# install the major packages from the course published on CRANinstall.packages(c("tidyverse", "tidymodels", "devtools", "usethis","colorspace", "janitor", "skimr", "tidytext"))# install a package hosted on GitHubremotes::install_github(repo ="cis-ds/rcis")
usethis::create_github_token(scopes =c("repo", "user", "gist", "workflow"),description ="<DESCRIBE YOUR DEVICE>")
Store PAT
gitcreds::gitcreds_set()#> ? Enter password or token: ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx#> -> Adding new credentials...#> -> Removing credentials from cache...#> -> Done.
Create PAT
usethis::create_github_token(scopes =c("repo", "user", "gist", "workflow"),description ="<DESCRIBE YOUR DEVICE>",host ="https://github.coecis.cornell.edu/")
Store PAT
gitcreds::gitcreds_set(url ="https://github.coecis.cornell.edu/")#> ? Enter password or token: ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx#> -> Adding new credentials...#> -> Removing credentials from cache...#> -> Done.
What have you learned?
Learning objectives for INFO 2950
Conduct exploratory data analysis through data wrangling and munging as well as visualizations and summary statistics.
Identify patterns in data to make predictions or to identify associations between variables.
Evaluate the strength of patterns using statistical and substantive significance.
Implement data science workflows using common, reproducible methods and software tools.
Use data ethically and responsibly.
Where to go from here
Courses
INFO 3312: Data Communication
INFO 3350: Text Mining for History and Literature
INFO 3370: Studying Social Inequality Using Data Science
INFO 3900: Causal Inference
INFO 3950: Data Analytics for Information Science
INFO 4100: Learning Analytics
INFO 4390: Practical Principles for Designing Fair Algorithms