Collect text data and analyze it.
Collect data from the web and analyze it.
Implement machine learning methods for regression and classification.
Synthesize everything we have learned thus far.
Resolve code errors and generate reproducible R Markdown documents.
Implement elemental programming techniques in both contrieved and real-world scenarios.
Wrangle and explore messy datasets in practical research environments.
Transform and explore a cleaned dataset on gun deaths in the United States.
Test your software installation, our GitHub setup, and our homework submission process via pull request, as well as demonstrate competency in Markdown.