NTRES 6100

Cornell University, Spring 2023

This website complements the class Canvas site.

Instructor: Assistant Professor Nina Overgaard Therkildsen   TA: Ph.D. Student Azwad Iqbal

Meeting times and locations

Lectures:
Tuesday and Thursday 9:40am - 10:55am
(January 24 - March 31, 2023)
Fernow Hall G24

Optional lab sessions:
Hands-on practice sessions in groups and with TA support
Thursday session: 12:25pm - 2:20pm, Fernow Hall G01
Friday session: 12:25pm - 2:20pm, Fernow Hall G01

Course description

As datasets grow larger and more complex across all areas of science, computational skills are increasingly in high demand. This course introduces a series of practical tools that enable researchers to spend less time wrestling with software or repeating error-prone manual data processing and more time getting research done in efficient and transparent ways that facilitate collaboration and reproducibility. We will work in R/RStudio, primarily with the tidyverse packages and with Git and GitHub integration. The course emphasizes practical skill development and will be structured around hands-on (the keyboard) learning.

By the end of this course, students will be able to:

  • Describe strategies for ensuring that their data analysis is reproducible
  • Demonstrate best practices for coding and project-oriented workflows in RStudio
  • Import and clean messy data files using a variety of packages and functions in R
  • Subset, reorganize, and merge diverse datasets in R
  • Effectively explore and visualize patterns in complex datasets with ggplot in R
  • Write simple functions/programs and data analysis pipelines in R
  • Automate repeated analysis tasks in R
  • Track the history of file changes (version control) and collaborate effectively on scripts with others with Git and GitHub
  • Use R Markdown to combine text, equations, code, tables, and figures into reports, websites, and presentations