Pinned Repositories
CSS-Project7-Team4
Computational-Social-Science-Training-Program
This course is a rigorous, year-long introduction to computational social science. We cover topics spanning reproducibility and collaboration, machine learning, natural language processing, and causal inference. This course has a strong applied focus with emphasis placed on doing computational social science.
Excel-Fundamentals
D-Lab's six-hour introduction to the basics of Microsoft Excel (with support materials for Google Sheets). Learn Excel functions for handling text, math, dates, logic, and calculations; learn to create charts and pivot tables.
R-Fundamentals
D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations, use control flow structures, and more, using R in RStudio.
R-Machine-Learning
D-Lab's 4-hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.
BashGit
D-Lab's 3 hour introduction to basic Bash commands and Git/GitHub.
my-first-repo
Test repo
project5
sociologyquinn.github.io
Survivor-Merge
sociologyquinn's Repositories
sociologyquinn/sociologyquinn.github.io
sociologyquinn/BashGit
D-Lab's 3 hour introduction to basic Bash commands and Git/GitHub.
sociologyquinn/my-first-repo
Test repo
sociologyquinn/project5
sociologyquinn/Survivor-Merge