals:

Intro to R/RStudio

Data wrangling with the tidyverse

Data visualization with ggplot2

Exploratory data analysis

Summary statistics and hypothesis testing

Regression (linear, logistic)

Reproducible workflows for collaborative data science

ESM 244: Advanced methods for environmental data analysis in R

Materials in development, excuse the dust

ESM 244 course description: A survey course in advanced topics in statistics and data analysis for environmental scientists (ordinal and multinomial logistic regression, bootstrapping, non-linear models, intro to time-series analysis, spatial data analysis and interpolation, ordination methods, cluster analysis, text mining, etc.) while continuing to build skills and habits in data science (data wrangling, analysis & computational reproducibility in R/RStudio, version control and collaboration with R and GitHub). Term project: build a Shiny app.

Allison is a lecturer at the Bren School of Environmental Science and Management (UC Santa Barbara), where she has been teaching data analysis, statistics, and presentation skills courses in an applied environmental graduate program since 2012. In addition, she teaches introductory and refresher workshops in R for incoming graduate students and alumni. She is a co-founder of R-Ladies Santa Barbara, and recently co-founded a #tidytuesday coding club at UCSB. Allison completed her studies in engineering (BS Chemical Engineering, MS Mechanical Engineering) before earning her PhD in Environmental Nanotoxicology from UCSB.

Teaching

ESM 206: Introductory data analysis and statistics in environmental science and management (2012 - present)

ESM 244: Advanced methods in environmental data science (2012 - present)

ESM 438: Presentation skills for environmental professionals (2013 - present)

Calculus intensive workshop: a 2-week calculus refresher course for incoming graduate students at the Bren School (2008 - present)

Data analysis workshop: a 2-week quantitative methods and introduction to R workshop for incoming PhD students at UCSB (2016 - present)

Distinctions

Bren School Distinguished Teaching Award (2018)

UC Santa Barbara Distinguished Teaching Award (2019)