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Teaching

• STAT 412/612, Statistical Programming in R
  • This course takes students with little or no background in computing and guides them through most of the material covered in R for Data Science.
  • https://dcgerard.github.io/stat_412_612/
• STAT 413/613 Data Science
  • This course trains students on a suite of tools necessary for a successful career in Data Science, including version control (git), large(ish) data analysis (data.table), and data communication (R Shiny). I also provide a review of basic statistical inference and emphasize how one performs such inference in R. I teach this course almost entirely using GitHub Classroom.
  • https://data-science-master.github.io/lectures/
• STAT 614 Statistical Methods
  • This course was designed to get physical and social science masters students proficient enough to analyze their own data and convey statistical results to their peers. This course focused on actually analyzing data, interpreting results, and effectively communicating statistical conclusions. My teaching website for this course is publicly available at
  • https://dcgerard.github.io/stat614/
• STAT 234, Introductory Statistics
  • This course was a standard introduction to Statistics for non-majors plus some light mathematical theory. The content included introductions to probability, inference, and the R statistical computing language. My teaching website for this course is publicly available at
  • https://dcgerard.github.io/stat234/index.html